1
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Wang J, Miao Y. Ligand Gaussian Accelerated Molecular Dynamics 3 (LiGaMD3): Improved Calculations of Binding Thermodynamics and Kinetics of Both Small Molecules and Flexible Peptides. J Chem Theory Comput 2024; 20:5829-5841. [PMID: 39002136 DOI: 10.1021/acs.jctc.4c00502] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/15/2024]
Abstract
Binding thermodynamics and kinetics play critical roles in drug design. However, it has proven challenging to efficiently predict ligand binding thermodynamics and kinetics of small molecules and flexible peptides using conventional molecular dynamics (cMD), due to limited simulation time scales. Based on our previously developed ligand Gaussian accelerated molecular dynamics (LiGaMD) method, we present a new approach, termed "LiGaMD3″, in which we introduce triple boosts into three individual energy terms that play important roles in small-molecule/peptide dissociation, rebinding, and system conformational changes to improve the sampling efficiency of small-molecule/peptide interactions with target proteins. To validate the performance of LiGaMD3, MDM2 bound by a small molecule (Nutlin 3) and two highly flexible peptides (PMI and P53) were chosen as the model systems. LiGaMD3 could efficiently capture repetitive small-molecule/peptide dissociation and binding events within 2 μs simulations. The predicted binding kinetic constant rates and free energies from LiGaMD3 were in agreement with the available experimental values and previous simulation results. Therefore, LiGaMD3 provides a more general and efficient approach to capture dissociation and binding of both small-molecule ligands and flexible peptides, allowing for accurate prediction of their binding thermodynamics and kinetics.
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Affiliation(s)
- Jinan Wang
- Computational Medicine Program and Department of Pharmacology, University of North Carolina-Chapel Hill, Chapel Hill, North Carolina 27599, United States
| | - Yinglong Miao
- Computational Medicine Program and Department of Pharmacology, University of North Carolina-Chapel Hill, Chapel Hill, North Carolina 27599, United States
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2
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Pinto MF, Sirina J, Holliday ND, McWhirter CL. High-throughput kinetics in drug discovery. SLAS DISCOVERY : ADVANCING LIFE SCIENCES R & D 2024; 29:100170. [PMID: 38964171 DOI: 10.1016/j.slasd.2024.100170] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/05/2024] [Revised: 05/21/2024] [Accepted: 06/17/2024] [Indexed: 07/06/2024]
Abstract
The importance of a drug's kinetic profile and interplay of structure-kinetic activity with PK/PD has long been appreciated in drug discovery. However, technical challenges have often limited detailed kinetic characterization of compounds to the latter stages of projects. This review highlights the advances that have been made in recent years in techniques, instrumentation, and data analysis to increase the throughput of detailed kinetic and mechanistic characterization, enabling its application earlier in the drug discovery process.
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Affiliation(s)
- Maria Filipa Pinto
- Artios Pharma Ltd, B940, Babraham Research Campus, Cambridge CB22 3FH, United Kingdom
| | - Julija Sirina
- Excellerate Bioscience Ltd, 21 The Triangle, NG2 Business Park, Nottingham, NG2 1AE, United Kingdom
| | - Nicholas D Holliday
- Excellerate Bioscience Ltd, 21 The Triangle, NG2 Business Park, Nottingham, NG2 1AE, United Kingdom; School of Life Sciences, The Medical School, University of Nottingham, Nottingham, NG7 2UH, United Kingdom
| | - Claire L McWhirter
- Artios Pharma Ltd, B940, Babraham Research Campus, Cambridge CB22 3FH, United Kingdom.
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3
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Combarel D, Dousset L, Bouchet S, Ferrer F, Tetu P, Lebbe C, Ciccolini J, Meyer N, Paci A. Tyrosine kinase inhibitors in cancers: Treatment optimization - Part I. Crit Rev Oncol Hematol 2024; 199:104384. [PMID: 38762217 DOI: 10.1016/j.critrevonc.2024.104384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Revised: 05/02/2024] [Accepted: 05/03/2024] [Indexed: 05/20/2024] Open
Abstract
A multitude of TKI has been developed and approved targeting various oncogenetic alterations. While these have provided improvements in efficacy compared with conventional chemotherapies, resistance to targeted therapies occurs. Mutations in the kinase domain result in the inability of TKI to inactivate the protein kinase. Also, gene amplification, increased protein expression and downstream activation or bypassing of signalling pathways are commonly reported mechanisms of resistance. Improved understanding of mechanisms involved in TKI resistance has resulted in the development of new generations of targeted agents. In a race against time, the search for new, more potent and efficient drugs, and/or combinations of drugs, remains necessary as new resistance mechanisms to the latest generation of TKI emerge. This review examines the various generations of TKI approved to date and their common mechanisms of resistance, focusing on TKI targeting BCR-ABL, epidermal growth factor receptor, anaplastic lymphoma kinase and BRAF/MEK tyrosine kinases.
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Affiliation(s)
- David Combarel
- Service de Pharmacologie, Département de Biologie et Pathologie médicales, Gustave Roussy, Villejuif 94805, France; Service de Pharmacocinétique, Faculté de Pharmacie, Université Paris Saclay, Châtenay-Malabry 92 296, France
| | - Léa Dousset
- Dermatology Department, Bordeaux University Hospital, Bordeaux, France
| | - Stéphane Bouchet
- Département de Pharmacologie, Centre Hospitalier Universitaire de Bordeaux, Bordeaux, France
| | - Florent Ferrer
- Department of Pharmacology, Clermont-Ferrand University Hospital, Clermont-Ferrand, France; SMARTc Unit, CRCM Inserm U1068, Aix Marseille Univ and APHM, Marseille, France
| | - Pauline Tetu
- Department of Dermatology, APHP Dermatology, Paris 7 Diderot University, INSERM U976, Hôpital Saint-Louis, Paris, France
| | - Céleste Lebbe
- Department of Dermatology, APHP Dermatology, Paris 7 Diderot University, INSERM U976, Hôpital Saint-Louis, Paris, France
| | - Joseph Ciccolini
- SMARTc Unit, CRCM Inserm U1068, Aix Marseille Univ and APHM, Marseille, France
| | - Nicolas Meyer
- Université Paul Sabatier-Toulouse III, Institut National de la Santé et de la Recherche Médicale Unité Mixte de Recherche 1037-CRCT, Toulouse, France
| | - Angelo Paci
- Service de Pharmacologie, Département de Biologie et Pathologie médicales, Gustave Roussy, Villejuif 94805, France; Service de Pharmacocinétique, Faculté de Pharmacie, Université Paris Saclay, Châtenay-Malabry 92 296, France.
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4
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Truong DT, Ho K, Nhi HTY, Nguyen VH, Dang TT, Nguyen MT. Imidazole[1,5-a]pyridine derivatives as EGFR tyrosine kinase inhibitors unraveled by umbrella sampling and steered molecular dynamics simulations. Sci Rep 2024; 14:12218. [PMID: 38806555 PMCID: PMC11133355 DOI: 10.1038/s41598-024-62743-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2024] [Accepted: 05/21/2024] [Indexed: 05/30/2024] Open
Abstract
Although the use of the tyrosine kinase inhibitors (TKIs) has been proved that it can save live in a cancer treatment, the currently used drugs bring in many undesirable side-effects. Therefore, the search for new drugs and an evaluation of their efficiency are intensively carried out. Recently, a series of eighteen imidazole[1,5-a]pyridine derivatives were synthetized by us, and preliminary analyses pointed out their potential to be an important platform for pharmaceutical development owing to their promising actions as anticancer agents and enzyme (kinase, HIV-protease,…) inhibitors. In the present theoretical study, we further analyzed their efficiency in using a realistic scenario of computational drug design. Our protocol has been developed to not only observe the atomistic interaction between the EGFR protein and our 18 novel compounds using both umbrella sampling and steered molecular dynamics simulations, but also determine their absolute binding free energies. Calculated properties of the 18 novel compounds were in detail compared with those of two known drugs, erlotinib and osimertinib, currently used in cancer treatment. Inspiringly the simulation results promote three imidazole[1,5-a]pyridine derivatives as promising inhibitors into a further step of clinical trials.
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Affiliation(s)
- Duc Toan Truong
- Laboratory for Chemical Computation and Modeling, Institute for Computational Science and Artificial Intelligence, Van Lang University, Ho Chi Minh City, 70000, Vietnam
- Faculty of Applied Technology, School of Technology, Van Lang University, Ho Chi Minh City, 70000, Vietnam
| | - Kiet Ho
- Institute for Computational Science and Technology (ICST), Quang Trung Software City, Ho Chi Minh City, 70000, Vietnam
| | - Huynh Thi Yen Nhi
- Laboratory for Chemical Computation and Modeling, Institute for Computational Science and Artificial Intelligence, Van Lang University, Ho Chi Minh City, 70000, Vietnam
| | - Van Ha Nguyen
- Faculty of Chemistry, VNU University of Science, Vietnam National University, Hanoi, 19 Le Thanh Tong, Hoan Kiem, Hanoi, 11021, Vietnam
| | - Tuan Thanh Dang
- Faculty of Chemistry, VNU University of Science, Vietnam National University, Hanoi, 19 Le Thanh Tong, Hoan Kiem, Hanoi, 11021, Vietnam
| | - Minh Tho Nguyen
- Laboratory for Chemical Computation and Modeling, Institute for Computational Science and Artificial Intelligence, Van Lang University, Ho Chi Minh City, 70000, Vietnam.
- Faculty of Applied Technology, School of Technology, Van Lang University, Ho Chi Minh City, 70000, Vietnam.
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5
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Himmelbauer M, Bajrami B, Basile R, Capacci A, Chen T, Choi CK, Gilfillan R, Gonzalez-Lopez de Turiso F, Gu C, Hoemberger M, Johnson DS, Jones JH, Kadakia E, Kirkland M, Lin EY, Liu Y, Ma B, Magee T, Mantena S, Marx IE, Metrick CM, Mingueneau M, Murugan P, Muste CA, Nadella P, Nevalainen M, Parker Harp CR, Pattaropong V, Pietrasiewicz A, Prince RJ, Purgett TJ, Santoro JC, Schulz J, Sciabola S, Tang H, Vandeveer HG, Wang T, Yousaf Z, Helal CJ, Hopkins BT. Discovery and Preclinical Characterization of BIIB129, a Covalent, Selective, and Brain-Penetrant BTK Inhibitor for the Treatment of Multiple Sclerosis. J Med Chem 2024; 67:8122-8140. [PMID: 38712838 PMCID: PMC11129193 DOI: 10.1021/acs.jmedchem.4c00220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Revised: 04/03/2024] [Accepted: 04/10/2024] [Indexed: 05/08/2024]
Abstract
Multiple sclerosis (MS) is a chronic disease with an underlying pathology characterized by inflammation-driven neuronal loss, axonal injury, and demyelination. Bruton's tyrosine kinase (BTK), a nonreceptor tyrosine kinase and member of the TEC family of kinases, is involved in the regulation, migration, and functional activation of B cells and myeloid cells in the periphery and the central nervous system (CNS), cell types which are deemed central to the pathology contributing to disease progression in MS patients. Herein, we describe the discovery of BIIB129 (25), a structurally distinct and brain-penetrant targeted covalent inhibitor (TCI) of BTK with an unprecedented binding mode responsible for its high kinome selectivity. BIIB129 (25) demonstrated efficacy in disease-relevant preclinical in vivo models of B cell proliferation in the CNS, exhibits a favorable safety profile suitable for clinical development as an immunomodulating therapy for MS, and has a low projected total human daily dose.
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Affiliation(s)
- Martin
K. Himmelbauer
- Biogen Research and Development, 225 Binney Street, Cambridge, Massachusetts 02142, United States
| | - Bekim Bajrami
- Biogen Research and Development, 225 Binney Street, Cambridge, Massachusetts 02142, United States
| | - Rebecca Basile
- Biogen Research and Development, 225 Binney Street, Cambridge, Massachusetts 02142, United States
| | - Andrew Capacci
- Biogen Research and Development, 225 Binney Street, Cambridge, Massachusetts 02142, United States
| | - TeYu Chen
- Biogen Research and Development, 225 Binney Street, Cambridge, Massachusetts 02142, United States
| | - Colin K. Choi
- Biogen Research and Development, 225 Binney Street, Cambridge, Massachusetts 02142, United States
| | - Rab Gilfillan
- Biogen Research and Development, 225 Binney Street, Cambridge, Massachusetts 02142, United States
| | | | - Chungang Gu
- Biogen Research and Development, 225 Binney Street, Cambridge, Massachusetts 02142, United States
| | - Marc Hoemberger
- Biogen Research and Development, 225 Binney Street, Cambridge, Massachusetts 02142, United States
| | - Douglas S. Johnson
- Biogen Research and Development, 225 Binney Street, Cambridge, Massachusetts 02142, United States
| | - J. Howard Jones
- Biogen Research and Development, 225 Binney Street, Cambridge, Massachusetts 02142, United States
| | - Ekta Kadakia
- Biogen Research and Development, 225 Binney Street, Cambridge, Massachusetts 02142, United States
| | - Melissa Kirkland
- Biogen Research and Development, 225 Binney Street, Cambridge, Massachusetts 02142, United States
| | - Edward Y. Lin
- Biogen Research and Development, 225 Binney Street, Cambridge, Massachusetts 02142, United States
| | - Ying Liu
- Biogen Research and Development, 225 Binney Street, Cambridge, Massachusetts 02142, United States
| | - Bin Ma
- Biogen Research and Development, 225 Binney Street, Cambridge, Massachusetts 02142, United States
| | - Tom Magee
- Biogen Research and Development, 225 Binney Street, Cambridge, Massachusetts 02142, United States
| | - Srinivasa Mantena
- Biogen Research and Development, 225 Binney Street, Cambridge, Massachusetts 02142, United States
| | - Isaac E. Marx
- Biogen Research and Development, 225 Binney Street, Cambridge, Massachusetts 02142, United States
| | - Claire M. Metrick
- Biogen Research and Development, 225 Binney Street, Cambridge, Massachusetts 02142, United States
| | - Michael Mingueneau
- Biogen Research and Development, 225 Binney Street, Cambridge, Massachusetts 02142, United States
| | - Paramasivam Murugan
- Biogen Research and Development, 225 Binney Street, Cambridge, Massachusetts 02142, United States
| | - Cathy A. Muste
- Biogen Research and Development, 225 Binney Street, Cambridge, Massachusetts 02142, United States
| | - Prasad Nadella
- Biogen Research and Development, 225 Binney Street, Cambridge, Massachusetts 02142, United States
| | - Marta Nevalainen
- Biogen Research and Development, 225 Binney Street, Cambridge, Massachusetts 02142, United States
| | - Chelsea R. Parker Harp
- Biogen Research and Development, 225 Binney Street, Cambridge, Massachusetts 02142, United States
| | - Vatee Pattaropong
- Biogen Research and Development, 225 Binney Street, Cambridge, Massachusetts 02142, United States
| | - Alicia Pietrasiewicz
- Biogen Research and Development, 225 Binney Street, Cambridge, Massachusetts 02142, United States
| | - Robin J. Prince
- Biogen Research and Development, 225 Binney Street, Cambridge, Massachusetts 02142, United States
| | - Thomas J. Purgett
- Biogen Research and Development, 225 Binney Street, Cambridge, Massachusetts 02142, United States
| | - Joseph C. Santoro
- Biogen Research and Development, 225 Binney Street, Cambridge, Massachusetts 02142, United States
| | - Jurgen Schulz
- Biogen Research and Development, 225 Binney Street, Cambridge, Massachusetts 02142, United States
| | - Simone Sciabola
- Biogen Research and Development, 225 Binney Street, Cambridge, Massachusetts 02142, United States
| | - Hao Tang
- Biogen Research and Development, 225 Binney Street, Cambridge, Massachusetts 02142, United States
| | - H. George Vandeveer
- Biogen Research and Development, 225 Binney Street, Cambridge, Massachusetts 02142, United States
| | - Ti Wang
- Biogen Research and Development, 225 Binney Street, Cambridge, Massachusetts 02142, United States
| | - Zain Yousaf
- Biogen Research and Development, 225 Binney Street, Cambridge, Massachusetts 02142, United States
| | - Christopher J. Helal
- Biogen Research and Development, 225 Binney Street, Cambridge, Massachusetts 02142, United States
| | - Brian T. Hopkins
- Biogen Research and Development, 225 Binney Street, Cambridge, Massachusetts 02142, United States
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6
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Peng K, Wallace SD, Bagde SR, Shang J, Anmangandla A, Jana S, Fromme JC, Lin H. GS-441524-Diphosphate-Ribose Derivatives as Nanomolar Binders and Fluorescence Polarization Tracers for SARS-CoV-2 and Other Viral Macrodomains. ACS Chem Biol 2024; 19:1093-1105. [PMID: 38646883 PMCID: PMC11106745 DOI: 10.1021/acschembio.4c00027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2024] [Revised: 03/28/2024] [Accepted: 04/09/2024] [Indexed: 04/23/2024]
Abstract
Viral macrodomains that can bind to or hydrolyze protein adenosine diphosphate ribosylation (ADP-ribosylation) have emerged as promising targets for antiviral drug development. Many inhibitor development efforts have been directed against the severe acute respiratory syndrome coronavirus 2 macrodomain 1 (SARS-CoV-2 Mac1). However, potent inhibitors for viral macrodomains are still lacking, with the best inhibitors still in the micromolar range. Based on GS-441524, a remdesivir precursor, and our previous studies, we have designed and synthesized potent binders of SARS-CoV-2 Mac1 and other viral macrodomains including those of Middle East respiratory syndrome coronavirus (MERS-CoV), Venezuelan equine encephalitis virus (VEEV), and Chikungunya virus (CHIKV). We show that the 1'-CN group of GS-441524 promotes binding to all four viral macrodomains tested while capping the 1″-OH of GS-441524-diphosphate-ribose with a simple phenyl ring further contributes to binding. Incorporating these two structural features, the best binders show 20- to 6000-fold increases in binding affinity over ADP-ribose for SARS-CoV-2, MERS-CoV, VEEV, and CHIKV macrodomains. Moreover, building on these potent binders, we have developed two highly sensitive fluorescence polarization tracers that only require nanomolar proteins and can effectively resolve the binding affinities of nanomolar inhibitors. Our findings and probes described here will facilitate future development of more potent viral macrodomain inhibitors.
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Affiliation(s)
- Kewen Peng
- Department
of Chemistry and Chemical Biology, Cornell
University, Ithaca, New York 14853, United States
| | - Shamar D. Wallace
- Department
of Molecular Biology and Genetics, Weill Institute for Cell and Molecular
Biology, Cornell University, Ithaca, New York 14853, United States
| | - Saket R. Bagde
- Department
of Molecular Biology and Genetics, Weill Institute for Cell and Molecular
Biology, Cornell University, Ithaca, New York 14853, United States
| | - Jialin Shang
- Department
of Chemistry and Chemical Biology, Cornell
University, Ithaca, New York 14853, United States
| | - Ananya Anmangandla
- Department
of Chemistry and Chemical Biology, Cornell
University, Ithaca, New York 14853, United States
| | - Sadhan Jana
- Department
of Chemistry and Chemical Biology, Cornell
University, Ithaca, New York 14853, United States
| | - J. Christopher Fromme
- Department
of Molecular Biology and Genetics, Weill Institute for Cell and Molecular
Biology, Cornell University, Ithaca, New York 14853, United States
| | - Hening Lin
- Howard
Hughes Medical Institute, Department of Chemistry and Chemical Biology,
Department of Molecular Biology and Genetics, Cornell University, Ithaca, New York 14853, United States
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7
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Spiriti J, Wong CF. Quantitative Prediction of Dissociation Rates of PYK2 Ligands Using Umbrella Sampling and Milestoning. J Chem Theory Comput 2024; 20:4029-4044. [PMID: 38640609 DOI: 10.1021/acs.jctc.4c00192] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/21/2024]
Abstract
We used umbrella sampling and the milestoning simulation method to study the dissociation of multiple ligands from protein kinase PYK2. The activation barriers obtained from the potential of mean force of the umbrella sampling simulations correlated well with the experimental dissociation rates. Using the zero-temperature string method, we obtained optimized paths along the free-energy surfaces for milestoning simulations of three ligands with a similar structure. The milestoning simulations gave an absolute dissociation rate within 2 orders of magnitude of the experimental value for two ligands but at least 3 orders of magnitude too high for the third. Despite the similarity in their structures, the ligands took different pathways to exit from the binding site of PYK2, making contact with different sets of residues. In addition, the protein experienced different conformational changes for dissociation of the three ligands.
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Affiliation(s)
- Justin Spiriti
- Department of Chemistry and Biochemistry, University of Missouri-St. Louis, St. Louis, Missouri 63121, United States
| | - Chung F Wong
- Department of Chemistry and Biochemistry, University of Missouri-St. Louis, St. Louis, Missouri 63121, United States
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8
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Wang J, Miao Y. Ligand Gaussian accelerated Molecular Dynamics 3 (LiGaMD3): Improved Calculations of Binding Thermodynamics and Kinetics of Both Small Molecules and Flexible Peptides. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.06.592668. [PMID: 38766067 PMCID: PMC11100592 DOI: 10.1101/2024.05.06.592668] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2024]
Abstract
Binding thermodynamics and kinetics play critical roles in drug design. However, it has proven challenging to efficiently predict ligand binding thermodynamics and kinetics of small molecules and flexible peptides using conventional Molecular Dynamics (cMD), due to limited simulation timescales. Based on our previously developed Ligand Gaussian accelerated Molecular Dynamics (LiGaMD) method, we present a new approach, termed "LiGaMD3", in which we introduce triple boosts into three individual energy terms that play important roles in small-molecule/peptide dissociation, rebinding and system conformational changes to improve the sampling efficiency of small-molecule/peptide interactions with target proteins. To validate the performance of LiGaMD3, MDM2 bound by a small molecule (Nutlin 3) and two highly flexible peptides (PMI and P53) were chosen as model systems. LiGaMD3 could efficiently capture repetitive small-molecule/peptide dissociation and binding events within 2 microsecond simulations. The predicted binding kinetic constant rates and free energies from LiGaMD3 agreed with available experimental values and previous simulation results. Therefore, LiGaMD3 provides a more general and efficient approach to capture dissociation and binding of both small-molecule ligand and flexible peptides, allowing for accurate prediction of their binding thermodynamics and kinetics.
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Affiliation(s)
- Jinan Wang
- Computational Medicine Program and Department of Pharmacology, University of North Carolina – Chapel Hill, Chapel Hill, North Carolina, USA 27599
| | - Yinglong Miao
- Computational Medicine Program and Department of Pharmacology, University of North Carolina – Chapel Hill, Chapel Hill, North Carolina, USA 27599
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9
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Xerxa E, Bajorath J. Data-oriented protein kinase drug discovery. Eur J Med Chem 2024; 271:116413. [PMID: 38636127 DOI: 10.1016/j.ejmech.2024.116413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2024] [Revised: 04/06/2024] [Accepted: 04/11/2024] [Indexed: 04/20/2024]
Abstract
The continued growth of data from biological screening and medicinal chemistry provides opportunities for data-driven experimental design and decision making in early-phase drug discovery. Approaches adopted from data science help to integrate internal and public domain data and extract knowledge from historical in-house data. Protein kinase (PK) drug discovery is an exemplary area where large amounts of data are accumulating, providing a valuable knowledge base for discovery projects. Herein, the evolution of PK drug discovery and development of small molecular PK inhibitors (PKIs) is reviewed, highlighting milestone developments in the field and discussing exemplary studies providing a basis for increasing data orientation of PK discovery efforts.
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Affiliation(s)
- Elena Xerxa
- Department of Life Science Informatics and Data Science, B-IT, LIMES Program Unit Chemical Biology and Medicinal Chemistry, Lamarr Institute for Machine Learning and Artificial Intelligence, Rheinische Friedrich-Wilhelms-Universität, Friedrich-Hirzebruch-Allee 5/6, D-53115, Bonn, Germany
| | - Jürgen Bajorath
- Department of Life Science Informatics and Data Science, B-IT, LIMES Program Unit Chemical Biology and Medicinal Chemistry, Lamarr Institute for Machine Learning and Artificial Intelligence, Rheinische Friedrich-Wilhelms-Universität, Friedrich-Hirzebruch-Allee 5/6, D-53115, Bonn, Germany.
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10
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Liu C, Vorderbruggen M, Muñoz-Trujillo C, Kim SH, Katzenellenbogen JA, Katzenellenbogen BS, Karpf AR. NB compounds are potent and efficacious FOXM1 inhibitors in high-grade serous ovarian cancer cells. J Ovarian Res 2024; 17:94. [PMID: 38704607 PMCID: PMC11069232 DOI: 10.1186/s13048-024-01421-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Accepted: 04/20/2024] [Indexed: 05/06/2024] Open
Abstract
BACKGROUND Genetic studies implicate the oncogenic transcription factor Forkhead Box M1 (FOXM1) as a potential therapeutic target in high-grade serous ovarian cancer (HGSOC). We evaluated the activity of different FOXM1 inhibitors in HGSOC cell models. RESULTS We treated HGSOC and fallopian tube epithelial (FTE) cells with a panel of previously reported FOXM1 inhibitors. Based on drug potency, efficacy, and selectivity, determined through cell viability assays, we focused on two compounds, NB-73 and NB-115 (NB compounds), for further investigation. NB compounds potently and selectively inhibited FOXM1 with lesser effects on other FOX family members. NB compounds decreased FOXM1 expression via targeting the FOXM1 protein by promoting its proteasome-mediated degradation, and effectively suppressed FOXM1 gene targets at both the protein and mRNA level. At the cellular level, NB compounds promoted apoptotic cell death. Importantly, while inhibition of apoptosis using a pan-caspase inhibitor rescued HGSOC cells from NB compound-induced cell death, it did not rescue FOXM1 protein degradation, supporting that FOXM1 protein loss from NB compound treatment is specific and not a general consequence of cytotoxicity. Drug washout studies indicated that FOXM1 reduction was retained for at least 72 h post-treatment, suggesting that NB compounds exhibit long-lasting effects in HGSOC cells. NB compounds effectively suppressed both two-dimensional and three-dimensional HGSOC cell colony formation at sub-micromolar concentrations. Finally, NB compounds exhibited synergistic activity with carboplatin in HGSOC cells. CONCLUSIONS NB compounds are potent, selective, and efficacious inhibitors of FOXM1 in HGSOC cells and are worthy of further investigation as HGSOC therapeutics.
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Affiliation(s)
- Cassie Liu
- Eppley Institute, University of Nebraska Medical Center, Omaha, NE, 68918-6805, USA
- Fred and Pamela Buffett Cancer Center, University of Nebraska Medical Center, Omaha, NE, 68918-6805, USA
| | - Makenzie Vorderbruggen
- Eppley Institute, University of Nebraska Medical Center, Omaha, NE, 68918-6805, USA
- Fred and Pamela Buffett Cancer Center, University of Nebraska Medical Center, Omaha, NE, 68918-6805, USA
| | - Catalina Muñoz-Trujillo
- Eppley Institute, University of Nebraska Medical Center, Omaha, NE, 68918-6805, USA
- Fred and Pamela Buffett Cancer Center, University of Nebraska Medical Center, Omaha, NE, 68918-6805, USA
| | - Sung Hoon Kim
- Department of Chemistry, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
| | - John A Katzenellenbogen
- Department of Chemistry, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
- Cancer Center, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
| | - Benita S Katzenellenbogen
- Department of Molecular and Integrative Physiology, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
- Cancer Center, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
| | - Adam R Karpf
- Eppley Institute, University of Nebraska Medical Center, Omaha, NE, 68918-6805, USA.
- Fred and Pamela Buffett Cancer Center, University of Nebraska Medical Center, Omaha, NE, 68918-6805, USA.
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11
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Bosch B, DeJesus MA, Schnappinger D, Rock JM. Weak links: Advancing target-based drug discovery by identifying the most vulnerable targets. Ann N Y Acad Sci 2024; 1535:10-19. [PMID: 38595325 DOI: 10.1111/nyas.15139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/11/2024]
Abstract
Mycobacterium tuberculosis remains the most common infectious killer worldwide despite decades of antitubercular drug development. Effectively controlling the tuberculosis (TB) pandemic will require innovation in drug discovery. In this review, we provide a brief overview of the two main approaches to discovering new TB drugs-phenotypic screens and target-based drug discovery-and outline some of the limitations of each method. We then explore recent advances in genetic tools that aim to overcome some of these limitations. In particular, we highlight a novel metric to prioritize essential targets, termed vulnerability. Stratifying targets based on their vulnerability presents new opportunities for future target-based drug discovery campaigns.
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Affiliation(s)
- Barbara Bosch
- Laboratory of Host-Pathogen Biology, The Rockefeller University, New York, New York, USA
| | - Michael A DeJesus
- Laboratory of Host-Pathogen Biology, The Rockefeller University, New York, New York, USA
| | - Dirk Schnappinger
- Department of Microbiology and Immunology, Weill Cornell Medicine, New York, New York, USA
| | - Jeremy M Rock
- Laboratory of Host-Pathogen Biology, The Rockefeller University, New York, New York, USA
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12
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Vlachodimou A, Bouma J, De Cleyn M, Berthelot D, Pype S, Bosmans JP, van Vlijmen H, Wroblowski B, Heitman LH, IJzerman AP. Kinetic profiling of novel spirobenzo-oxazinepiperidinone derivatives as equilibrative nucleoside transporter 1 inhibitors. Purinergic Signal 2024; 20:193-205. [PMID: 37423967 PMCID: PMC10997566 DOI: 10.1007/s11302-023-09948-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Accepted: 05/26/2023] [Indexed: 07/11/2023] Open
Abstract
Evaluation of kinetic parameters of drug-target binding, kon, koff, and residence time (RT), in addition to the traditional in vitro parameter of affinity is receiving increasing attention in the early stages of drug discovery. Target binding kinetics emerges as a meaningful concept for the evaluation of a ligand's duration of action and more generally drug efficacy and safety. We report the biological evaluation of a novel series of spirobenzo-oxazinepiperidinone derivatives as inhibitors of the human equilibrative nucleoside transporter 1 (hENT1, SLC29A1). The compounds were evaluated in radioligand binding experiments, i.e., displacement, competition association, and washout assays, to evaluate their affinity and binding kinetic parameters. We also linked these pharmacological parameters to the compounds' chemical characteristics, and learned that separate moieties of the molecules governed target affinity and binding kinetics. Among the 29 compounds tested, 28 stood out with high affinity and a long residence time of 87 min. These findings reveal the importance of supplementing affinity data with binding kinetics at transport proteins such as hENT1.
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Affiliation(s)
- Anna Vlachodimou
- Division of Drug Discovery and Safety, Leiden Academic Centre for Drug Research (LACDR), Leiden University, P.O. Box 9502, 2300 RA, Leiden, The Netherlands
| | - Jara Bouma
- Division of Drug Discovery and Safety, Leiden Academic Centre for Drug Research (LACDR), Leiden University, P.O. Box 9502, 2300 RA, Leiden, The Netherlands
| | - Michel De Cleyn
- Janssen Research and Development, Antwerpseweg 30, 2340, Beerse, Belgium
| | - Didier Berthelot
- Janssen Research and Development, Antwerpseweg 30, 2340, Beerse, Belgium
| | - Stefan Pype
- Janssen Research and Development, Antwerpseweg 30, 2340, Beerse, Belgium
| | - Jean-Paul Bosmans
- Janssen Research and Development, Antwerpseweg 30, 2340, Beerse, Belgium
| | - Herman van Vlijmen
- Division of Drug Discovery and Safety, Leiden Academic Centre for Drug Research (LACDR), Leiden University, P.O. Box 9502, 2300 RA, Leiden, The Netherlands
- Janssen Research and Development, Antwerpseweg 30, 2340, Beerse, Belgium
| | | | - Laura H Heitman
- Division of Drug Discovery and Safety, Leiden Academic Centre for Drug Research (LACDR), Leiden University, P.O. Box 9502, 2300 RA, Leiden, The Netherlands
| | - Adriaan P IJzerman
- Division of Drug Discovery and Safety, Leiden Academic Centre for Drug Research (LACDR), Leiden University, P.O. Box 9502, 2300 RA, Leiden, The Netherlands.
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13
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Mobasher M, Vogt M, Xerxa E, Bajorath J. Comprehensive Data-Driven Assessment of Non-Kinase Targets of Inhibitors of the Human Kinome. Biomolecules 2024; 14:258. [PMID: 38540679 PMCID: PMC10967794 DOI: 10.3390/biom14030258] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Revised: 02/13/2024] [Accepted: 02/20/2024] [Indexed: 07/23/2024] Open
Abstract
Protein kinases (PKs) are involved in many intracellular signal transduction pathways through phosphorylation cascades and have become intensely investigated pharmaceutical targets over the past two decades. Inhibition of PKs using small-molecular inhibitors is a premier strategy for the treatment of diseases in different therapeutic areas that are caused by uncontrolled PK-mediated phosphorylation and aberrant signaling. Most PK inhibitors (PKIs) are directed against the ATP cofactor binding site that is largely conserved across the human kinome comprising 518 wild-type PKs (and many mutant forms). Hence, these PKIs often have varying degrees of multi-PK activity (promiscuity) that is also influenced by factors such as single-site mutations in the cofactor binding region, compound binding kinetics, and residence times. The promiscuity of PKIs is often-but not always-critically important for therapeutic efficacy through polypharmacology. Various in vitro and in vivo studies have also indicated that PKIs have the potential of interacting with additional targets other than PKs, and different secondary cellular targets of individual PKIs have been identified on a case-by-case basis. Given the strong interest in PKs as drug targets, a wealth of PKIs from medicinal chemistry and their activity data from many assays and biological screens have become publicly available over the years. On the basis of these data, for the first time, we conducted a systematic search for non-PK targets of PKIs across the human kinome. Starting from a pool of more than 155,000 curated human PKIs, our large-scale analysis confirmed secondary targets from diverse protein classes for 447 PKIs on the basis of high-confidence activity data. These PKIs were active against 390 human PKs, covering all kinase groups of the kinome and 210 non-PK targets, which included other popular pharmaceutical targets as well as currently unclassified proteins. The target distribution and promiscuity of the 447 PKIs were determined, and different interaction profiles with PK and non-PK targets were identified. As a part of our study, the collection of PKIs with activity against non-PK targets and the associated information are made freely available.
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Affiliation(s)
| | | | | | - Jürgen Bajorath
- LIMES Program Unit Chemical Biology and Medicinal Chemistry, Department of Life Science Informatics and Data Science, B-IT, Lamarr Institute for Machine Learning and Artificial Intelligence, University of Bonn, Friedrich-Hirzebruch-Allee 5/6, 53115 Bonn, Germany
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14
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Stampelou M, Ladds G, Kolocouris A. Computational Workflow for Refining AlphaFold Models in Drug Design Using Kinetic and Thermodynamic Binding Calculations: A Case Study for the Unresolved Inactive Human Adenosine A 3 Receptor. J Phys Chem B 2024; 128:914-936. [PMID: 38236582 DOI: 10.1021/acs.jpcb.3c05986] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2024]
Abstract
A structure-based drug design pipeline that considers both thermodynamic and kinetic binding data of ligands against a receptor will enable the computational design of improved drug molecules. For unresolved GPCR-ligand complexes, a workflow that can apply both thermodynamic and kinetic binding data in combination with alpha-fold (AF)-derived or other homology models and experimentally resolved binding modes of relevant ligands in GPCR-homologs needs to be tested. Here, as test case, we studied a congeneric set of ligands that bind to a structurally unresolved G protein-coupled receptor (GPCR), the inactive human adenosine A3 receptor (hA3R). We tested three available homology models from which two have been generated from experimental structures of hA1R or hA2AR and one model was a multistate alphafold 2 (AF2)-derived model. We applied alchemical calculations with thermodynamic integration coupled with molecular dynamics (TI/MD) simulations to calculate the experimental relative binding free energies and residence time (τ)-random accelerated MD (τ-RAMD) simulations to calculate the relative residence times (RTs) for antagonists. While the TI/MD calculations produced, for the three homology models, good Pearson correlation coefficients, correspondingly, r = 0.74, 0.62, and 0.67 and mean unsigned error (mue) values of 0.94, 1.31, and 0.81 kcal mol-1, the τ-RAMD method showed r = 0.92 and 0.52 for the first two models but failed to produce accurate results for the multistate AF2-derived model. With subsequent optimization of the AF2-derived model by reorientation of the side chain of R1735.34 located in the extracellular loop 2 (EL2) that blocked ligand's unbinding, the computational model showed r = 0.84 for kinetic data and improved performance for thermodynamic data (r = 0.81, mue = 0.56 kcal mol-1). Overall, after refining the multistate AF2 model with physics-based tools, we were able to show a strong correlation between predicted and experimental ligand relative residence times and affinities, achieving a level of accuracy comparable to an experimental structure. The computational workflow used can be applied to other receptors, helping to rank candidate drugs in a congeneric series and enabling the prioritization of leads with stronger binding affinities and longer residence times.
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Affiliation(s)
- Margarita Stampelou
- Laboratory of Medicinal Chemistry, Section of Pharmaceutical Chemistry, Department of Pharmacy, School of Health Sciences, National and Kapodistrian University of Athens, Panepistimiopolis-Zografou, 15771 Athens, Greece
| | - Graham Ladds
- Department of Pharmacology, University of Cambridge, Tennis Court Road, Cambridge CB2 1PD, U.K
| | - Antonios Kolocouris
- Laboratory of Medicinal Chemistry, Section of Pharmaceutical Chemistry, Department of Pharmacy, School of Health Sciences, National and Kapodistrian University of Athens, Panepistimiopolis-Zografou, 15771 Athens, Greece
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15
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Luchinat E, Barbieri L, Davis B, Brough PA, Pennestri M, Banci L. Ligand-Based Competition Binding by Real-Time 19F NMR in Human Cells. J Med Chem 2024; 67:1115-1126. [PMID: 38215028 PMCID: PMC10823471 DOI: 10.1021/acs.jmedchem.3c01600] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Revised: 12/17/2023] [Accepted: 12/26/2023] [Indexed: 01/14/2024]
Abstract
The development of more effective drugs requires knowledge of their bioavailability and binding efficacy directly in the native cellular environment. In-cell nuclear magnetic resonance (NMR) spectroscopy is a powerful tool for investigating ligand-target interactions directly in living cells. However, the target molecule may be NMR-invisible due to interactions with cellular components, while observing the ligand by 1H NMR is impractical due to the cellular background. Such limitations can be overcome by observing fluorinated ligands by 19F in-cell NMR as they bind to the intracellular target. Here we report a novel approach based on real-time in-cell 19F NMR that allows measuring ligand binding affinities in human cells by competition binding, using a fluorinated compound as a reference. The binding of a set of compounds toward Hsp90α was investigated. In principle, this approach could be applied to other pharmacologically relevant targets, thus aiding the design of more effective compounds in the early stages of drug development.
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Affiliation(s)
- Enrico Luchinat
- Dipartimento
di Scienze e Tecnologie Agro-Alimentari, Alma Mater Studiorum—Università di Bologna, Piazza Goidanich 60, Cesena 47521, Italy
- Consorzio
Interuniversitario Risonanze Magnetiche di Metallo Proteine—CIRMMP, Via Luigi Sacconi 6, Sesto Fiorentino 50019, Italy
| | - Letizia Barbieri
- Consorzio
Interuniversitario Risonanze Magnetiche di Metallo Proteine—CIRMMP, Via Luigi Sacconi 6, Sesto Fiorentino 50019, Italy
| | - Ben Davis
- Vernalis
Research, Granta Park, Great Abington, Cambridge CB21 6GB, U.K.
| | - Paul A. Brough
- Vernalis
Research, Granta Park, Great Abington, Cambridge CB21 6GB, U.K.
| | - Matteo Pennestri
- Pharmaceutical
Business Unit, Bruker UK Limited, Banner Lane, Coventry CV4 9GH, U.K.
| | - Lucia Banci
- Consorzio
Interuniversitario Risonanze Magnetiche di Metallo Proteine—CIRMMP, Via Luigi Sacconi 6, Sesto Fiorentino 50019, Italy
- Centro
di Risonanze Magnetiche—CERM, Università
degli Studi di Firenze, Via Luigi Sacconi 6, Sesto Fiorentino 50019, Italy
- Dipartimento
di Chimica, Università degli Studi
di Firenze, Via della
Lastruccia 3, Sesto Fiorentino 50019, Italy
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16
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Talevi A. Computer-Aided Drug Discovery and Design: Recent Advances and Future Prospects. Methods Mol Biol 2024; 2714:1-20. [PMID: 37676590 DOI: 10.1007/978-1-0716-3441-7_1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/08/2023]
Abstract
Computer-aided drug discovery and design involve the use of information technologies to identify and develop, on a rational ground, chemical compounds that align a set of desired physicochemical and biological properties. In its most common form, it involves the identification and/or modification of an active scaffold (or the combination of known active scaffolds), although de novo drug design from scratch is also possible. Traditionally, the drug discovery and design processes have focused on the molecular determinants of the interactions between drug candidates and their known or intended pharmacological target(s). Nevertheless, in modern times, drug discovery and design are conceived as a particularly complex multiparameter optimization task, due to the complicated, often conflicting, property requirements.This chapter provides an updated overview of in silico approaches for identifying active scaffolds and guiding the subsequent optimization process. Recent groundbreaking advances in the field have also analyzed the integration of state-of-the-art machine learning approaches in every step of the drug discovery process (from prediction of target structure to customized molecular docking scoring functions), integration of multilevel omics data, and the use of a diversity of computational approaches to assist target validation and assess plausible binding pockets.
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Affiliation(s)
- Alan Talevi
- Laboratory of Bioactive Compound Research and Development (LIDeB), Faculty of Exact Sciences, National University of La Plata (UNLP), La Plata, Argentina.
- Argentinean National Council of Scientific and Technical Research (CONICET), La Plata, Argentina.
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17
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Rubina, Moin ST. Attempting Well-Tempered Funnel Metadynamics Simulations for the Evaluation of the Binding Kinetics of Methionine Aminopeptidase-II Inhibitors. J Chem Inf Model 2023; 63:7729-7743. [PMID: 38059911 DOI: 10.1021/acs.jcim.3c01130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/08/2023]
Abstract
Understanding the unbinding kinetics of protein-ligand complexes is considered a significant approach for the design of ligands with desired specificity and safety. In recent years, enhanced sampling methods have emerged as effective tools for studying the unbinding kinetics of protein-ligand complexes at the atomistic level. MetAP-II is a target for the treatment of cancer for which not a single effective drug is available yet. The identification of the dissociation rate of ligands from the complexes often serves as a better predictor for in vivo efficacy than the ligands' binding affinity. Here, funnel-based restraint well-tempered metadynamics simulations were applied to predict the residence time of two ligands bound to MetAP-II, along with the ligand association and dissociation mechanism involving the identification of the binding hotspot during ligand egress. The ligand-egressing route revealed by metadynamics simulations also correlated with the identified pathways from the CAVER analysis and by the enhanced sampling simulation using PLUMED. Ligand 1 formed a strong H-bond interaction with GLU364 estimating a higher residence time of 28.22 ± 5.29 ns in contrast to ligand 2 with a residence time of 19.05 ± 3.58 ns, which easily dissociated from the binding pocket of MetAP-II. The results obtained from the simulations were consistent to reveal ligand 1 being superior to ligand 2; however, the experimental data related to residence time were close for both ligands, and no kinetic data were available for ligand 2. The current study could be considered the first attempt to apply an enhanced sampling method for the evaluation of the binding kinetics and thermodynamics of two different classes of ligands to a binuclear metalloprotein.
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Affiliation(s)
- Rubina
- Third World Center for Science and Technology H.E.J. Research Institute of Chemistry, International Center for Chemical and Biological Science University of Karachi, Karachi 75270, Pakistan
| | - Syed Tarique Moin
- Third World Center for Science and Technology H.E.J. Research Institute of Chemistry, International Center for Chemical and Biological Science University of Karachi, Karachi 75270, Pakistan
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18
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Vögele M, Zhang BW, Kaindl J, Wang L. Is the Functional Response of a Receptor Determined by the Thermodynamics of Ligand Binding? J Chem Theory Comput 2023; 19:8414-8422. [PMID: 37943175 DOI: 10.1021/acs.jctc.3c00899] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2023]
Abstract
For an effective drug, strong binding to the target protein is a prerequisite, but it is not enough. To produce a particular functional response, drugs need to either block the proteins' functions or modulate their activities by changing their conformational equilibrium. The binding free energy of a compound to its target is routinely calculated, but the timescales for the protein conformational changes are prohibitively long to be efficiently modeled via physics-based simulations. Thermodynamic principles suggest that the binding free energies of the ligands with different receptor conformations may infer their efficacy. However, this hypothesis has not been thoroughly validated. We present an actionable protocol and a comprehensive study to show that binding thermodynamics provides a strong predictor of the efficacy of a ligand. We apply the absolute binding free energy perturbation method to ligands bound to active and inactive states of eight G protein-coupled receptors and a nuclear receptor and then compare the resulting binding free energies. We find that carefully designed restraints are often necessary to efficiently model the corresponding conformational ensembles for each state. Our method achieves unprecedented performance in classifying ligands as agonists or antagonists across the various investigated receptors, all of which are important drug targets.
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Affiliation(s)
- Martin Vögele
- Schrödinger, Inc., 1540 Broadway 24th Floor, New York, New York 10036, United States
| | - Bin W Zhang
- Schrödinger, Inc., 1540 Broadway 24th Floor, New York, New York 10036, United States
| | - Jonas Kaindl
- Schrödinger GmbH, Glücksteinallee 25, Mannheim 68163, Germany
| | - Lingle Wang
- Schrödinger, Inc., 1540 Broadway 24th Floor, New York, New York 10036, United States
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19
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Bose S, Lotz SD, Deb I, Shuck M, Lee KSS, Dickson A. How Robust Is the Ligand Binding Transition State? J Am Chem Soc 2023; 145:25318-25331. [PMID: 37943667 PMCID: PMC11059145 DOI: 10.1021/jacs.3c08940] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2023]
Abstract
For many drug targets, it has been shown that the kinetics of drug binding (e.g., on rate and off rate) is more predictive of drug efficacy than thermodynamic quantities alone. This motivates the development of predictive computational models that can be used to optimize compounds on the basis of their kinetics. The structural details underpinning these computational models are found not only in the bound state but also in the short-lived ligand binding transition states. Although transition states cannot be directly observed experimentally due to their extremely short lifetimes, recent successes have demonstrated that modeling the ligand binding transition state is possible with the help of enhanced sampling molecular dynamics methods. Previously, we generated unbinding paths for an inhibitor of soluble epoxide hydrolase (sEH) with a residence time of 11 min. Here, we computationally modeled unbinding events with the weighted ensemble method REVO (resampling of ensembles by variation optimization) for five additional inhibitors of sEH with residence times ranging from 14.25 to 31.75 min, with average prediction accuracy within an order of magnitude. The unbinding ensembles are analyzed in detail, focusing on features of the ligand binding transition state ensembles (TSEs). We find that ligands with similar bound poses can show significant differences in their ligand binding TSEs, in terms of their spatial distribution and protein-ligand interactions. However, we also find similarities across the TSEs when examining more general features such as ligand degrees of freedom. Together these findings show significant challenges for rational, kinetics-based drug design.
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Affiliation(s)
- Samik Bose
- Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, Michigan 48824, United States
| | - Samuel D Lotz
- Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, Michigan 48824, United States
| | - Indrajit Deb
- Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, Michigan 48824, United States
| | - Megan Shuck
- Department of Pharmacology and Toxicology, Michigan State University, East Lansing, Michigan 48824, United States
| | - Kin Sing Stephen Lee
- Department of Pharmacology and Toxicology, Michigan State University, East Lansing, Michigan 48824, United States
- Department of Chemistry, Michigan State University, East Lansing, Michigan 48824, United States
- Institute of Integrative Toxicology, Michigan State University, East Lansing, Michigan 48824, United States
| | - Alex Dickson
- Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, Michigan 48824, United States
- Department of Computational Mathematics, Science and Engineering, Michigan State University, East Lansing, Michigan 48824, United States
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20
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Zhang C, Fang H, Du W, Zhang D, Qu Y, Tang F, Ding A, Huang K, Peng B, Li L, Huang W. Ultrafast Detection of Monoamine Oxidase A in Live Cells and Clinical Glioma Tissues Using an Affinity Binding-Based Two-Photon Fluorogenic Probe. Angew Chem Int Ed Engl 2023; 62:e202310134. [PMID: 37585321 DOI: 10.1002/anie.202310134] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 08/13/2023] [Accepted: 08/15/2023] [Indexed: 08/18/2023]
Abstract
Abnormal expression of monoamine oxidase A (MAO-A) has been implicated in the development of human glioma, making MAO-A a promising target for therapy. Therefore, a rapid determination of MAO-A is critical for diagnosis. Through in silico screening of two-photon fluorophores, we discovered that a derivative of N,N-dimethyl-naphthalenamine (pre-mito) can effectively fit into the entrance of the MAO-A cavity. Substitutions on the N-pyridine not only further explore the MAO-A cavity, but also enable mitochondrial targeting ability. The aminopropyl substituted molecule, CD1, showed the fastest MAO-A detection (within 20 s), high MAO-A affinity and selectivity. It was also used for in situ imaging of MAO-A in living cells, enabling a comparison of the MAO-A content in human glioma and paracancerous tissues. Our results demonstrate that optimizing the affinity binding-based fluorogenic probes significantly improves their detection rate, providing a general approach for rapid detection probe design and optimization.
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Affiliation(s)
- Congcong Zhang
- The Institute of Flexible Electronics (IFE, Future Technologies), Xiamen University, Xiamen, 361005, China
| | - Haixiao Fang
- The Institute of Flexible Electronics (IFE, Future Technologies), Xiamen University, Xiamen, 361005, China
- Future Display Institute in Xiamen, Xiamen, 361005, China
| | - Wei Du
- School of Basic Medical Sciences, Anhui Medical University, Hefei, 230032, China
| | - Duoteng Zhang
- The Institute of Flexible Electronics (IFE, Future Technologies), Xiamen University, Xiamen, 361005, China
| | - Yunwei Qu
- The Institute of Flexible Electronics (IFE, Future Technologies), Xiamen University, Xiamen, 361005, China
| | - Fang Tang
- The Institute of Flexible Electronics (IFE, Future Technologies), Xiamen University, Xiamen, 361005, China
- Future Display Institute in Xiamen, Xiamen, 361005, China
| | - Aixiang Ding
- The Institute of Flexible Electronics (IFE, Future Technologies), Xiamen University, Xiamen, 361005, China
| | - Kai Huang
- Future Display Institute in Xiamen, Xiamen, 361005, China
| | - Bo Peng
- Frontiers Science Center for Flexible Electronics, Xi'an Institute of Flexible Electronics (IFE) and Xi'an Institute of Biomedical Materials & Engineering, Northwestern Polytechnical University, Xi'an, 710072, China
- Wuhan National Laboratory for Optoelectronics - Advanced Biomedical Imaging Facility, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Lin Li
- The Institute of Flexible Electronics (IFE, Future Technologies), Xiamen University, Xiamen, 361005, China
- Future Display Institute in Xiamen, Xiamen, 361005, China
- Frontiers Science Center for Flexible Electronics, Xi'an Institute of Flexible Electronics (IFE) and Xi'an Institute of Biomedical Materials & Engineering, Northwestern Polytechnical University, Xi'an, 710072, China
| | - Wei Huang
- The Institute of Flexible Electronics (IFE, Future Technologies), Xiamen University, Xiamen, 361005, China
- Future Display Institute in Xiamen, Xiamen, 361005, China
- Frontiers Science Center for Flexible Electronics, Xi'an Institute of Flexible Electronics (IFE) and Xi'an Institute of Biomedical Materials & Engineering, Northwestern Polytechnical University, Xi'an, 710072, China
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21
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Asadollahi K, Rajput S, Jameson GNL, Scott DJ, Gooley PR. Encounter Complexes Between the N-terminal of Neurotensin with the Extracellular Loop 2 of the Neurotensin Receptor 1 Steer Neurotensin to the Orthosteric Binding Pocket. J Mol Biol 2023; 435:168244. [PMID: 37625583 DOI: 10.1016/j.jmb.2023.168244] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Revised: 08/08/2023] [Accepted: 08/17/2023] [Indexed: 08/27/2023]
Abstract
Neurotensin (NT) is a linear disordered peptide that activates two different class A GPCRs, neurotensin receptor 1 (NTS1) and NTS2. Resolved structures of the complex of the C-terminal fragment of NT, NT8-13, with NTS1 shows the peptide takes a well-defined structure in the bound state. However, the mechanisms underlying NT recognition of NTS1, and the conformational transition of NT upon binding NTS1 is an open question that if answered may aid discovery of highly selective drugs and reveal potential secondary binding sites on the surface of the receptor. Herein we investigated the interactions guiding NT to the orthosteric binding pocket of NTS1 by combining NMR experiments with kinetic analysis of the binding pathway using stopped-flow fluorescence and mutagenesis on both NT and NTS1. We show the presence of transient structures in the middle part of NT that kinetically regulate the binding of NT to NTS1. Moreover, our results indicate that the binding pathway of NT onto NTS1 is mediated via electrostatic interactions between the N-terminal region of NT with the extracellular loop 2 of NTS1. These interactions induce backbone conformational changes in neurotensin similar to the bound-state neurotensin, suggesting that the N-terminal region of NT and these interactions should be considered for development of selective drugs against NTS1.
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Affiliation(s)
- Kazem Asadollahi
- Department of Biochemistry and Pharmacology, University of Melbourne, Parkville, VIC 3010, Australia; Bio21 Molecular Science and Biotechnology Institute, University of Melbourne, Parkville, VIC 3010, Australia; The Florey, University of Melbourne, Parkville, VIC 3010, Australia. https://twitter.com/@KazemAsadollahi
| | - Sunnia Rajput
- Bio21 Molecular Science and Biotechnology Institute, University of Melbourne, Parkville, VIC 3010, Australia
| | - Guy N L Jameson
- Bio21 Molecular Science and Biotechnology Institute, University of Melbourne, Parkville, VIC 3010, Australia; School of Chemistry, University of Melbourne, Parkville, VIC 3010, Australia
| | - Daniel J Scott
- Department of Biochemistry and Pharmacology, University of Melbourne, Parkville, VIC 3010, Australia; The Florey, University of Melbourne, Parkville, VIC 3010, Australia
| | - Paul R Gooley
- Department of Biochemistry and Pharmacology, University of Melbourne, Parkville, VIC 3010, Australia; Bio21 Molecular Science and Biotechnology Institute, University of Melbourne, Parkville, VIC 3010, Australia.
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22
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Abhishek S, Deeksha W, Nethravathi KR, Davari MD, Rajakumara E. Allosteric crosstalk in modular proteins: Function fine-tuning and drug design. Comput Struct Biotechnol J 2023; 21:5003-5015. [PMID: 37867971 PMCID: PMC10589753 DOI: 10.1016/j.csbj.2023.10.013] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Revised: 10/07/2023] [Accepted: 10/08/2023] [Indexed: 10/24/2023] Open
Abstract
Modular proteins are regulatory proteins that carry out more than one function. These proteins upregulate or downregulate a biochemical cascade to establish homeostasis in cells. To switch the function or alter the efficiency (based on cellular needs), these proteins require different facilitators that bind to a site different from the catalytic (active/orthosteric) site, aka 'allosteric site', and fine-tune their function. These facilitators (or effectors) are allosteric modulators. In this Review, we have discussed the allostery, characterized them based on their mechanisms, and discussed how allostery plays an important role in the activity modulation and function fine-tuning of proteins. Recently there is an emergence in the discovery of allosteric drugs. We have also emphasized the role, significance, and future of allostery in therapeutic applications.
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Affiliation(s)
- Suman Abhishek
- Macromolecular Structural Biology lab, Department of Biotechnology, Indian Institute of Technology Hyderabad, Telangana 502284, India
| | - Waghela Deeksha
- Macromolecular Structural Biology lab, Department of Biotechnology, Indian Institute of Technology Hyderabad, Telangana 502284, India
| | | | - Mehdi D. Davari
- Department of Bioorganic Chemistry, Leibniz Institute of Plant Biochemistry, Halle 06120, Germany
| | - Eerappa Rajakumara
- Macromolecular Structural Biology lab, Department of Biotechnology, Indian Institute of Technology Hyderabad, Telangana 502284, India
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23
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Sharma S, Joshi S, Kalidindi T, Digwal CS, Panchal P, Lee SG, Zanzonico P, Pillarsetty N, Chiosis G. Unraveling the Mechanism of Epichaperome Modulation by Zelavespib: Biochemical Insights on Target Occupancy and Extended Residence Time at the Site of Action. Biomedicines 2023; 11:2599. [PMID: 37892973 PMCID: PMC10604720 DOI: 10.3390/biomedicines11102599] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Revised: 09/15/2023] [Accepted: 09/19/2023] [Indexed: 10/29/2023] Open
Abstract
Drugs with a long residence time at their target sites are often more efficacious in disease treatment. The mechanism, however, behind prolonged retention at the site of action is often difficult to understand for non-covalent agents. In this context, we focus on epichaperome agents, such as zelavespib and icapamespib, which maintain target binding for days despite rapid plasma clearance, minimal retention in non-diseased tissues, and rapid metabolism. They have shown significant therapeutic value in cancer and neurodegenerative diseases by disassembling epichaperomes, which are assemblies of tightly bound chaperones and other factors that serve as scaffolding platforms to pathologically rewire protein-protein interactions. To investigate their impact on epichaperomes in vivo, we conducted pharmacokinetic and target occupancy measurements for zelavespib and monitored epichaperome assemblies biochemically in a mouse model. Our findings provide evidence of the intricate mechanism through which zelavespib modulates epichaperomes in vivo. Initially, zelavespib becomes trapped when epichaperomes bound, a mechanism that results in epichaperome disassembly, with no change in the expression level of epichaperome constituents. We propose that the initial trapping stage of epichaperomes is a main contributing factor to the extended on-target residence time observed for this agent in clinical settings. Zelavespib's residence time in tumors seems to be dictated by target disassembly kinetics rather than by frank drug-target unbinding kinetics. The off-rate of zelavespib from epichaperomes is, therefore, much slower than anticipated from the recorded tumor pharmacokinetic profile or as determined in vitro using diluted systems. This research sheds light on the underlying processes that make epichaperome agents effective in the treatment of certain diseases.
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Affiliation(s)
- Sahil Sharma
- Chemical Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA (S.J.); (C.S.D.); (P.P.)
| | - Suhasini Joshi
- Chemical Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA (S.J.); (C.S.D.); (P.P.)
| | - Teja Kalidindi
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; (T.K.); (S.-G.L.); (P.Z.)
| | - Chander S. Digwal
- Chemical Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA (S.J.); (C.S.D.); (P.P.)
| | - Palak Panchal
- Chemical Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA (S.J.); (C.S.D.); (P.P.)
| | - Sang-Gyu Lee
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; (T.K.); (S.-G.L.); (P.Z.)
| | - Pat Zanzonico
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; (T.K.); (S.-G.L.); (P.Z.)
| | - Nagavarakishore Pillarsetty
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; (T.K.); (S.-G.L.); (P.Z.)
| | - Gabriela Chiosis
- Chemical Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA (S.J.); (C.S.D.); (P.P.)
- Breast Cancer Medicine Service, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
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24
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Li Q, Deng X, Xu YJ, Dong L. Development of Long-Acting Dipeptidyl Peptidase-4 Inhibitors: Structural Evolution and Long-Acting Determinants. J Med Chem 2023; 66:11593-11631. [PMID: 37647598 DOI: 10.1021/acs.jmedchem.3c00412] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/01/2023]
Abstract
Considerable effort has been made to achieve less frequent dosing in the development of DPP-4 inhibitors. Enthusiasm for long-acting DPP-4 inhibitors is based on the promise that such agents with less frequent dosing regimens are associated with improved patient adherence, but the rational design of long-acting DPP-4 inhibitors remains a major challenge. In this Perspective, the development of long-acting DPP-4 inhibitors is comprehensively summarized to highlight the evolution of initial lead compounds on the path toward developing long-acting DPP-4 inhibitors over nearly three decades. The determinants for long duration of action are then examined, including the nature of the target, potency, binding kinetics, crystal structures, selectivity, and preclinical and clinical pharmacokinetic and pharmacodynamic profiles. More importantly, several possible approaches for the rational design of long-acting drugs are discussed. We hope that this information will facilitate the design and development of safer and more effective long-acting DPP-4 inhibitors and other oral drugs.
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Affiliation(s)
- Qing Li
- College of Chemistry and Materials Science, Sichuan Normal University, Chengdu 610068, China
| | - Xiaoyan Deng
- College of Chemistry and Materials Science, Sichuan Normal University, Chengdu 610068, China
| | - Yan-Jun Xu
- College of Chemistry and Materials Science, Sichuan Normal University, Chengdu 610068, China
| | - Lin Dong
- West China School of Pharmacy, Sichuan University, Chengdu 610041, China
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25
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Liu H, Zhang H, IJzerman AP, Guo D. The translational value of ligand-receptor binding kinetics in drug discovery. Br J Pharmacol 2023. [PMID: 37705429 DOI: 10.1111/bph.16241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Revised: 07/27/2023] [Accepted: 09/01/2023] [Indexed: 09/15/2023] Open
Abstract
The translation of in vitro potency of a candidate drug, as determined by traditional pharmacology metrics (such as EC50 /IC50 and KD /Ki values), to in vivo efficacy and safety is challenging. Residence time, which represents the duration of drug-target interaction, can be part of a more comprehensive understanding of the dynamic nature of drug-target interactions in vivo, thereby enabling better prediction of drug efficacy and safety. As a consequence, a prolonged residence time may help in achieving sustained pharmacological activity, while transient interactions with shorter residence times may be favourable for targets associated with side effects. Therefore, integration of residence time into the early stages of drug discovery and development has yielded a number of clinical candidates with promising in vivo efficacy and safety profiles. Insights from residence time research thus contribute to the translation of in vitro potency to in vivo efficacy and safety. Further research and advances in measuring and optimizing residence time will bring a much-needed addition to the drug discovery process and the development of safer and more effective drugs. In this review, we summarize recent research progress on residence time, highlighting its importance from a translational perspective.
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Affiliation(s)
- Hongli Liu
- Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, Xuzhou Medical University, Xuzhou, China
| | - Haoran Zhang
- Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, Xuzhou Medical University, Xuzhou, China
| | - Adriaan P IJzerman
- Division of Drug Discovery and Safety, Leiden Academic Centre for Drug Research (LACDR), Leiden University, Leiden, The Netherlands
| | - Dong Guo
- Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, Xuzhou Medical University, Xuzhou, China
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26
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Srinivasan B. Non-equilibrium modalities of inhibition: Characterizing irreversible inhibition for the ErbB receptor family members. Methods Enzymol 2023; 690:85-108. [PMID: 37858541 DOI: 10.1016/bs.mie.2023.08.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2023]
Abstract
Most drug target interactions for clinically approved small-molecules are non-equilibrium slow-onset, tight-binding or irreversible in nature, with pronounced element of time-dependence of inhibition. Analysis of such modality of inhibition requires a continuous enzyme kinetic measurement that can yield complete progress curves and an automated high-throughput analysis pipeline. Given the increasing emphasis on designing non-equilibrium modes of inhibiting an enzyme target (especially irreversible), the above specified pipeline for data generation and analysis is essential for extracting parameters to guide decisions in early drug discovery. In this manuscript, the methodology and data analysis protocol from our irreversible inhibitor characterization campaigns for the ErbB receptor family members is presented. Guidance is provided on the appropriate design of assay to generate quality data, setting up the analysis and estimation of inactivation rate (kinact) and the pseudo-equilibrium binding affinity (KI) constant (or their ratio kinact/KI) in a high-throughput manner for the inhibitor interacting with the protein target of interest.
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Affiliation(s)
- Bharath Srinivasan
- Mechanistic and Structural Biology, Discovery Sciences, R&D, AstraZeneca, Cambridge, United Kingdom.
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27
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Bolhuis PG, Brotzakis ZF, Keller BG. Optimizing molecular potential models by imposing kinetic constraints with path reweighting. J Chem Phys 2023; 159:074102. [PMID: 37581416 DOI: 10.1063/5.0151166] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2023] [Accepted: 06/19/2023] [Indexed: 08/16/2023] Open
Abstract
Empirical force fields employed in molecular dynamics simulations of complex systems are often optimized to reproduce experimentally determined structural and thermodynamic properties. In contrast, experimental knowledge about the interconversion rates between metastable states in such systems is hardly ever incorporated in a force field due to a lack of an efficient approach. Here, we introduce such a framework based on the relationship between dynamical observables, such as rate constants, and the underlying molecular model parameters using the statistical mechanics of trajectories. Given a prior ensemble of molecular dynamics trajectories produced with imperfect force field parameters, the approach allows for the optimal adaption of these parameters such that the imposed constraint of equally predicted and experimental rate constant is obeyed. To do so, the method combines the continuum path ensemble maximum caliber approach with path reweighting methods for stochastic dynamics. When multiple solutions are found, the method selects automatically the combination that corresponds to the smallest perturbation of the entire path ensemble, as required by the maximum entropy principle. To show the validity of the approach, we illustrate the method on simple test systems undergoing rare event dynamics. Next to simple 2D potentials, we explore particle models representing molecular isomerization reactions and protein-ligand unbinding. Besides optimal interaction parameters, the methodology gives physical insights into what parts of the model are most sensitive to the kinetics. We discuss the generality and broad implications of the methodology.
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Affiliation(s)
- Peter G Bolhuis
- van 't Hoff Institute for Molecular Sciences, University of Amsterdam, P.O. Box 94157, 1090 GD Amsterdam, The Netherlands
| | - Z Faidon Brotzakis
- Department of Chemistry, University of Cambridge, Cambridge CB2 1EW, United Kingdom
| | - Bettina G Keller
- Department of Biology, Chemistry, Pharmacy, Freie Universität Berlin, Arnimallee 22, D-14195 Berlin, Germany
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28
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Meanwell NA. Sub-stoichiometric Modulation of Viral Targets-Potent Antiviral Agents That Exploit Target Vulnerability. ACS Med Chem Lett 2023; 14:1021-1030. [PMID: 37583823 PMCID: PMC10424314 DOI: 10.1021/acsmedchemlett.3c00279] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Accepted: 06/30/2023] [Indexed: 08/17/2023] Open
Abstract
The modulation of oligomeric viral targets at sub-stoichiometric ratios of drug to target has been advocated for its efficacy and potency, but there are only a limited number of documented examples. In this Viewpoint, we summarize the invention of the HIV-1 maturation inhibitor fipravirimat and discuss the emerging details around the mode of action of this class of drug that reflects inhibition of a protein composed of 1,300-1,600 monomers that interact in a cooperative fashion. Similarly, the HCV NS5A inhibitor daclatasvir has been shown to act in a highly sub-stoichiometric fashion, inhibiting viral replication at concentrations that are ∼23,500 lower than that of the protein target.
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29
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Hartung IV, Rudolph J, Mader MM, Mulder MPC, Workman P. Expanding Chemical Probe Space: Quality Criteria for Covalent and Degrader Probes. J Med Chem 2023; 66:9297-9312. [PMID: 37403870 PMCID: PMC10388296 DOI: 10.1021/acs.jmedchem.3c00550] [Citation(s) in RCA: 19] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Indexed: 07/06/2023]
Abstract
Within druggable target space, new small-molecule modalities, particularly covalent inhibitors and targeted degraders, have expanded the repertoire of medicinal chemists. Molecules with such modes of action have a large potential not only as drugs but also as chemical probes. Criteria have previously been established to describe the potency, selectivity, and properties of small-molecule probes that are qualified to enable the interrogation and validation of drug targets. These definitions have been tailored to reversibly acting modulators but fall short in their applicability to other modalities. While initial guidelines have been proposed, we delineate here a full set of criteria for the characterization of covalent, irreversible inhibitors as well as heterobifunctional degraders ("proteolysis-targeting chimeras", or PROTACs) and molecular glue degraders. We propose modified potency and selectivity criteria compared to those for reversible inhibitors. We discuss their relevance and highlight examples of suitable probe and pathfinder compounds.
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Affiliation(s)
- Ingo V. Hartung
- Medicinal
Chemistry, Global Research & Development, Merck Healthcare KGaA, 64293 Darmstadt, Germany
| | - Joachim Rudolph
- Discovery
Chemistry, Genentech, South San Francisco, California 94080, United States
| | - Mary M. Mader
- Molecular
Innovation, Indiana Biosciences Research
Institute, Indianapolis, Indiana 64202, United States
| | - Monique P. C. Mulder
- Department
of Cell and Chemical Biology, Leiden University
Medical Center, 2333 ZA Leiden, The Netherlands
| | - Paul Workman
- Centre
for Cancer Drug Discovery, The Institute
of Cancer Research, London, Sutton SM2 5NG, United Kingdom
- Chemical
Probes Portal, https://www.chemicalprobes.org/
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30
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Buaben AO, Pelis RM. Incubation Time Influences Organic Anion Transporter 1 Kinetics and Renal Clearance Predictions. J Xenobiot 2023; 13:205-217. [PMID: 37218810 DOI: 10.3390/jox13020016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 04/24/2023] [Accepted: 04/30/2023] [Indexed: 05/24/2023] Open
Abstract
Accurate predictions of drug uptake transporter involvement in renal excretion of xenobiotics require determination of in vitro transport kinetic parameters under initial-rate conditions. The purpose of the present study was to determine how changing the incubation time from initial rate to steady state influences ligand interactions with the renal organic anion transporter 1 (OAT1), and the impact of the different experimental conditions on pharmacokinetic predictions. Transport studies were performed with Chinese hamster ovary cells expressing OAT1 (CHO-OAT1) and the Simcyp Simulator was used for physiological-based pharmacokinetic predictions. Maximal transport rate and intrinsic uptake clearance (CLint) for PAH decreased with increasing incubation time. The CLint values ranged 11-fold with incubation times spanning from 15 s (CLint,15s, initial rate) to 45 min (CLint,45min, steady state). The Michaelis constant (Km) was also influenced by the incubation time with an apparent increase in the Km value at longer incubation times. Inhibition potency of five drugs against PAH transport was tested using incubation times of either 15 s or 10 min. There was no effect of time on inhibition potency for omeprazole or furosemide, whereas indomethacin was less potent, and probenecid (~2-fold) and telmisartan (~7-fold) more potent with the longer incubation time. Notably, the inhibitory effect of telmisartan was reversible, albeit slowly. A pharmacokinetic model was developed for PAH using the CLint,15s value. The simulated plasma concentration-time profile, renal clearance, and cumulative urinary excretion-time profile of PAH agreed well with reported clinical data, and the PK parameters were sensitive to the time-associated CLint value used in the model.
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Affiliation(s)
- Aaron O Buaben
- Department of Pharmacology, Dalhousie University, Halifax, NS B3H 4R2, Canada
| | - Ryan M Pelis
- Drug Disposition, Pharmacokinetic Sciences, Novartis Institutes for Biomedical Research, Cambridge, MA 02139, USA
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31
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Ojha AA, Srivastava A, Votapka LW, Amaro RE. Selectivity and Ranking of Tight-Binding JAK-STAT Inhibitors Using Markovian Milestoning with Voronoi Tessellations. J Chem Inf Model 2023; 63:2469-2482. [PMID: 37023323 PMCID: PMC10131228 DOI: 10.1021/acs.jcim.2c01589] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/08/2023]
Abstract
Janus kinases (JAK), a group of proteins in the nonreceptor tyrosine kinase (NRTKs) family, play a crucial role in growth, survival, and angiogenesis. They are activated by cytokines through the Janus kinase-signal transducer and activator of a transcription (JAK-STAT) signaling pathway. JAK-STAT signaling pathways have significant roles in the regulation of cell division, apoptosis, and immunity. Identification of the V617F mutation in the Janus homology 2 (JH2) domain of JAK2 leading to myeloproliferative disorders has stimulated great interest in the drug discovery community to develop JAK2-specific inhibitors. However, such inhibitors should be selective toward JAK2 over other JAKs and display an extended residence time. Recently, novel JAK2/STAT5 axis inhibitors (N-(1H-pyrazol-3-yl)pyrimidin-2-amino derivatives) have displayed extended residence times (hours or longer) on target and adequate selectivity excluding JAK3. To facilitate a deeper understanding of the kinase-inhibitor interactions and advance the development of such inhibitors, we utilize a multiscale Markovian milestoning with Voronoi tessellations (MMVT) approach within the Simulation-Enabled Estimation of Kinetic Rates v.2 (SEEKR2) program to rank order these inhibitors based on their kinetic properties and further explain the selectivity of JAK2 inhibitors over JAK3. Our approach investigates the kinetic and thermodynamic properties of JAK-inhibitor complexes in a user-friendly, fast, efficient, and accurate manner compared to other brute force and hybrid-enhanced sampling approaches.
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Affiliation(s)
- Anupam Anand Ojha
- Department of Chemistry and Biochemistry, University of California San Diego, La Jolla, California 92093, United States
| | - Ambuj Srivastava
- Department of Chemistry and Biochemistry, University of California San Diego, La Jolla, California 92093, United States
| | - Lane William Votapka
- Department of Chemistry and Biochemistry, University of California San Diego, La Jolla, California 92093, United States
| | - Rommie E Amaro
- Department of Chemistry and Biochemistry, University of California San Diego, La Jolla, California 92093, United States
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32
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Wu X, Clarke WR, Koplinski CA, Peterson FC, Dwinell MB, Wei G, Chao E, Huynh M, Yamada D, Volkman BF, Hwang ST. A modified ELISA assay differentiates CCL20 locked dimers from wild-type monomers. J Immunol Methods 2023; 515:113453. [PMID: 36863695 PMCID: PMC10715733 DOI: 10.1016/j.jim.2023.113453] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 02/22/2023] [Accepted: 02/24/2023] [Indexed: 03/04/2023]
Abstract
A novel engineered CCL20 locked dimer (CCL20LD) is nearly identical to the naturally occurring chemokine CCL20 but blocks CCR6-mediated chemotaxis and offers a new approach to treat the diseases of psoriasis and psoriatic arthritis. Methods for quantifying CCL20LD serum levels are needed to assess pharmacokinetics parameters and evaluate drug delivery, metabolism, and toxicity. Existing ELISA kits fail to discriminate between CCL20LD and the natural chemokine, CCL20WT (the wild type monomer). Herein, we tested several available CCL20 monoclonal antibodies to be able to identify one clone that can be used both as a capture and a detection antibody (with biotin-labeling) to specifically detect CCL20LD with high specificity. After validation using recombinant proteins, the CCL20LD-selective ELISA was used to analyze blood samples from CCL20LD treated mice, demonstrating the utility of this novel assay for preclinical development of a biopharmaceutical lead compound for psoriatic disease.
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Affiliation(s)
- Xuesong Wu
- Department of Dermatology, University of California, Davis, Sacramento, CA, USA
| | - William R Clarke
- XLock Biosciences, LLC, West Allis, WI, USA; Boston Children's Hospital, Boston, MA, USA
| | - Chad A Koplinski
- Department of Biochemistry, Medical College of Wisconsin, Milwaukee, WI, USA; XLock Biosciences, LLC, West Allis, WI, USA
| | - Francis C Peterson
- Department of Biochemistry, Medical College of Wisconsin, Milwaukee, WI, USA; XLock Biosciences, LLC, West Allis, WI, USA
| | - Michael B Dwinell
- Department of Microbiology and Immunology, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Grace Wei
- USF Health Morsani College of Medicine, Tampa, FL, USA
| | - Ellen Chao
- California Northstate University, College of Medicine, Elk Grove, CA, USA
| | - Mindy Huynh
- Department of Dermatology, University of California, Davis, Sacramento, CA, USA
| | - Daisuke Yamada
- Department of Dermatology, University of California, Davis, Sacramento, CA, USA
| | - Brian F Volkman
- Department of Biochemistry, Medical College of Wisconsin, Milwaukee, WI, USA; XLock Biosciences, LLC, West Allis, WI, USA
| | - Samuel T Hwang
- Department of Dermatology, University of California, Davis, Sacramento, CA, USA.
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33
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Hirlekar BU, Nuthi A, Singh KD, Murty US, Dixit VA. An overview of compound properties, multiparameter optimization, and computational drug design methods for PARP-1 inhibitor drugs. Eur J Med Chem 2023; 252:115300. [PMID: 36989813 DOI: 10.1016/j.ejmech.2023.115300] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Revised: 03/14/2023] [Accepted: 03/17/2023] [Indexed: 03/29/2023]
Abstract
Breast cancer treatment with PARP-1 inhibitors remains challenging due to emerging toxicities, drug resistance, and unaffordable costs of treatment options. How do we invent strategies to design better anti-cancer drugs? A part of the answer is in optimized compound properties, desirability functions, and modern computational drug design methods that drive selectivity and toxicity and have not been reviewed for PARP-1 inhibitors. Nonetheless, comparisons of these compound properties for PARP-1 inhibitors are not available in the literature. In this review, we analyze the physchem, PKPD space to identify inherent desirability functions characteristic of approved drugs that can be valuable for the design of better candidates. Recent literature utilizing ligand, structure-based drug design strategies and matched molecular pair analysis (MMPA) for the discovery of novel PARP-1 inhibitors are also reviewed. Thus, this perspective provides valuable insights into the medchem and multiparameter optimization of PARP-1 inhibitors that might be useful to other medicinal chemists.
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34
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Wang J, Do HN, Koirala K, Miao Y. Predicting Biomolecular Binding Kinetics: A Review. J Chem Theory Comput 2023; 19:2135-2148. [PMID: 36989090 DOI: 10.1021/acs.jctc.2c01085] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/30/2023]
Abstract
Biomolecular binding kinetics including the association (kon) and dissociation (koff) rates are critical parameters for therapeutic design of small-molecule drugs, peptides, and antibodies. Notably, the drug molecule residence time or dissociation rate has been shown to correlate with their efficacies better than binding affinities. A wide range of modeling approaches including quantitative structure-kinetic relationship models, Molecular Dynamics simulations, enhanced sampling, and Machine Learning has been developed to explore biomolecular binding and dissociation mechanisms and predict binding kinetic rates. Here, we review recent advances in computational modeling of biomolecular binding kinetics, with an outlook for future improvements.
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Affiliation(s)
- Jinan Wang
- Center for Computational Biology and Department of Molecular Biosciences, University of Kansas, Lawrence, Kansas 66047, United States
| | - Hung N Do
- Center for Computational Biology and Department of Molecular Biosciences, University of Kansas, Lawrence, Kansas 66047, United States
| | - Kushal Koirala
- Center for Computational Biology and Department of Molecular Biosciences, University of Kansas, Lawrence, Kansas 66047, United States
| | - Yinglong Miao
- Center for Computational Biology and Department of Molecular Biosciences, University of Kansas, Lawrence, Kansas 66047, United States
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35
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van den Bor J, Bergkamp ND, Anbuhl SM, Dekker F, Comez D, Perez Almeria CV, Bosma R, White CW, Kilpatrick LE, Hill SJ, Siderius M, Smit MJ, Heukers R. NanoB 2 to monitor interactions of ligands with membrane proteins by combining nanobodies and NanoBRET. CELL REPORTS METHODS 2023; 3:100422. [PMID: 37056381 PMCID: PMC10088090 DOI: 10.1016/j.crmeth.2023.100422] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 01/31/2023] [Accepted: 02/17/2023] [Indexed: 03/14/2023]
Abstract
The therapeutic potential of ligands targeting disease-associated membrane proteins is predicted by ligand-receptor binding constants, which can be determined using NanoLuciferase (NanoLuc)-based bioluminescence resonance energy transfer (NanoBRET) methods. However, the broad applicability of these methods is hampered by the restricted availability of fluorescent probes. We describe the use of antibody fragments, like nanobodies, as universal building blocks for fluorescent probes for use in NanoBRET. Our nanobody-NanoBRET (NanoB2) workflow starts with the generation of NanoLuc-tagged receptors and fluorescent nanobodies, enabling homogeneous, real-time monitoring of nanobody-receptor binding. Moreover, NanoB2 facilitates the assessment of receptor binding of unlabeled ligands in competition binding experiments. The broad significance is illustrated by the successful application of NanoB2 to different drug targets (e.g., multiple G protein-coupled receptors [GPCRs] and a receptor tyrosine kinase [RTK]) at distinct therapeutically relevant binding sites (i.e., extracellular and intracellular).
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Affiliation(s)
- Jelle van den Bor
- Receptor Biochemistry and Signaling group, Division of Medicinal Chemistry, Amsterdam Institute for Molecular and Life Science (AIMMS), Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Nick D. Bergkamp
- Receptor Biochemistry and Signaling group, Division of Medicinal Chemistry, Amsterdam Institute for Molecular and Life Science (AIMMS), Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Stephanie M. Anbuhl
- Receptor Biochemistry and Signaling group, Division of Medicinal Chemistry, Amsterdam Institute for Molecular and Life Science (AIMMS), Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- QVQ Holding B.V., Utrecht, the Netherlands
| | - Françoise Dekker
- Receptor Biochemistry and Signaling group, Division of Medicinal Chemistry, Amsterdam Institute for Molecular and Life Science (AIMMS), Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Dehan Comez
- Cell Signalling Research Group, Division of Physiology, Pharmacology and Neuroscience, School of Life Sciences, University of Nottingham, Nottingham, UK
- Centre of Membrane Proteins and Receptors (COMPARE), University of Birmingham and University of Nottingham, the Midlands, UK
| | - Claudia V. Perez Almeria
- Receptor Biochemistry and Signaling group, Division of Medicinal Chemistry, Amsterdam Institute for Molecular and Life Science (AIMMS), Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Reggie Bosma
- Receptor Biochemistry and Signaling group, Division of Medicinal Chemistry, Amsterdam Institute for Molecular and Life Science (AIMMS), Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Carl W. White
- Cell Signalling Research Group, Division of Physiology, Pharmacology and Neuroscience, School of Life Sciences, University of Nottingham, Nottingham, UK
- Centre of Membrane Proteins and Receptors (COMPARE), University of Birmingham and University of Nottingham, the Midlands, UK
| | - Laura E. Kilpatrick
- Centre of Membrane Proteins and Receptors (COMPARE), University of Birmingham and University of Nottingham, the Midlands, UK
- Division of Bimolecular Science and Medicinal Chemistry, School of Pharmacy, Biodiscovery Institute, University of Nottingham, Nottingham, UK
| | - Stephen J. Hill
- Cell Signalling Research Group, Division of Physiology, Pharmacology and Neuroscience, School of Life Sciences, University of Nottingham, Nottingham, UK
- Centre of Membrane Proteins and Receptors (COMPARE), University of Birmingham and University of Nottingham, the Midlands, UK
| | - Marco Siderius
- Receptor Biochemistry and Signaling group, Division of Medicinal Chemistry, Amsterdam Institute for Molecular and Life Science (AIMMS), Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Martine J. Smit
- Receptor Biochemistry and Signaling group, Division of Medicinal Chemistry, Amsterdam Institute for Molecular and Life Science (AIMMS), Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Raimond Heukers
- Receptor Biochemistry and Signaling group, Division of Medicinal Chemistry, Amsterdam Institute for Molecular and Life Science (AIMMS), Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- QVQ Holding B.V., Utrecht, the Netherlands
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36
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Dutta P, Sengupta N. Efficient Interrogation of the Kinetic Barriers Demarcating Catalytic States of a Tyrosine Kinase with Optimal Physical Descriptors and Mixture Models. Chemphyschem 2023; 24:e202200595. [PMID: 36394126 DOI: 10.1002/cphc.202200595] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Revised: 11/16/2022] [Accepted: 11/16/2022] [Indexed: 11/18/2022]
Abstract
Computer simulations are increasingly used to access thermo-kinetic information underlying structural transformation of protein kinases. Such information are necessary to probe their roles in disease progression and interactions with drug targets. However, the investigations are frequently challenged by forbiddingly high computational expense, and by the lack of standard protocols for the design of low dimensional physical descriptors that encode system features important for transitions. Here, we consider the demarcating characteristics of the different states of Abelson tyrosine kinase associated with distinct catalytic activity to construct a set of physically meaningful, orthogonal collective variables that preserve the slow modes of the system. Independent sampling of each metastable state is followed by the estimation of global partition function along the appropriate physical descriptors using the modified Expectation Maximized Molecular Dynamics method. The resultant free energy barriers are in excellent agreement with experimentally known rate-limiting dynamics and activation energy computed with conventional enhanced sampling methods. We discuss possible directions for further development and applications.
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Affiliation(s)
- Pallab Dutta
- Department of Biological Sciences, Indian Institute of Science Education and Research (IISER) Kolkata, Mohanpur, 741246, India
| | - Neelanjana Sengupta
- Department of Biological Sciences, Indian Institute of Science Education and Research (IISER) Kolkata, Mohanpur, 741246, India
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37
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Li K, Wang M, Akoglu M, Pollard AC, Klecker JB, Alfonso P, Corrionero A, Prendiville N, Qu W, Parker MFL, Turkman N, Cohen JA, Tonge PJ. Synthesis and Preclinical Evaluation of a Novel Fluorine-18-Labeled Tracer for Positron Emission Tomography Imaging of Bruton's Tyrosine Kinase. ACS Pharmacol Transl Sci 2023; 6:410-421. [PMID: 36926452 PMCID: PMC10012250 DOI: 10.1021/acsptsci.2c00215] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2022] [Indexed: 02/12/2023]
Abstract
Bruton's tyrosine kinase (BTK) is a target for treating B-cell malignancies and autoimmune diseases. To aid in the discovery and development of BTK inhibitors and improve clinical diagnoses, we have developed a positron emission tomography (PET) radiotracer based on a selective BTK inhibitor, remibrutinib. [18F]PTBTK3 is an aromatic, 18F-labeled tracer that was synthesized in 3 steps with a 14.8 ± 2.4% decay-corrected radiochemical yield and ≥99% radiochemical purity. The cellular uptake of [18F]PTBTK3 was blocked up to 97% in JeKo-1 cells using remibrutinib or non-radioactive PTBTK3. [18F]PTBTK3 exhibited renal and hepatobiliary clearance in NOD SCID (non-obese diabetic/severe combined immunodeficiency) mice, and the tumor uptake of [18F]PTBTK3 in BTK-positive JeKo-1 xenografts (1.23 ± 0.30% ID/cc) was significantly greater at 60 min post injection compared to the tumor uptake in BTK-negative U87MG xenografts (0.41 ± 0.11% ID/cc). In the JeKo-1 xenografts, tumor uptake was blocked up to 62% by remibrutinib, indicating the BTK-dependent uptake of [18F]PTBTK3 in tumors.
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Affiliation(s)
- Kaixuan Li
- Center
for Advanced Study of Drug Action and Department of Chemistry, Stony Brook University, John S. Toll Drive, Stony
Brook, New York 11794-3400, United States
| | - Mingqian Wang
- Center
for Advanced Study of Drug Action and Department of Chemistry, Stony Brook University, John S. Toll Drive, Stony
Brook, New York 11794-3400, United States
| | - Melike Akoglu
- Center
for Advanced Study of Drug Action and Department of Chemistry, Stony Brook University, John S. Toll Drive, Stony
Brook, New York 11794-3400, United States
| | - Alyssa C. Pollard
- Center
for Advanced Study of Drug Action and Department of Chemistry, Stony Brook University, John S. Toll Drive, Stony
Brook, New York 11794-3400, United States
| | - John B. Klecker
- Center
for Advanced Study of Drug Action and Department of Chemistry, Stony Brook University, John S. Toll Drive, Stony
Brook, New York 11794-3400, United States
| | - Patricia Alfonso
- Enzymlogic
S.L., QUBE Technology
Park, C/Santiago Grisolía, 2, 28760 Madrid, Spain
| | - Ana Corrionero
- Enzymlogic
S.L., QUBE Technology
Park, C/Santiago Grisolía, 2, 28760 Madrid, Spain
| | - Niall Prendiville
- Enzymlogic
S.L., QUBE Technology
Park, C/Santiago Grisolía, 2, 28760 Madrid, Spain
| | - Wenchao Qu
- Center
for Advanced Study of Drug Action and Department of Chemistry, Stony Brook University, John S. Toll Drive, Stony
Brook, New York 11794-3400, United States
- Department
of Psychiatry, Department of Radiology, Department of Medicine, Stony Brook Cancer
Center, and Facility of Experimental Radiopharmaceutical Manufacturing (FERM), Stony Brook Renaissance School of Medicine, Stony
Brook University, Stony
Brook, New York 11794, United States
| | - Matthew F. L. Parker
- Center
for Advanced Study of Drug Action and Department of Chemistry, Stony Brook University, John S. Toll Drive, Stony
Brook, New York 11794-3400, United States
- Department
of Psychiatry, Department of Radiology, Department of Medicine, Stony Brook Cancer
Center, and Facility of Experimental Radiopharmaceutical Manufacturing (FERM), Stony Brook Renaissance School of Medicine, Stony
Brook University, Stony
Brook, New York 11794, United States
| | - Nashaat Turkman
- Department
of Psychiatry, Department of Radiology, Department of Medicine, Stony Brook Cancer
Center, and Facility of Experimental Radiopharmaceutical Manufacturing (FERM), Stony Brook Renaissance School of Medicine, Stony
Brook University, Stony
Brook, New York 11794, United States
| | - Jules A. Cohen
- Department
of Psychiatry, Department of Radiology, Department of Medicine, Stony Brook Cancer
Center, and Facility of Experimental Radiopharmaceutical Manufacturing (FERM), Stony Brook Renaissance School of Medicine, Stony
Brook University, Stony
Brook, New York 11794, United States
| | - Peter J. Tonge
- Center
for Advanced Study of Drug Action and Department of Chemistry, Stony Brook University, John S. Toll Drive, Stony
Brook, New York 11794-3400, United States
- Department
of Psychiatry, Department of Radiology, Department of Medicine, Stony Brook Cancer
Center, and Facility of Experimental Radiopharmaceutical Manufacturing (FERM), Stony Brook Renaissance School of Medicine, Stony
Brook University, Stony
Brook, New York 11794, United States
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38
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Cao X, Wang P, Zhao W, Yuan H, Hu H, Chen T, Zhang Y, Ren Y, Su L, Fu K, Liu H, Guo D. Structure-Affinity and Structure-Kinetic Relationship Studies of Benzodiazepine Derivatives for the Development of Efficacious Vasopressin V 2 Receptor Antagonists. J Med Chem 2023; 66:3621-3634. [PMID: 36732931 DOI: 10.1021/acs.jmedchem.3c00015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
Vasopressin V2 receptors (V2R) are a promising drug target for autosomal dominant polycystic kidney disease (ADPKD). As previous research demonstrated that the residence time of V2R antagonists is critical to their efficacy in both ex vivo and in vivo models of ADPKD, we performed extensive structure-kinetic relationship (SKR) analyses on a series of benzodiazepine derivatives. We found that subtle structural modifications of the benzodiazepine derivatives dramatically changed their binding kinetics but not their affinity. Compound 18 exhibited a residence time of 77 min, which was 7.7-fold longer than that of the reference compound tolvaptan (TVP). Accordingly, compound 18 exhibited higher efficacy compared to TVP in an in vivo model of ADPKD. Overall, our study exemplifies a kinetics-directed medicinal chemistry effort for the development of efficacious V2R antagonists. We envision that this strategy may also have general applicability in other therapeutic areas.
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Affiliation(s)
- Xudong Cao
- Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, Xuzhou Medical University, 209 Tongshan Road, Xuzhou, Jiangsu221004, China
| | - Peng Wang
- Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, Xuzhou Medical University, 209 Tongshan Road, Xuzhou, Jiangsu221004, China
| | - Wenchao Zhao
- Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, Xuzhou Medical University, 209 Tongshan Road, Xuzhou, Jiangsu221004, China
| | - Haoxing Yuan
- Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, Xuzhou Medical University, 209 Tongshan Road, Xuzhou, Jiangsu221004, China
| | - Hongtao Hu
- Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, Xuzhou Medical University, 209 Tongshan Road, Xuzhou, Jiangsu221004, China
| | - Ting Chen
- Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, Xuzhou Medical University, 209 Tongshan Road, Xuzhou, Jiangsu221004, China
| | - Yixiao Zhang
- Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, Xuzhou Medical University, 209 Tongshan Road, Xuzhou, Jiangsu221004, China
| | - Ying Ren
- Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, Xuzhou Medical University, 209 Tongshan Road, Xuzhou, Jiangsu221004, China
| | - Limin Su
- Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, Xuzhou Medical University, 209 Tongshan Road, Xuzhou, Jiangsu221004, China
| | - Kequan Fu
- Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, Xuzhou Medical University, 209 Tongshan Road, Xuzhou, Jiangsu221004, China
| | - Hongli Liu
- Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, Xuzhou Medical University, 209 Tongshan Road, Xuzhou, Jiangsu221004, China
| | - Dong Guo
- Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, Xuzhou Medical University, 209 Tongshan Road, Xuzhou, Jiangsu221004, China
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39
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Le D, Akiyama T, Weiss D, Kim M. Dissociation kinetics of small-molecule inhibitors in Escherichia coli is coupled to physiological state of cells. Commun Biol 2023; 6:223. [PMID: 36841892 PMCID: PMC9968327 DOI: 10.1038/s42003-023-04604-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Accepted: 02/16/2023] [Indexed: 02/27/2023] Open
Abstract
Bioactive small-molecule inhibitors represent a treasure chest for future drugs. In vitro high-throughput screening is a common approach to identify the small-molecule inhibitors that bind tightly to purified targets. Here, we investigate the inhibitor-target binding/unbinding kinetics in E. coli cells using a benzimidazole-derivative DNA inhibitor as a model system. We find that its unbinding rate is not constant but depends on cell growth rate. This dependence is mediated by the cellular activity, forming a feedback loop with the inhibitor's activity. In accordance with this feedback, we find cell-to-cell heterogeneity in inhibitor-target interaction, leading to co-existence of two distinct subpopulations: actively growing cells that dissociate the inhibitors from the targets and non-growing cells that do not. We find similar heterogeneity for other clinical DNA inhibitors. Our studies reveal a mechanism that couples inhibitor-target kinetics to cell physiology and demonstrate the significant effect of this coupling on drug efficacy.
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Affiliation(s)
- Dai Le
- Department of Physics, Emory University, Atlanta, GA, 30322, USA
- Graduate Division of Biological and Biomedical Sciences, Emory University, Atlanta, GA, 30322, USA
| | - Tatsuya Akiyama
- Department of Physics, Emory University, Atlanta, GA, 30322, USA
- Graduate Division of Biological and Biomedical Sciences, Emory University, Atlanta, GA, 30322, USA
| | - David Weiss
- Graduate Division of Biological and Biomedical Sciences, Emory University, Atlanta, GA, 30322, USA
- Division of Infectious Diseases, Department of Medicine, Emory University, Atlanta, GA, 30322, USA
- Antibiotic Research Center, Emory University, Atlanta, GA, 30322, USA
| | - Minsu Kim
- Department of Physics, Emory University, Atlanta, GA, 30322, USA.
- Graduate Division of Biological and Biomedical Sciences, Emory University, Atlanta, GA, 30322, USA.
- Antibiotic Research Center, Emory University, Atlanta, GA, 30322, USA.
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40
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Li X, Yang W, Chen H, Pan F, Liu W, Qi D, Yu S, Liu H, Chai X, Liu Y, Pan Y, Wang G. Rapid screening and in vivo target occupancy quantitative evaluation of xanthine oxidase inhibitors based on drug-target binding kinetics research strategy: A case study of Chrysanthemum morifolium Ramat. Biomed Pharmacother 2023; 161:114379. [PMID: 36827711 DOI: 10.1016/j.biopha.2023.114379] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 01/26/2023] [Accepted: 02/05/2023] [Indexed: 02/24/2023] Open
Abstract
Chrysanthemum morifolium Ramat. is a kind of food and drug dual-use traditional Chinese medicine possessing multiple pharmacological and biochemical benefits. In our study, a rapid and high-throughput method based on Surface plasmon resonance (SPR) biosensor technology was developed and verified for screening potential xanthine oxidase (XOD) inhibitors exemplarily in the Chrysanthemum morifolium Ramat. Coupled with ultra-high performance liquid chromatography-electrospray ionization-tandem mass spectrometry (UPLC-ESI-MS), 14 XOD-binders were identified. In the SPR-based biosensor and molecular docking analysis, most compounds exhibited a strong affinity and binding kinetic property (association rate constant, Kon and dissociation rate constant, Koff) for XOD and could be regarded as potential inhibitors. More importantly, to further accurately assess target occupancy of candidate compounds in vivo, a mathematical model was established and verified involving three crucial intrinsic kinetic processes (Pharmacokinetics, Binding kinetic and Target kinetic). Overall, the proposed screening and assessment strategy could be proved an effective theoretical basis for further pharmacodynamic evaluation.
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Affiliation(s)
- Xueyan Li
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102488, China
| | - Wenning Yang
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102488, China
| | - Hongjiao Chen
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102488, China
| | - Fulu Pan
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102488, China
| | - Wei Liu
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102488, China
| | - Dongying Qi
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102488, China
| | - Shuang Yu
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102488, China
| | - Huining Liu
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102488, China
| | - Xiaoyu Chai
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102488, China
| | - Yang Liu
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102488, China.
| | - Yanli Pan
- Institute of Information on Traditional Chinese Medicine China Academy of Chinese Medical Sciences, Beijing 100700, China.
| | - Guopeng Wang
- Zhongcai Health (Beijing) Biological Technology Development Co., Ltd., Beijing 101500, China.
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41
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Ligand Gaussian Accelerated Molecular Dynamics 2 (LiGaMD2): Improved Calculations of Ligand Binding Thermodynamics and Kinetics with Closed Protein Pocket. J Chem Theory Comput 2023; 19:733-745. [PMID: 36706316 DOI: 10.1021/acs.jctc.2c01194] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
Ligand binding thermodynamics and kinetics are critical parameters for drug design. However, it has proven challenging to efficiently predict ligand binding thermodynamics and kinetics from molecular simulations due to limited simulation timescales. Protein dynamics, especially in the ligand binding pocket, often plays an important role in ligand binding. Based on our previously developed Ligand Gaussian accelerated molecular dynamics (LiGaMD), here we present LiGaMD2 in which a selective boost potential was applied to both the ligand and protein residues in the binding pocket to improve sampling of ligand binding and dissociation. To validate the performance of LiGaMD2, the T4 lysozyme (T4L) mutants with open and closed pockets bound by different ligands were chosen as model systems. LiGaMD2 could efficiently capture repetitive ligand dissociation and binding within microsecond simulations of all T4L systems. The obtained ligand binding kinetic rates and free energies agreed well with available experimental values and previous modeling results. Therefore, LiGaMD2 provides an improved approach to sample opening of closed protein pockets for ligand dissociation and binding, thereby allowing for efficient calculations of ligand binding thermodynamics and kinetics.
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42
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Heydari S, Raniolo S, Livi L, Limongelli V. Transferring chemical and energetic knowledge between molecular systems with machine learning. Commun Chem 2023; 6:13. [PMID: 36697971 PMCID: PMC9839695 DOI: 10.1038/s42004-022-00790-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Accepted: 12/07/2022] [Indexed: 01/15/2023] Open
Abstract
Predicting structural and energetic properties of a molecular system is one of the fundamental tasks in molecular simulations, and it has applications in chemistry, biology, and medicine. In the past decade, the advent of machine learning algorithms had an impact on molecular simulations for various tasks, including property prediction of atomistic systems. In this paper, we propose a novel methodology for transferring knowledge obtained from simple molecular systems to a more complex one, endowed with a significantly larger number of atoms and degrees of freedom. In particular, we focus on the classification of high and low free-energy conformations. Our approach relies on utilizing (i) a novel hypergraph representation of molecules, encoding all relevant information for characterizing multi-atom interactions for a given conformation, and (ii) novel message passing and pooling layers for processing and making free-energy predictions on such hypergraph-structured data. Despite the complexity of the problem, our results show a remarkable Area Under the Curve of 0.92 for transfer learning from tri-alanine to the deca-alanine system. Moreover, we show that the same transfer learning approach can also be used in an unsupervised way to group chemically related secondary structures of deca-alanine in clusters having similar free-energy values. Our study represents a proof of concept that reliable transfer learning models for molecular systems can be designed, paving the way to unexplored routes in prediction of structural and energetic properties of biologically relevant systems.
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Affiliation(s)
- Sajjad Heydari
- grid.21613.370000 0004 1936 9609Department of Computer Science, University of Manitoba, Winnipeg, MB R3T 2N2 Canada
| | - Stefano Raniolo
- grid.29078.340000 0001 2203 2861Faculty of Biomedical Sciences, Euler Institute, Università della Svizzera italiana (USI), via G. Buffi 13, CH-6900 Lugano, Switzerland
| | - Lorenzo Livi
- grid.21613.370000 0004 1936 9609Department of Computer Science, University of Manitoba, Winnipeg, MB R3T 2N2 Canada ,grid.8391.30000 0004 1936 8024Department of Computer Science, University of Exeter, Exeter, EX4 4QF UK
| | - Vittorio Limongelli
- grid.29078.340000 0001 2203 2861Faculty of Biomedical Sciences, Euler Institute, Università della Svizzera italiana (USI), via G. Buffi 13, CH-6900 Lugano, Switzerland ,grid.4691.a0000 0001 0790 385XDepartment of Pharmacy, University of Naples “Federico II”, via D. Montesano 49, I-80131 Naples, Italy
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43
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Wernersson S, Birgersson S, Akke M. Cosolvent Dimethyl Sulfoxide Influences Protein-Ligand Binding Kinetics via Solvent Viscosity Effects: Revealing the Success Rate of Complex Formation Following Diffusive Protein-Ligand Encounter. Biochemistry 2023; 62:44-52. [PMID: 36542811 DOI: 10.1021/acs.biochem.2c00507] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Protein-ligand-exchange kinetics determines the duration of biochemical signals and consequently plays an important role in drug design. Binding studies commonly require solubilization of designed ligands in solvents such as dimethyl sulfoxide (DMSO), resulting in residual amounts of DMSO following titration of solubilized ligands into aqueous protein samples. Therefore, it is critical to establish whether DMSO influences protein-ligand binding. Here, we address the general and indirect effect of DMSO on protein-ligand binding caused by solvent viscosity, which is strongly dependent on the relative concentrations of DMSO and water. As a model system, we studied the binding of a drug-like ligand to the carbohydrate recognition domain of galectin-3 in the presence of variable amounts of DMSO. We used isothermal titration calorimetry to characterize binding thermodynamics and 15N NMR relaxation to monitor kinetics. The binding enthalpy is not affected, but we observe a subtle trend of increasingly unfavorable entropy of binding, and consequently decreased affinity, with increasing DMSO concentration. The increasing concentration of DMSO results in a reduced association rate of binding, while the dissociation rate is less affected. The observed association rate is inversely proportional to the viscosity of the DMSO-water mixture, as expected from theory, but significantly reduced from the diffusion-controlled limit. By comparing the viscosity dependence of the observed association rate with that of the theoretical diffusion-controlled association rate, we estimate the success rate of productive complex formation following an initial encounter of proteins and ligands, showing that only one out of several hundred binding "attempts" are successful.
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Affiliation(s)
- Sven Wernersson
- Division of Biophysical Chemistry, Center for Molecular Protein Science, Department of Chemistry, Lund University, P.O. Box 124, SE-221 00Lund, Sweden
| | - Simon Birgersson
- Division of Biophysical Chemistry, Center for Molecular Protein Science, Department of Chemistry, Lund University, P.O. Box 124, SE-221 00Lund, Sweden
| | - Mikael Akke
- Division of Biophysical Chemistry, Center for Molecular Protein Science, Department of Chemistry, Lund University, P.O. Box 124, SE-221 00Lund, Sweden
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44
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Sohraby F, Nunes-Alves A. Advances in computational methods for ligand binding kinetics. Trends Biochem Sci 2022; 48:437-449. [PMID: 36566088 DOI: 10.1016/j.tibs.2022.11.003] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 11/16/2022] [Accepted: 11/29/2022] [Indexed: 12/24/2022]
Abstract
Binding kinetic parameters can be correlated with drug efficacy, which in recent years led to the development of various computational methods for predicting binding kinetic rates and gaining insight into protein-drug binding paths and mechanisms. In this review, we introduce and compare computational methods recently developed and applied to two systems, trypsin-benzamidine and kinase-inhibitor complexes. Methods involving enhanced sampling in molecular dynamics simulations or machine learning can be used not only to predict kinetic rates, but also to reveal factors modulating the duration of residence times, selectivity, and drug resistance to mutations. Methods which require less computational time to make predictions are highlighted, and suggestions to reduce the error of computed kinetic rates are presented.
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Affiliation(s)
- Farzin Sohraby
- Institute of Chemistry, Technische Universität Berlin, 10623 Berlin, Germany
| | - Ariane Nunes-Alves
- Institute of Chemistry, Technische Universität Berlin, 10623 Berlin, Germany.
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45
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Cifone MT, He Y, Basu R, Wang N, Davoodi S, Spagnuolo LA, Si Y, Daryaee T, Stivala CE, Walker SG, Tonge PJ. Heterobivalent Inhibitors of Acetyl-CoA Carboxylase: Drug Target Residence Time and Time-Dependent Antibacterial Activity. J Med Chem 2022; 65:16510-16525. [PMID: 36459397 PMCID: PMC10303036 DOI: 10.1021/acs.jmedchem.2c01380] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/04/2022]
Abstract
The relationship between drug-target residence time and the post-antibiotic effect (PAE) provides insights into target vulnerability. To probe the vulnerability of bacterial acetyl-CoA carboxylase (ACC), a series of heterobivalent inhibitors were synthesized based on pyridopyrimidine 1 and moiramide B (3) which bind to the biotin carboxylase and carboxyltransferase ACC active sites, respectively. The heterobivalent compound 17, which has a linker of 50 Å, was a tight binding inhibitor of Escherichia coli ACC (Kiapp 0.2 nM) and could be displaced from ACC by a combination of both 1 and 3 but not just by 1. In agreement with the prolonged occupancy of ACC resulting from forced proximity binding, the heterobivalent inhibitors produced a PAE in E. coli of 1-4 h in contrast to 1 and 3 in combination or alone, indicating that ACC is a vulnerable target and highlighting the utility of kinetic, time-dependent effects in the drug mechanism of action.
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Affiliation(s)
- Matthew T Cifone
- Center for Advanced Study of Drug Action, Stony Brook University, John S. Toll Drive, Stony Brook, New York 11794-3400, United States
- Department of Chemistry, Stony Brook University, John S. Toll Drive, Stony Brook, New York 11794-3400, United States
| | - YongLe He
- Center for Advanced Study of Drug Action, Stony Brook University, John S. Toll Drive, Stony Brook, New York 11794-3400, United States
- Department of Chemistry, Stony Brook University, John S. Toll Drive, Stony Brook, New York 11794-3400, United States
| | - Rajeswari Basu
- Center for Advanced Study of Drug Action, Stony Brook University, John S. Toll Drive, Stony Brook, New York 11794-3400, United States
- Department of Chemistry, Stony Brook University, John S. Toll Drive, Stony Brook, New York 11794-3400, United States
| | - Nan Wang
- Center for Advanced Study of Drug Action, Stony Brook University, John S. Toll Drive, Stony Brook, New York 11794-3400, United States
| | - Shabnam Davoodi
- Center for Advanced Study of Drug Action, Stony Brook University, John S. Toll Drive, Stony Brook, New York 11794-3400, United States
- Department of Chemistry, Stony Brook University, John S. Toll Drive, Stony Brook, New York 11794-3400, United States
| | - Lauren A Spagnuolo
- Department of Chemistry, Stony Brook University, John S. Toll Drive, Stony Brook, New York 11794-3400, United States
| | - Yuanyuan Si
- Department of Chemistry, Stony Brook University, John S. Toll Drive, Stony Brook, New York 11794-3400, United States
| | - Taraneh Daryaee
- Department of Chemistry, Stony Brook University, John S. Toll Drive, Stony Brook, New York 11794-3400, United States
| | - Craig E Stivala
- Discovery Chemistry, Genentech Inc., 1 DNA Way, South San Francisco, California 94080, United States
| | - Stephen G Walker
- Department of Oral Biology and Pathology, Stony Brook University, John S. Toll Drive, Stony Brook, New York 11794-3400, United States
| | - Peter J Tonge
- Center for Advanced Study of Drug Action, Stony Brook University, John S. Toll Drive, Stony Brook, New York 11794-3400, United States
- Department of Chemistry, Stony Brook University, John S. Toll Drive, Stony Brook, New York 11794-3400, United States
- Department of Radiology, Stony Brook University, John S. Toll Drive, Stony Brook, New York 11794-3400, United States
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46
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Semi-quantitatively Predicting the Residence Time of Three Natural Products on Endothelin Receptor A by Peak Profiling Using the Receptor Functionalized Macroporous Silica Gel as Stationary Phase. JOURNAL OF ANALYSIS AND TESTING 2022. [DOI: 10.1007/s41664-022-00240-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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47
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Ruzmetov T, Montes R, Sun J, Chen SH, Tang Z, Chang CEA. Binding Kinetics Toolkit for Analyzing Transient Molecular Conformations and Computing Free Energy Landscapes. J Phys Chem A 2022; 126:8761-8770. [DOI: 10.1021/acs.jpca.2c05499] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Talant Ruzmetov
- Department of Chemistry, University of California at Riverside, Riverside, California92521, United States
| | - Ruben Montes
- Department of Chemistry, University of California at Riverside, Riverside, California92521, United States
| | - Jianan Sun
- Department of Chemistry, University of California at Riverside, Riverside, California92521, United States
| | - Si-Han Chen
- Department of Chemistry, University of California at Riverside, Riverside, California92521, United States
| | - Zhiye Tang
- Department of Chemistry, University of California at Riverside, Riverside, California92521, United States
| | - Chia-en A. Chang
- Department of Chemistry, University of California at Riverside, Riverside, California92521, United States
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48
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Wu Y, Wang S, Wang H, Hu B, Wang J. Selectivity mechanism of GRK2/5 inhibition through in silico investigation. Comput Biol Chem 2022; 101:107786. [DOI: 10.1016/j.compbiolchem.2022.107786] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Revised: 11/02/2022] [Accepted: 11/05/2022] [Indexed: 11/09/2022]
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49
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Maya-Martinez R, Xu Y, Guthertz N, Walko M, Karamanos TK, Sobott F, Breeze AL, Radford SE. Dimers of D76N-β 2-microglobulin display potent antiamyloid aggregation activity. J Biol Chem 2022; 298:102659. [PMID: 36328246 PMCID: PMC9712992 DOI: 10.1016/j.jbc.2022.102659] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Revised: 10/20/2022] [Accepted: 10/28/2022] [Indexed: 11/05/2022] Open
Abstract
Self-association of WT β2-microglobulin (WT-β2m) into amyloid fibrils is associated with the disorder dialysis related amyloidosis. In the familial variant D76N-β2m, the single amino acid substitution enhances the aggregation propensity of the protein dramatically and gives rise to a disorder that is independent of renal dysfunction. Numerous biophysical and structural studies on WT- and D76N-β2m have been performed in order to better understand the structure and dynamics of the native proteins and their different potentials to aggregate into amyloid. However, the structural properties of transient D76N-β2m oligomers and their role(s) in assembly remained uncharted. Here, we have utilized NMR methods, combined with photo-induced crosslinking, to detect, trap, and structurally characterize transient dimers of D76N-β2m. We show that the crosslinked D76N-β2m dimers have different structures from those previously characterized for the on-pathway dimers of ΔN6-β2m and are unable to assemble into amyloid. Instead, the crosslinked D76N-β2m dimers are potent inhibitors of amyloid formation, preventing primary nucleation and elongation/secondary nucleation when added in substoichiometric amounts with D76N-β2m monomers. The results highlight the specificity of early protein-protein interactions in amyloid formation and show how mapping these interfaces can inform new strategies to inhibit amyloid assembly.
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Affiliation(s)
- Roberto Maya-Martinez
- Astbury Centre for Structural Molecular Biology, School of Molecular and Cellular Biology, Faculty of Biological Sciences, University of Leeds, Leeds, United Kingdom
| | - Yong Xu
- Astbury Centre for Structural Molecular Biology, School of Molecular and Cellular Biology, Faculty of Biological Sciences, University of Leeds, Leeds, United Kingdom
| | - Nicolas Guthertz
- Astbury Centre for Structural Molecular Biology, School of Molecular and Cellular Biology, Faculty of Biological Sciences, University of Leeds, Leeds, United Kingdom
| | - Martin Walko
- Astbury Centre for Structural Molecular Biology, School of Chemistry, University of Leeds, Leeds, United Kingdom
| | - Theodoros K Karamanos
- Astbury Centre for Structural Molecular Biology, School of Molecular and Cellular Biology, Faculty of Biological Sciences, University of Leeds, Leeds, United Kingdom
| | - Frank Sobott
- Astbury Centre for Structural Molecular Biology, School of Molecular and Cellular Biology, Faculty of Biological Sciences, University of Leeds, Leeds, United Kingdom
| | - Alexander L Breeze
- Astbury Centre for Structural Molecular Biology, School of Molecular and Cellular Biology, Faculty of Biological Sciences, University of Leeds, Leeds, United Kingdom
| | - Sheena E Radford
- Astbury Centre for Structural Molecular Biology, School of Molecular and Cellular Biology, Faculty of Biological Sciences, University of Leeds, Leeds, United Kingdom.
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50
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Regueiro-Ren A, Sit SY, Chen Y, Chen J, Swidorski JJ, Liu Z, Venables BL, Sin N, Hartz RA, Protack T, Lin Z, Zhang S, Li Z, Wu DR, Li P, Kempson J, Hou X, Gupta A, Rampulla R, Mathur A, Park H, Sarjeant A, Benitex Y, Rahematpura S, Parker D, Phillips T, Haskell R, Jenkins S, Santone KS, Cockett M, Hanumegowda U, Dicker I, Meanwell NA, Krystal M. The Discovery of GSK3640254, a Next-Generation Inhibitor of HIV-1 Maturation. J Med Chem 2022; 65:11927-11948. [PMID: 36044257 DOI: 10.1021/acs.jmedchem.2c00879] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
GSK3640254 is an HIV-1 maturation inhibitor (MI) that exhibits significantly improved antiviral activity toward a range of clinically relevant polymorphic variants with reduced sensitivity toward the second-generation MI GSK3532795 (BMS-955176). The key structural difference between GSK3640254 and its predecessor is the replacement of the para-substituted benzoic acid moiety attached at the C-3 position of the triterpenoid core with a cyclohex-3-ene-1-carboxylic acid substituted with a CH2F moiety at the carbon atom α- to the pharmacophoric carboxylic acid. This structural element provided a new vector with which to explore structure-activity relationships (SARs) and led to compounds with improved polymorphic coverage while preserving pharmacokinetic (PK) properties. The approach to the design of GSK3640254, the development of a synthetic route and its preclinical profile are discussed. GSK3640254 is currently in phase IIb clinical trials after demonstrating a dose-related reduction in HIV-1 viral load over 7-10 days of dosing to HIV-1-infected subjects.
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Affiliation(s)
- Alicia Regueiro-Ren
- Small Molecule Drug Discovery, Bristol Myers Squibb Research and Early Development, Princeton, New Jersey08543, United States
| | - Sing-Yuen Sit
- Department of Discovery Chemistry, Bristol Myers Squibb Research and Early Development, 5 Research Parkway, Wallingford, Connecticut06492, United States
| | - Yan Chen
- Department of Discovery Chemistry, Bristol Myers Squibb Research and Early Development, 5 Research Parkway, Wallingford, Connecticut06492, United States
| | - Jie Chen
- Department of Discovery Chemistry, Bristol Myers Squibb Research and Early Development, 5 Research Parkway, Wallingford, Connecticut06492, United States
| | - Jacob J Swidorski
- Department of Discovery Chemistry, Bristol Myers Squibb Research and Early Development, 5 Research Parkway, Wallingford, Connecticut06492, United States
| | - Zheng Liu
- Department of Discovery Chemistry, Bristol Myers Squibb Research and Early Development, 5 Research Parkway, Wallingford, Connecticut06492, United States
| | - Brian L Venables
- Department of Discovery Chemistry, Bristol Myers Squibb Research and Early Development, 5 Research Parkway, Wallingford, Connecticut06492, United States
| | - Ny Sin
- Department of Discovery Chemistry, Bristol Myers Squibb Research and Early Development, 5 Research Parkway, Wallingford, Connecticut06492, United States
| | - Richard A Hartz
- Department of Discovery Chemistry, Bristol Myers Squibb Research and Early Development, 5 Research Parkway, Wallingford, Connecticut06492, United States
| | - Tricia Protack
- Department of Virology, Bristol Myers Squibb Research and Early Development, 5 Research Parkway, Wallingford, Connecticut06492, United States
| | - Zeyu Lin
- Department of Virology, Bristol Myers Squibb Research and Early Development, 5 Research Parkway, Wallingford, Connecticut06492, United States
| | - Sharon Zhang
- Department of Virology, Bristol Myers Squibb Research and Early Development, 5 Research Parkway, Wallingford, Connecticut06492, United States
| | - Zhufang Li
- Department of Virology, Bristol Myers Squibb Research and Early Development, 5 Research Parkway, Wallingford, Connecticut06492, United States
| | - Dauh-Rurng Wu
- Department of Discovery Synthesis, Bristol Myers Squibb Research and Early Development, PO Box 4000, Princeton, New Jersey08543, United States
| | - Peng Li
- Department of Discovery Synthesis, Bristol Myers Squibb Research and Early Development, PO Box 4000, Princeton, New Jersey08543, United States
| | - James Kempson
- Department of Discovery Synthesis, Bristol Myers Squibb Research and Early Development, PO Box 4000, Princeton, New Jersey08543, United States
| | - Xiaoping Hou
- Department of Discovery Synthesis, Bristol Myers Squibb Research and Early Development, PO Box 4000, Princeton, New Jersey08543, United States
| | - Anuradha Gupta
- Department of Discovery Synthesis; Bristol Myers Squibb Research and Early Development, Bangalore 560099, India
| | - Richard Rampulla
- Department of Discovery Synthesis, Bristol Myers Squibb Research and Early Development, PO Box 4000, Princeton, New Jersey08543, United States
| | - Arvind Mathur
- Department of Discovery Synthesis, Bristol Myers Squibb Research and Early Development, PO Box 4000, Princeton, New Jersey08543, United States
| | - Hyunsoo Park
- Bristol Myers Squibb Chemical and Synthetic Development, New Brunswick, New Jersey08901, United States
| | - Amy Sarjeant
- Bristol Myers Squibb Chemical and Synthetic Development, New Brunswick, New Jersey08901, United States
| | - Yulia Benitex
- Department of Pharmaceutical Candidate Optimization, Bristol Myers Squibb Research and Early Development, 5 Research Parkway, Wallingford, Connecticut06492, United States
| | - Sandhya Rahematpura
- Department of Pharmaceutical Candidate Optimization, Bristol Myers Squibb Research and Early Development, 5 Research Parkway, Wallingford, Connecticut06492, United States
| | - Dawn Parker
- Department of Pharmaceutical Candidate Optimization, Bristol Myers Squibb Research and Early Development, 5 Research Parkway, Wallingford, Connecticut06492, United States
| | - Thomas Phillips
- Department of Pharmaceutical Candidate Optimization, Bristol Myers Squibb Research and Early Development, 5 Research Parkway, Wallingford, Connecticut06492, United States
| | - Roy Haskell
- Department of Pharmaceutical Candidate Optimization, Bristol Myers Squibb Research and Early Development, 5 Research Parkway, Wallingford, Connecticut06492, United States
| | - Susan Jenkins
- Department of Pharmaceutical Candidate Optimization, Bristol Myers Squibb Research and Early Development, 5 Research Parkway, Wallingford, Connecticut06492, United States
| | - Kenneth S Santone
- Department of Pharmaceutical Candidate Optimization, Bristol Myers Squibb Research and Early Development, 5 Research Parkway, Wallingford, Connecticut06492, United States
| | - Mark Cockett
- Department of Virology, Bristol Myers Squibb Research and Early Development, 5 Research Parkway, Wallingford, Connecticut06492, United States
| | - Umesh Hanumegowda
- Department of Pharmaceutical Candidate Optimization, Bristol Myers Squibb Research and Early Development, 5 Research Parkway, Wallingford, Connecticut06492, United States
| | - Ira Dicker
- Department of Virology, Bristol Myers Squibb Research and Early Development, 5 Research Parkway, Wallingford, Connecticut06492, United States
| | - Nicholas A Meanwell
- Small Molecule Drug Discovery, Bristol Myers Squibb Research and Early Development, Princeton, New Jersey08543, United States
| | - Mark Krystal
- Department of Virology, Bristol Myers Squibb Research and Early Development, 5 Research Parkway, Wallingford, Connecticut06492, United States
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