1
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Enzyme Inhibitors from Gorgonians and Soft Corals. Mar Drugs 2023; 21:md21020104. [PMID: 36827145 PMCID: PMC9963996 DOI: 10.3390/md21020104] [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: 12/23/2022] [Revised: 01/28/2023] [Accepted: 01/28/2023] [Indexed: 02/04/2023] Open
Abstract
For decades, gorgonians and soft corals have been considered promising sources of bioactive compounds, attracting the interest of scientists from different fields. As the most abundant bioactive compounds within these organisms, terpenoids, steroids, and alkaloids have received the highest coverage in the scientific literature. However, enzyme inhibitors, a functional class of bioactive compounds with high potential for industry and biomedicine, have received much less notoriety. Thus, we revised scientific literature (1974-2022) on the field of marine natural products searching for enzyme inhibitors isolated from these taxonomic groups. In this review, we present representative enzyme inhibitors from an enzymological perspective, highlighting, when available, data on specific targets, structures, potencies, mechanisms of inhibition, and physiological roles for these molecules. As most of the characterization studies for the new inhibitors remain incomplete, we also included a methodological section presenting a general strategy to face this goal by accomplishing STRENDA (Standards for Reporting Enzymology Data) project guidelines.
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2
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Hernández González JE, Alberca LN, Masforrol González Y, Reyes Acosta O, Talevi A, Salas-Sarduy E. Tetracycline Derivatives Inhibit Plasmodial Cysteine Protease Falcipain-2 through Binding to a Distal Allosteric Site. J Chem Inf Model 2021; 62:159-175. [PMID: 34962803 DOI: 10.1021/acs.jcim.1c01189] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Allosteric inhibitors regulate enzyme activity from remote and usually specific pockets. As they promise an avenue for less toxic and safer drugs, the identification and characterization of allosteric inhibitors has gained great academic and biomedical interest in recent years. Research on falcipain-2 (FP-2), the major papain-like cysteine hemoglobinase of Plasmodium falciparum, might benefit from this strategy to overcome the low selectivity against human cathepsins shown by active site-directed inhibitors. Encouraged by our previous finding that methacycline inhibits FP-2 noncompetitively, here we assessed other five tetracycline derivatives against this target and characterized their inhibition mechanism. As previously shown for methacycline, tetracycline derivatives inhibited FP-2 in a noncompetitive fashion, with Ki values ranging from 121 to 190 μM. A possible binding to the S' side of the FP-2 active site, similar to that described by X-ray crystallography (PDB: 6SSZ) for the noncompetitive inhibitor E-chalcone 48 (EC48), was experimentally discarded by kinetic analysis using a large peptidyl substrate spanning the whole active site. By combining lengthy molecular dynamics (MD) simulations that allowed methacycline to diffuse from solution to different FP-2 surface regions and free energy calculations, we predicted the most likely binding mode of the ligand. Of note, the proposed binding pose explains the low differences in Ki values observed for the tested tetracycline derivatives and the calculated binding free energies match the experimental values. Overall, this study has implications for the design of novel allosteric inhibitors against FP-2 and sets the basis for further optimization of the tetracycline scaffold to produce more potent and selective inhibitors.
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Affiliation(s)
- Jorge Enrique Hernández González
- Departamento de Física, Instituto de Biociências, Letras e Ciências Exatas, Universidade Estadual Paulista Júlio de Mesquita Filho, Rua Cristóvão Colombo, 2265, Jardim Nazareth, São José do Rio Preto, São Paulo CEP 15054-000, Brazil
| | - Lucas N Alberca
- Laboratory of Bioactive Compounds Research and Development (LIDeB), Department of Biological Sciences, Exact Sciences College, Universidad Nacional de La Plata, La Plata B1900ADU, Argentina
| | | | - Osvaldo Reyes Acosta
- Chemistry and Physics Department, Center for Genetic Engineering and Biotechnology, Havana 10600, Cuba
| | - Alan Talevi
- Laboratory of Bioactive Compounds Research and Development (LIDeB), Department of Biological Sciences, Exact Sciences College, Universidad Nacional de La Plata, La Plata B1900ADU, Argentina
| | - Emir Salas-Sarduy
- Instituto de Investigaciones Biotecnológicas "Dr. Rodolfo Ugalde"─Universidad Nacional de San Martín─CONICET, San Martín B1650HMP, Buenos Aires, Argentina
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3
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Muller C, Rabal O, Diaz Gonzalez C. Artificial Intelligence, Machine Learning, and Deep Learning in Real-Life Drug Design Cases. METHODS IN MOLECULAR BIOLOGY (CLIFTON, N.J.) 2021; 2390:383-407. [PMID: 34731478 DOI: 10.1007/978-1-0716-1787-8_16] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
The discovery and development of drugs is a long and expensive process with a high attrition rate. Computational drug discovery contributes to ligand discovery and optimization, by using models that describe the properties of ligands and their interactions with biological targets. In recent years, artificial intelligence (AI) has made remarkable modeling progress, driven by new algorithms and by the increase in computing power and storage capacities, which allow the processing of large amounts of data in a short time. This review provides the current state of the art of AI methods applied to drug discovery, with a focus on structure- and ligand-based virtual screening, library design and high-throughput analysis, drug repurposing and drug sensitivity, de novo design, chemical reactions and synthetic accessibility, ADMET, and quantum mechanics.
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Affiliation(s)
- Christophe Muller
- Evotec (France) SAS, Computational Drug Discovery, Integrated Drug Discovery, Toulouse, France
| | - Obdulia Rabal
- Evotec (France) SAS, Computational Drug Discovery, Integrated Drug Discovery, Toulouse, France
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4
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Forrestall KL, Burley DE, Cash MK, Pottie IR, Darvesh S. Phenothiazines as dual inhibitors of SARS-CoV-2 main protease and COVID-19 inflammation. CAN J CHEM 2021. [DOI: 10.1139/cjc-2021-0139] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
COVID-19, caused by the severe acute respiratory coronavirus 2 (SARS-CoV-2), currently has no treatment for acute infection. The main protease (Mpro) of SARS-CoV-2 is an essential enzyme for viral replication and an attractive target for disease intervention. The phenothiazine moiety has demonstrated drug versatility for biological systems, including inhibition of butyrylcholinesterase, a property important in the cholinesterase anti-inflammatory cascade. Nineteen phenothiazine drugs were investigated using in silico modelling techniques to predict binding energies and inhibition constants (Ki values) with SARS-CoV-2 Mpro. Because most side-effects of phenothiazines are due to interactions with various neurotransmitter receptors and transporters, phenothiazines with few such interactions were also investigated. All compounds were found to bind to the active site of SARS-CoV-2 Mpro and showed Ki values ranging from 1.30 to 52.4 µM in a rigid active site. Nine phenothiazines showed inhibition constants <10 µM. The compounds with limited interactions with neurotransmitter receptors and transporters showed micromolar (µM) Ki values. Docking results were compared with remdesivir and showed similar interactions with key residues Glu-166 and Gln-189 in the active site. This work has identified several phenothiazines with limited neurotransmitter receptor and transporter interactions and that may provide the dual action of inhibiting SARS-CoV-2 Mpro to prevent viral replication and promote the release of anti-inflammatory cytokines to curb viral-induced inflammation. These compounds are promising candidates for further investigation against SARS-CoV-2.
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Affiliation(s)
- Katrina L. Forrestall
- Department of Medical Neuroscience, Faculty of Medicine, Dalhousie University, Halifax, NS B3H 4R2, Canada
| | - Darcy E. Burley
- Department of Medical Neuroscience, Faculty of Medicine, Dalhousie University, Halifax, NS B3H 4R2, Canada
| | - Meghan K. Cash
- Department of Medical Neuroscience, Faculty of Medicine, Dalhousie University, Halifax, NS B3H 4R2, Canada
| | - Ian R. Pottie
- Department of Chemistry and Physics, Faculty of Arts and Science, Mount Saint Vincent University, Halifax, NS B3M 2J6, Canada
- Department of Chemistry, Faculty of Science, Saint Mary’s University, Halifax, NS B3H 3C3, Canada
| | - Sultan Darvesh
- Department of Medical Neuroscience, Faculty of Medicine, Dalhousie University, Halifax, NS B3H 4R2, Canada
- Department of Chemistry and Physics, Faculty of Arts and Science, Mount Saint Vincent University, Halifax, NS B3M 2J6, Canada
- Department of Medicine (Neurology & Geriatric Medicine), Faculty of Medicine, Dalhousie University, Halifax, NS B3H 4R2, Canada
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5
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Stachulski AV, Taujanskas J, Pate SL, Rajoli RKR, Aljayyoussi G, Pennington SH, Ward SA, Hong WD, Biagini GA, Owen A, Nixon GL, Leung SC, O’Neill PM. Therapeutic Potential of Nitazoxanide: An Appropriate Choice for Repurposing versus SARS-CoV-2? ACS Infect Dis 2021; 7:1317-1331. [PMID: 33352056 PMCID: PMC7771247 DOI: 10.1021/acsinfecdis.0c00478] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Indexed: 12/16/2022]
Abstract
The rapidly growing COVID-19 pandemic is the most serious global health crisis since the "Spanish flu" of 1918. There is currently no proven effective drug treatment or prophylaxis for this coronavirus infection. While developing safe and effective vaccines is one of the key focuses, a number of existing antiviral drugs are being evaluated for their potency and efficiency against SARS-CoV-2 in vitro and in the clinic. Here, we review the significant potential of nitazoxanide (NTZ) as an antiviral agent that can be repurposed as a treatment for COVID-19. Originally, NTZ was developed as an antiparasitic agent especially against Cryptosporidium spp.; it was later shown to possess potent activity against a broad range of both RNA and DNA viruses, including influenza A, hepatitis B and C, and coronaviruses. Recent in vitro assessment of NTZ has confirmed its promising activity against SARS-CoV-2 with an EC50 of 2.12 μM. Here we examine its drug properties, antiviral activity against different viruses, clinical trials outcomes, and mechanisms of antiviral action from the literature in order to highlight the therapeutic potential for the treatment of COVID-19. Furthermore, in preliminary PK/PD analyses using clinical data reported in the literature, comparison of simulated TIZ (active metabolite of NTZ) exposures at two doses with the in vitro potency of NTZ against SARS-CoV-2 gives further support for drug repurposing with potential in combination chemotherapy approaches. The review concludes with details of second generation thiazolides under development that could lead to improved antiviral therapies for future indications.
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Affiliation(s)
| | - Joshua Taujanskas
- Department of Chemistry, University of
Liverpool, Liverpool L69 7ZD, U.K.
| | - Sophie L. Pate
- Department of Chemistry, University of
Liverpool, Liverpool L69 7ZD, U.K.
| | - Rajith K. R. Rajoli
- Department of Molecular and Clinical Pharmacology,
Materials Innovation Factory, University of Liverpool,
Liverpool L7 3NY, U.K.
| | - Ghaith Aljayyoussi
- Centre for Drugs and Diagnostics, Department of Tropical
Disease Biology, Liverpool School of Tropical Medicine,
Liverpool L3 5QA, U.K.
| | - Shaun H. Pennington
- Centre for Drugs and Diagnostics, Department of Tropical
Disease Biology, Liverpool School of Tropical Medicine,
Liverpool L3 5QA, U.K.
| | - Stephen A. Ward
- Centre for Drugs and Diagnostics, Department of Tropical
Disease Biology, Liverpool School of Tropical Medicine,
Liverpool L3 5QA, U.K.
| | - Weiqian David Hong
- Department of Chemistry, University of
Liverpool, Liverpool L69 7ZD, U.K.
| | - Giancarlo A. Biagini
- Centre for Drugs and Diagnostics, Department of Tropical
Disease Biology, Liverpool School of Tropical Medicine,
Liverpool L3 5QA, U.K.
| | - Andrew Owen
- Department of Molecular and Clinical Pharmacology,
Materials Innovation Factory, University of Liverpool,
Liverpool L7 3NY, U.K.
| | - Gemma L. Nixon
- Department of Chemistry, University of
Liverpool, Liverpool L69 7ZD, U.K.
| | - Suet C. Leung
- Department of Chemistry, University of
Liverpool, Liverpool L69 7ZD, U.K.
| | - Paul M. O’Neill
- Department of Chemistry, University of
Liverpool, Liverpool L69 7ZD, U.K.
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6
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Iwasaki RS, Batey RT. SPRINT: a Cas13a-based platform for detection of small molecules. Nucleic Acids Res 2020; 48:e101. [PMID: 32797156 PMCID: PMC7515716 DOI: 10.1093/nar/gkaa673] [Citation(s) in RCA: 47] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Revised: 07/15/2020] [Accepted: 07/31/2020] [Indexed: 12/19/2022] Open
Abstract
Recent efforts in biological engineering have made detection of nucleic acids in samples more rapid, inexpensive and sensitive using CRISPR-based approaches. We expand one of these Cas13a-based methods to detect small molecules in a one-batch assay. Using SHERLOCK-based profiling of in vitrotranscription (SPRINT), in vitro transcribed RNA sequence-specifically triggers the RNase activity of Cas13a. This event activates its non-specific RNase activity, which enables cleavage of an RNA oligonucleotide labeled with a quencher/fluorophore pair and thereby de-quenches the fluorophore. This fluorogenic output can be measured to assess transcriptional output. The use of riboswitches or proteins to regulate transcription via specific effector molecules is leveraged as a coupled assay that transforms effector concentration into fluorescence intensity. In this way, we quantified eight different compounds, including cofactors, nucleotides, metabolites of amino acids, tetracycline and monatomic ions in samples. In this manner, hundreds of reactions can be easily quantified in a few hours. This increased throughput also enables detailed characterization of transcriptional regulators, synthetic compounds that inhibit transcription, or other coupled enzymatic reactions. These SPRINT reactions are easily adaptable to portable formats and could therefore be used for the detection of analytes in the field or at point-of-care situations.
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Affiliation(s)
- Roman S Iwasaki
- Department of Biochemistry, University of Colorado, Boulder, CO 80309-0596, USA
| | - Robert T Batey
- Department of Biochemistry, University of Colorado, Boulder, CO 80309-0596, USA
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7
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Biological Activity Profiles of Multitarget Ligands from X-ray Structures. Molecules 2020; 25:molecules25040794. [PMID: 32059498 PMCID: PMC7070578 DOI: 10.3390/molecules25040794] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2020] [Revised: 02/10/2020] [Accepted: 02/11/2020] [Indexed: 11/17/2022] Open
Abstract
In pharmaceutical research, compounds with multitarget activity receive increasing attention. Such promiscuous chemical entities are prime candidates for polypharmacology, but also prone to causing undesired side effects. In addition, understanding the molecular basis and magnitude of multitarget activity is a stimulating topic for exploratory research. Computationally, compound promiscuity can be estimated through large-scale analysis of activity data. To these ends, it is critically important to take data confidence criteria and data consistency across different sources into consideration. Especially the consistency aspect has thus far only been little investigated. Therefore, we have systematically determined activity annotations and profiles of known multitarget ligands (MTLs) on the basis of activity data from different sources. All MTLs used were confirmed by X-ray crystallography of complexes with multiple targets. One of the key questions underlying our analysis has been how MTLs act in biological screens. The results of our analysis revealed significant variations of MTL activity profiles originating from different data sources. Such variations must be carefully considered in promiscuity analysis. Our study raises awareness of these issues and provides guidance for large-scale activity data analysis.
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8
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Identifying Promiscuous Compounds with Activity against Different Target Classes. Molecules 2019; 24:molecules24224185. [PMID: 31752252 PMCID: PMC6891533 DOI: 10.3390/molecules24224185] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2019] [Revised: 11/12/2019] [Accepted: 11/15/2019] [Indexed: 11/21/2022] Open
Abstract
Compounds with multitarget activity are of high interest for polypharmacological drug discovery. Such promiscuous compounds might be active against closely related target proteins from the same family or against distantly related or unrelated targets. Compounds with activity against distinct targets are not only of interest for polypharmacology but also to better understand how small molecules might form specific interactions in different binding site environments. We have aimed to identify compounds with activity against drug targets from different classes. To these ends, a systematic analysis of public biological screening data was carried out. Care was taken to exclude compounds from further consideration that were prone to experimental artifacts and false positive activity readouts. Extensively assayed compounds were identified and found to contain molecules that were consistently inactive in all assays, active against a single target, or promiscuous. The latter included more than 1000 compounds that were active against 10 or more targets from different classes. These multiclass ligands were further analyzed and exemplary compounds were found in X-ray structures of complexes with distinct targets. Our collection of multiclass ligands should be of interest for pharmaceutical applications and further exploration of binding characteristics at the molecular level. Therefore, these highly promiscuous compounds are made publicly available.
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9
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Miller TW, Amason JD, Garcin ED, Lamy L, Dranchak PK, Macarthur R, Braisted J, Rubin JS, Burgess TL, Farrell CL, Roberts DD, Inglese J. Quantitative high-throughput screening assays for the discovery and development of SIRPα-CD47 interaction inhibitors. PLoS One 2019; 14:e0218897. [PMID: 31276567 PMCID: PMC6611588 DOI: 10.1371/journal.pone.0218897] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2019] [Accepted: 06/11/2019] [Indexed: 02/06/2023] Open
Abstract
CD47 is an immune checkpoint molecule that downregulates key aspects of both the innate and adaptive anti-tumor immune response via its counter receptor SIRPα, and it is expressed at high levels in a wide variety of tumor types. This has led to the development of biologics that inhibit SIRPα engagement including humanized CD47 antibodies and a soluble SIRPα decoy receptor that are currently undergoing clinical trials. Unfortunately, toxicological issues, including anemia related to on-target mechanisms, are barriers to their clinical advancement. Another potential issue with large biologics that bind CD47 is perturbation of CD47 signaling through its high-affinity interaction with the matricellular protein thrombospondin-1 (TSP1). One approach to avoid these shortcomings is to identify and develop small molecule molecular probes and pretherapeutic agents that would (1) selectively target SIRPα or TSP1 interactions with CD47, (2) provide a route to optimize pharmacokinetics, reduce on-target toxicity and maximize tissue penetration, and (3) allow more flexible routes of administration. As the first step toward this goal, we report the development of an automated quantitative high-throughput screening (qHTS) assay platform capable of screening large diverse drug-like chemical libraries to discover novel small molecules that inhibit CD47-SIRPα interaction. Using time-resolved Förster resonance energy transfer (TR-FRET) and bead-based luminescent oxygen channeling assay formats (AlphaScreen), we developed biochemical assays, optimized their performance, and individually tested them in small-molecule library screening. Based on performance and low false positive rate, the LANCE TR-FRET assay was employed in a ~90,000 compound library qHTS, while the AlphaScreen oxygen channeling assay served as a cross-validation orthogonal assay for follow-up characterization. With this multi-assay strategy, we successfully eliminated compounds that interfered with the assays and identified five compounds that inhibit the CD47-SIRPα interaction; these compounds will be further characterized and later disclosed. Importantly, our results validate the large library qHTS for antagonists of CD47-SIRPα interaction and suggest broad applicability of this approach to screen chemical libraries for other protein-protein interaction modulators.
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Affiliation(s)
- Thomas W. Miller
- Paradigm Shift Therapeutics LLC, Rockville, Maryland, United States of America
- Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Joshua D. Amason
- Paradigm Shift Therapeutics LLC, Rockville, Maryland, United States of America
- Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Elsa D. Garcin
- Department of Chemistry and Biochemistry, University of Maryland Baltimore County, Catonsville, Maryland, United States of America
| | - Laurence Lamy
- Division of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, Maryland, United States of America
| | - Patricia K. Dranchak
- Division of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, Maryland, United States of America
| | - Ryan Macarthur
- Division of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, Maryland, United States of America
| | - John Braisted
- Division of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, Maryland, United States of America
| | - Jeffrey S. Rubin
- Paradigm Shift Therapeutics LLC, Rockville, Maryland, United States of America
| | - Teresa L. Burgess
- Paradigm Shift Therapeutics LLC, Rockville, Maryland, United States of America
| | | | - David D. Roberts
- Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, United States of America
| | - James Inglese
- Division of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, Maryland, United States of America
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10
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Jansen JM, De Pascale G, Fong S, Lindvall M, Moser HE, Pfister K, Warne B, Wartchow C. Biased Complement Diversity Selection for Effective Exploration of Chemical Space in Hit-Finding Campaigns. J Chem Inf Model 2019; 59:1709-1714. [DOI: 10.1021/acs.jcim.9b00048] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Affiliation(s)
- Johanna M. Jansen
- Novartis Institutes for BioMedical Research, 5300 Chiron Way, Emeryville, California 94608, United States
| | - Gianfranco De Pascale
- Novartis Institutes for BioMedical Research, 5300 Chiron Way, Emeryville, California 94608, United States
| | - Susan Fong
- Novartis Institutes for BioMedical Research, 5300 Chiron Way, Emeryville, California 94608, United States
| | - Mika Lindvall
- Novartis Institutes for BioMedical Research, 5300 Chiron Way, Emeryville, California 94608, United States
| | - Heinz E. Moser
- Novartis Institutes for BioMedical Research, 5300 Chiron Way, Emeryville, California 94608, United States
| | - Keith Pfister
- Novartis Institutes for BioMedical Research, 5300 Chiron Way, Emeryville, California 94608, United States
| | - Bob Warne
- Novartis Institutes for BioMedical Research, 5300 Chiron Way, Emeryville, California 94608, United States
| | - Charles Wartchow
- Novartis Institutes for BioMedical Research, 5300 Chiron Way, Emeryville, California 94608, United States
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11
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Jasial S, Gilberg E, Blaschke T, Bajorath J. Machine Learning Distinguishes with High Accuracy between Pan-Assay Interference Compounds That Are Promiscuous or Represent Dark Chemical Matter. J Med Chem 2018; 61:10255-10264. [DOI: 10.1021/acs.jmedchem.8b01404] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Affiliation(s)
- Swarit Jasial
- Department of Life Science Informatics, B-IT, LIMES Program Unit Chemical Biology and Medicinal Chemistry, Endenicher Allee 19c, Rheinische Friedrich-Wilhelms-Universität, D-53115 Bonn, Germany
| | - Erik Gilberg
- Department of Life Science Informatics, B-IT, LIMES Program Unit Chemical Biology and Medicinal Chemistry, Endenicher Allee 19c, Rheinische Friedrich-Wilhelms-Universität, D-53115 Bonn, Germany
| | - Thomas Blaschke
- Department of Life Science Informatics, B-IT, LIMES Program Unit Chemical Biology and Medicinal Chemistry, Endenicher Allee 19c, Rheinische Friedrich-Wilhelms-Universität, D-53115 Bonn, Germany
| | - Jürgen Bajorath
- Department of Life Science Informatics, B-IT, LIMES Program Unit Chemical Biology and Medicinal Chemistry, Endenicher Allee 19c, Rheinische Friedrich-Wilhelms-Universität, D-53115 Bonn, Germany
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12
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Siramshetty VB, Preissner R, Gohlke BO. Exploring Activity Profiles of PAINS and Their Structural Context in Target–Ligand Complexes. J Chem Inf Model 2018; 58:1847-1857. [DOI: 10.1021/acs.jcim.8b00385] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Affiliation(s)
- Vishal B. Siramshetty
- Structural Bioinformatics Group, Charité-Universitätsmedizin Berlin, 10115 Berlin, Germany
- BB3R - Berlin Brandenburg 3R Graduate School, Freie Universität Berlin, 14195 Berlin, Germany
| | - Robert Preissner
- Structural Bioinformatics Group, Charité-Universitätsmedizin Berlin, 10115 Berlin, Germany
- BB3R - Berlin Brandenburg 3R Graduate School, Freie Universität Berlin, 14195 Berlin, Germany
| | - Bjoern-Oliver Gohlke
- Structural Bioinformatics Group, Charité-Universitätsmedizin Berlin, 10115 Berlin, Germany
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13
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Capuzzi SJ, Sun W, Muratov EN, Martínez-Romero C, He S, Zhu W, Li H, Tawa G, Fisher EG, Xu M, Shinn P, Qiu X, García-Sastre A, Zheng W, Tropsha A. Computer-Aided Discovery and Characterization of Novel Ebola Virus Inhibitors. J Med Chem 2018; 61:3582-3594. [PMID: 29624387 DOI: 10.1021/acs.jmedchem.8b00035] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
The Ebola virus (EBOV) causes severe human infection that lacks effective treatment. A recent screen identified a series of compounds that block EBOV-like particle entry into human cells. Using data from this screen, quantitative structure-activity relationship models were built and employed for virtual screening of a ∼17 million compound library. Experimental testing of 102 hits yielded 14 compounds with IC50 values under 10 μM, including several sub-micromolar inhibitors, and more than 10-fold selectivity against host cytotoxicity. These confirmed hits include FDA-approved drugs and clinical candidates with non-antiviral indications, as well as compounds with novel scaffolds and no previously known bioactivity. Five selected hits inhibited BSL-4 live-EBOV infection in a dose-dependent manner, including vindesine (0.34 μM). Additional studies of these novel anti-EBOV compounds revealed their mechanisms of action, including the inhibition of NPC1 protein, cathepsin B/L, and lysosomal function. Compounds identified in this study are among the most potent and well-characterized anti-EBOV inhibitors reported to date.
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Affiliation(s)
- Stephen J Capuzzi
- Laboratory for Molecular Modeling, Division of Chemical Biology and Medicinal Chemistry , UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill , Chapel Hill , North Carolina 27599 , United States
| | - Wei Sun
- National Center for Advancing Translational Sciences , National Institutes of Health , Bethesda , Maryland 20892 , United States
| | - Eugene N Muratov
- Laboratory for Molecular Modeling, Division of Chemical Biology and Medicinal Chemistry , UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill , Chapel Hill , North Carolina 27599 , United States.,Department of Chemical Technology , Odessa National Polytechnic University , Odessa 65000 , Ukraine
| | - Carles Martínez-Romero
- Department of Microbiology , Icahn School of Medicine at Mount Sinai , New York , New York 10029 , United States.,Global Health and Emerging Pathogens Institute , Icahn School of Medicine at Mount Sinai , New York , New York 10029 , United States
| | - Shihua He
- Special Pathogens Program, National Microbiology Laboratory , Public Health Agency of Canada , 1015 Arlington Street , Winnipeg , Manitoba R3E 3R2 , Canada
| | - Wenjun Zhu
- Special Pathogens Program, National Microbiology Laboratory , Public Health Agency of Canada , 1015 Arlington Street , Winnipeg , Manitoba R3E 3R2 , Canada.,Department of Medical Microbiology , University of Manitoba , 745 Bannatyne Avenue , Winnipeg , Manitoba R3E 0J9 , Canada
| | - Hao Li
- National Center for Advancing Translational Sciences , National Institutes of Health , Bethesda , Maryland 20892 , United States
| | - Gregory Tawa
- National Center for Advancing Translational Sciences , National Institutes of Health , Bethesda , Maryland 20892 , United States
| | - Ethan G Fisher
- National Center for Advancing Translational Sciences , National Institutes of Health , Bethesda , Maryland 20892 , United States
| | - Miao Xu
- National Center for Advancing Translational Sciences , National Institutes of Health , Bethesda , Maryland 20892 , United States
| | - Paul Shinn
- National Center for Advancing Translational Sciences , National Institutes of Health , Bethesda , Maryland 20892 , United States
| | - Xiangguo Qiu
- Special Pathogens Program, National Microbiology Laboratory , Public Health Agency of Canada , 1015 Arlington Street , Winnipeg , Manitoba R3E 3R2 , Canada.,Department of Medical Microbiology , University of Manitoba , 745 Bannatyne Avenue , Winnipeg , Manitoba R3E 0J9 , Canada
| | - Adolfo García-Sastre
- Department of Microbiology , Icahn School of Medicine at Mount Sinai , New York , New York 10029 , United States.,Global Health and Emerging Pathogens Institute , Icahn School of Medicine at Mount Sinai , New York , New York 10029 , United States.,Department of Medicine, Division of Infectious Diseases , Icahn School of Medicine at Mount Sinai , New York , New York 10029 , United States
| | - Wei Zheng
- National Center for Advancing Translational Sciences , National Institutes of Health , Bethesda , Maryland 20892 , United States
| | - Alexander Tropsha
- Laboratory for Molecular Modeling, Division of Chemical Biology and Medicinal Chemistry , UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill , Chapel Hill , North Carolina 27599 , United States
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14
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Gilberg E, Stumpfe D, Bajorath J. X-ray-Structure-Based Identification of Compounds with Activity against Targets from Different Families and Generation of Templates for Multitarget Ligand Design. ACS OMEGA 2018; 3:106-111. [PMID: 30023769 PMCID: PMC6045467 DOI: 10.1021/acsomega.7b01849] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/24/2017] [Accepted: 12/18/2017] [Indexed: 05/22/2023]
Abstract
Compounds with multitarget activity (promiscuity) are increasingly sought in drug discovery. However, promiscuous compounds are often viewed controversially in light of potential assay artifacts that may give rise to false-positive activity annotations. We have reasoned that the strongest evidence for true multitarget activity of small molecules would be provided by experimentally determined structures of ligand-target complexes. Therefore, we have carried out a systematic search of currently available X-ray structures for compounds forming complexes with different targets. Rather unexpectedly, 1418 such crystallographic ligands were identified, including 702 that formed complexes with targets from different protein families (multifamily ligands). About half of these multifamily ligands originated from the medicinal chemistry literature, making it possible to consider additional target annotations and search for analogues. From 168 distinct series of analogues containing one or more multifamily ligands, 133 unique analogue-series-based scaffolds were isolated that can serve as templates for the design of new compounds with multitarget activity. As a part of our study, all of the multifamily ligands we have identified and the analogue-series-based scaffolds are made freely available.
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Affiliation(s)
- Erik Gilberg
- Department
of Life Science Informatics, B-IT, LIMES Program Unit Chemical Biology
and Medicinal Chemistry, Rheinische Friedrich-Wilhelms-Universität, Dahlmannstr. 2, D-53113 Bonn, Germany
- Pharmaceutical
Institute, Rheinische Friedrich-Wilhelms-Universität, An der Immenburg 4, D-53121 Bonn, Germany
| | - Dagmar Stumpfe
- Department
of Life Science Informatics, B-IT, LIMES Program Unit Chemical Biology
and Medicinal Chemistry, Rheinische Friedrich-Wilhelms-Universität, Dahlmannstr. 2, D-53113 Bonn, Germany
| | - Jürgen Bajorath
- Department
of Life Science Informatics, B-IT, LIMES Program Unit Chemical Biology
and Medicinal Chemistry, Rheinische Friedrich-Wilhelms-Universität, Dahlmannstr. 2, D-53113 Bonn, Germany
- Phone: 49-228-2699-306. E-mail:
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15
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Kenny PW. Comment on The Ecstasy and Agony of Assay Interference Compounds. J Chem Inf Model 2017; 57:2640-2645. [DOI: 10.1021/acs.jcim.7b00313] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Affiliation(s)
- Peter W. Kenny
- Berwick-on-Sea, North Coast Road, Blanchisseuse, Saint George, Trinidad and Tobago
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