1
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Chakraborty S, Ahler E, Simon JJ, Fang L, Potter ZE, Sitko KA, Stephany JJ, Guttman M, Fowler DM, Maly DJ. Profiling of drug resistance in Src kinase at scale uncovers a regulatory network coupling autoinhibition and catalytic domain dynamics. Cell Chem Biol 2024; 31:207-220.e11. [PMID: 37683649 PMCID: PMC10902203 DOI: 10.1016/j.chembiol.2023.08.005] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2023] [Revised: 07/03/2023] [Accepted: 08/16/2023] [Indexed: 09/10/2023]
Abstract
Kinase inhibitors are effective cancer therapies, but resistance often limits clinical efficacy. Despite the cataloging of numerous resistance mutations, our understanding of kinase inhibitor resistance is still incomplete. Here, we comprehensively profiled the resistance of ∼3,500 Src tyrosine kinase mutants to four different ATP-competitive inhibitors. We found that ATP-competitive inhibitor resistance mutations are distributed throughout Src's catalytic domain. In addition to inhibitor contact residues, residues that participate in regulating Src's phosphotransferase activity were prone to the development of resistance. Unexpectedly, we found that a resistance-prone cluster of residues located on the top face of the N-terminal lobe of Src's catalytic domain contributes to autoinhibition by reducing catalytic domain dynamics, and mutations in this cluster led to resistance by lowering inhibitor affinity and promoting kinase hyperactivation. Together, our studies demonstrate how drug resistance profiling can be used to define potential resistance pathways and uncover new mechanisms of kinase regulation.
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Affiliation(s)
- Sujata Chakraborty
- Department of Chemistry, University of Washington, Seattle, WA 98195, USA
| | - Ethan Ahler
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA; Molecular and Cellular Biology, University of Washington, Seattle, WA 98195, USA
| | - Jessica J Simon
- Department of Chemistry, University of Washington, Seattle, WA 98195, USA
| | - Linglan Fang
- Department of Chemistry, University of Washington, Seattle, WA 98195, USA
| | - Zachary E Potter
- Department of Chemistry, University of Washington, Seattle, WA 98195, USA
| | - Katherine A Sitko
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Jason J Stephany
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Miklos Guttman
- Department of Medicinal Chemistry, University of Washington, Seattle, WA 98195, USA
| | - Douglas M Fowler
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA; Department of Bioengineering, University of Washington, Seattle, WA 98195, USA.
| | - Dustin J Maly
- Department of Chemistry, University of Washington, Seattle, WA 98195, USA; Department of Biochemistry, University of Washington, Seattle, WA 98195, USA.
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2
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Ladias C, Papakotoulas P, Papaioannou M, Papanikolaou NA. Overcoming phenotypic switching: targeting protein-protein interactions in cancer. EXPLORATION OF TARGETED ANTI-TUMOR THERAPY 2023; 4:1071-1081. [PMID: 38023990 PMCID: PMC10651353 DOI: 10.37349/etat.2023.00181] [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: 03/08/2023] [Accepted: 08/02/2023] [Indexed: 12/01/2023] Open
Abstract
Alternative protein-protein interactions (PPIs) arising from mutations or post-translational modifications (PTMs), termed phenotypic switching (PS), are critical for the transmission of alternative pathogenic signals and are particularly significant in cancer. In recent years, PPIs have emerged as promising targets for rational drug design, primarily because their high specificity facilitates targeting of disease-related signaling pathways. However, obstacles exist at the molecular level that arise from the properties of the interaction interfaces and the propensity of small molecule drugs to interact with more than one cleft surface. The difficulty in identifying small molecules that act as activators or inhibitors to counteract the biological effects of mutations raises issues that have not been encountered before. For example, small molecules can bind tightly but may not act as drugs or bind to multiple sites (interaction promiscuity). Another reason is the absence of significant clefts on protein surfaces; if a pocket is present, it may be too small, or its geometry may prevent binding. PS, which arises from oncogenic (alternative) signaling, causes drug resistance and forms the basis for the systemic robustness of tumors. In this review, the properties of PPI interfaces relevant to the design and development of targeting drugs are examined. In addition, the interactions between three tyrosine kinase inhibitors (TKIs) employed as drugs are discussed. Finally, potential novel targets of one of these drugs were identified in silico.
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Affiliation(s)
- Christos Ladias
- Department of Biological Applications and Technology, University of Ioannina, 45110 Ioannina, Epirus, Greece
| | - Pavlos Papakotoulas
- First Department of Clinical Oncology, Theageneio Cancer Hospital, 54639 Thessaloniki, Macedonia, Greece
| | - Maria Papaioannou
- Laboratory of Biological Chemistry, Department of Medicine, Section of Biological Sciences and Preventive Medicine, Aristotle University of Thessaloniki School of Medicine, 54124 Thessaloniki, Macedonia, Greece
| | - Nikolaos A. Papanikolaou
- Laboratory of Biological Chemistry, Department of Medicine, Section of Biological Sciences and Preventive Medicine, Aristotle University of Thessaloniki School of Medicine, 54124 Thessaloniki, Macedonia, Greece
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3
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Anderson B, Rosston P, Ong HW, Hossain MA, Davis-Gilbert ZW, Drewry DH. How many kinases are druggable? A review of our current understanding. Biochem J 2023; 480:1331-1363. [PMID: 37642371 PMCID: PMC10586788 DOI: 10.1042/bcj20220217] [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: 05/04/2023] [Revised: 08/11/2023] [Accepted: 08/15/2023] [Indexed: 08/31/2023]
Abstract
There are over 500 human kinases ranging from very well-studied to almost completely ignored. Kinases are tractable and implicated in many diseases, making them ideal targets for medicinal chemistry campaigns, but is it possible to discover a drug for each individual kinase? For every human kinase, we gathered data on their citation count, availability of chemical probes, approved and investigational drugs, PDB structures, and biochemical and cellular assays. Analysis of these factors highlights which kinase groups have a wealth of information available, and which groups still have room for progress. The data suggest a disproportionate focus on the more well characterized kinases while much of the kinome remains comparatively understudied. It is noteworthy that tool compounds for understudied kinases have already been developed, and there is still untapped potential for further development in this chemical space. Finally, this review discusses many of the different strategies employed to generate selectivity between kinases. Given the large volume of information available and the progress made over the past 20 years when it comes to drugging kinases, we believe it is possible to develop a tool compound for every human kinase. We hope this review will prove to be both a useful resource as well as inspire the discovery of a tool for every kinase.
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Affiliation(s)
- Brian Anderson
- Structural Genomics Consortium, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, U.S.A
| | - Peter Rosston
- Structural Genomics Consortium, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, U.S.A
- Department of Chemistry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, U.S.A
| | - Han Wee Ong
- Structural Genomics Consortium, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, U.S.A
| | - Mohammad Anwar Hossain
- Structural Genomics Consortium, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, U.S.A
| | - Zachary W. Davis-Gilbert
- Structural Genomics Consortium, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, U.S.A
| | - David H. Drewry
- Structural Genomics Consortium, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, U.S.A
- UNC Lineberger Comprehensive Cancer Center, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, U.S.A
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4
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Aarhus TI, Bjørnstad F, Wolowczyk C, Larsen KU, Rognstad L, Leithaug T, Unger A, Habenberger P, Wolf A, Bjørkøy G, Pridans C, Eickhoff J, Klebl B, Hoff BH, Sundby E. Synthesis and Development of Highly Selective Pyrrolo[2,3- d]pyrimidine CSF1R Inhibitors Targeting the Autoinhibited Form. J Med Chem 2023; 66:6959-6980. [PMID: 37191268 DOI: 10.1021/acs.jmedchem.3c00428] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/17/2023]
Abstract
Colony-stimulating factor-1 receptor (CSF1R) is a receptor tyrosine kinase that controls the differentiation and maintenance of most tissue-resident macrophages, and the inhibition of CSF1R has been suggested as a possible therapy for a range of human disorders. Herein, we present the synthesis, development, and structure-activity relationship of a series of highly selective pyrrolo[2,3-d]pyrimidines, showing subnanomolar enzymatic inhibition of this receptor and with excellent selectivity toward other kinases in the platelet-derived growth factor receptor (PDGFR) family. The crystal structure of the protein and 23 revealed that the binding conformation of the protein is DFG-out-like. The most promising compounds in this series were profiled for cellular potency and subjected to pharmacokinetic profiling and in vivo stability, indicating that this compound class could be relevant in a potential disease setting. Additionally, these compounds inhibited primarily the autoinhibited form of the receptor, contrasting the behavior of pexidartinib, which could explain the exquisite selectivity of these structures.
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Affiliation(s)
- Thomas Ihle Aarhus
- Department of Materials Science & Engineering, Norwegian University of Science and Technology (NTNU), NO-7491 Trondheim, Norway
- Department of Chemistry, Norwegian University of Science and Technology (NTNU), NO-7491 Trondheim, Norway
| | - Frithjof Bjørnstad
- Department of Materials Science & Engineering, Norwegian University of Science and Technology (NTNU), NO-7491 Trondheim, Norway
- Department of Chemistry, Norwegian University of Science and Technology (NTNU), NO-7491 Trondheim, Norway
| | - Camilla Wolowczyk
- Department of Biomedical Laboratory Science, Norwegian University of Science and Technology (NTNU), NO-7491 Trondheim, Norway
| | | | - Line Rognstad
- Department of Chemistry, Norwegian University of Science and Technology (NTNU), NO-7491 Trondheim, Norway
| | - Trygve Leithaug
- Department of Chemistry, Norwegian University of Science and Technology (NTNU), NO-7491 Trondheim, Norway
| | - Anke Unger
- Lead Discovery Center GmbH, Otto-Hahn-Straße 15, 44227 Dortmund, Germany
| | - Peter Habenberger
- Lead Discovery Center GmbH, Otto-Hahn-Straße 15, 44227 Dortmund, Germany
| | - Alexander Wolf
- Lead Discovery Center GmbH, Otto-Hahn-Straße 15, 44227 Dortmund, Germany
| | - Geir Bjørkøy
- Department of Biomedical Laboratory Science, Norwegian University of Science and Technology (NTNU), NO-7491 Trondheim, Norway
| | - Clare Pridans
- University of Edinburgh Centre for Inflammation Research, Queen's Medical Research Institute, University of Edinburgh, Edinburgh EH16 4TJ, U.K
| | - Jan Eickhoff
- Lead Discovery Center GmbH, Otto-Hahn-Straße 15, 44227 Dortmund, Germany
| | - Bert Klebl
- Lead Discovery Center GmbH, Otto-Hahn-Straße 15, 44227 Dortmund, Germany
| | - Bård H Hoff
- Department of Chemistry, Norwegian University of Science and Technology (NTNU), NO-7491 Trondheim, Norway
| | - Eirik Sundby
- Department of Materials Science & Engineering, Norwegian University of Science and Technology (NTNU), NO-7491 Trondheim, Norway
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5
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Turner LD, Trinh CH, Hubball RA, Orritt KM, Lin CC, Burns JE, Knowles MA, Fishwick CWG. From Fragment to Lead: De Novo Design and Development toward a Selective FGFR2 Inhibitor. J Med Chem 2021; 65:1481-1504. [PMID: 34780700 DOI: 10.1021/acs.jmedchem.1c01163] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Fibroblast growth factor receptors (FGFRs) are implicated in a range of cancers with several pan-kinase and selective-FGFR inhibitors currently being evaluated in clinical trials. Pan-FGFR inhibitors often cause toxic side effects and few examples of subtype-selective inhibitors exist. Herein, we describe a structure-guided approach toward the development of a selective FGFR2 inhibitor. De novo design was carried out on an existing fragment series to yield compounds predicted to improve potency against the FGFRs. Subsequent iterative rounds of synthesis and biological evaluation led to an inhibitor with nanomolar potency that exhibited moderate selectivity for FGFR2 over FGFR1/3. Subtle changes to the lead inhibitor resulted in a complete loss of selectivity for FGFR2. X-ray crystallographic studies revealed inhibitor-specific morphological differences in the P-loop which were posited to be fundamental to the selectivity of these compounds. Additional docking studies have predicted an FGFR2-selective H-bond which could be utilized to design more selective FGFR2 inhibitors.
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Affiliation(s)
- Lewis D Turner
- School of Chemistry, University of Leeds, Leeds, LS2 9JT, U.K
| | - Chi H Trinh
- Astbury Centre for Structural Molecular Biology, Institute of Molecular and Cellular Biology, University of Leeds, Leeds, LS2 9JT, U.K
| | - Ryan A Hubball
- School of Chemistry, University of Leeds, Leeds, LS2 9JT, U.K
| | - Kyle M Orritt
- School of Chemistry, University of Leeds, Leeds, LS2 9JT, U.K
| | - Chi-Chuan Lin
- Astbury Centre for Structural Molecular Biology, Institute of Molecular and Cellular Biology, University of Leeds, Leeds, LS2 9JT, U.K
| | - Julie E Burns
- Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, LS9 7TF, U.K
| | - Margaret A Knowles
- Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, LS9 7TF, U.K
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6
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Collie GW, Michaelides IN, Embrey K, Stubbs CJ, Börjesson U, Dale IL, Snijder A, Barlind L, Song K, Khurana P, Phillips C, Storer RI. Structural Basis for Targeting the Folded P-Loop Conformation of c-MET. ACS Med Chem Lett 2021; 12:162-167. [PMID: 33488978 PMCID: PMC7812667 DOI: 10.1021/acsmedchemlett.0c00392] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Accepted: 11/30/2020] [Indexed: 12/15/2022] Open
Abstract
![]()
We report here a
fragment screen directed toward the c-MET kinase
from which we discovered a series of inhibitors able to bind to a
rare conformation of the protein in which the P-loop adopts a collapsed,
or folded, arrangement. Preliminary SAR exploration led to an inhibitor
(7) with nanomolar biochemical activity against c-MET
and promising cell activity and kinase selectivity. These findings
increase our structural understanding of the folded P-loop conformation
of c-MET and provide a sound structural and chemical basis for further
investigation of this underexplored yet potentially therapeutically
exploitable conformational state.
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Affiliation(s)
- Gavin W. Collie
- Discovery Sciences, R&D, AstraZeneca, Cambridge, United Kingdom
| | | | - Kevin Embrey
- Discovery Sciences, R&D, AstraZeneca, Cambridge, United Kingdom
| | | | - Ulf Börjesson
- Discovery Sciences, R&D, AstraZeneca, Gothenburg, Sweden
| | - Ian L. Dale
- Discovery Sciences, R&D, AstraZeneca, Cambridge, United Kingdom
| | - Arjan Snijder
- Discovery Sciences, R&D, AstraZeneca, Gothenburg, Sweden
| | - Louise Barlind
- Discovery Sciences, R&D, AstraZeneca, Gothenburg, Sweden
| | - Kun Song
- Oncology, R&D, AstraZeneca, Boston, United States
| | - Puneet Khurana
- Discovery Sciences, R&D, AstraZeneca, Cambridge, United Kingdom
| | | | - R. Ian Storer
- Discovery Sciences, R&D, AstraZeneca, Cambridge, United Kingdom
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7
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Chakraborty MP, Bhattacharyya S, Roy S, Bhattacharya I, Das R, Mukherjee A. Selective targeting of the inactive state of hematopoietic cell kinase (Hck) with a stable curcumin derivative. J Biol Chem 2021; 296:100449. [PMID: 33617879 PMCID: PMC7946438 DOI: 10.1016/j.jbc.2021.100449] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Revised: 02/05/2021] [Accepted: 02/18/2021] [Indexed: 11/29/2022] Open
Abstract
Hck, a Src family nonreceptor tyrosine kinase (SFK), has recently been established as an attractive pharmacological target to improve pulmonary function in COVID-19 patients. Hck inhibitors are also well known for their regulatory role in various malignancies and autoimmune diseases. Curcumin has been previously identified as an excellent DYRK-2 inhibitor, but curcumin's fate is tainted by its instability in the cellular environment. Besides, small molecules targeting the inactive states of a kinase are desirable to reduce promiscuity. Here, we show that functionalization of the 4-arylidene position of the fluorescent curcumin scaffold with an aryl nitrogen mustard provides a stable Hck inhibitor (Kd = 50 ± 10 nM). The mustard curcumin derivative preferentially interacts with the inactive conformation of Hck, similar to type-II kinase inhibitors that are less promiscuous. Moreover, the lead compound showed no inhibitory effect on three other kinases (DYRK2, Src, and Abl). We demonstrate that the cytotoxicity may be mediated via inhibition of the SFK signaling pathway in triple-negative breast cancer and murine macrophage cells. Our data suggest that curcumin is a modifiable fluorescent scaffold to develop selective kinase inhibitors by remodeling its target affinity and cellular stability.
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Affiliation(s)
- Manas Pratim Chakraborty
- Department of Biological Sciences, Indian Institute of Science Education and Research Kolkata, Mohanpur Campus, Mohanpur, India
| | - Sudipta Bhattacharyya
- Department of Chemical Sciences, Indian Institute of Science Education and Research Kolkata, Mohanpur Campus, Mohanpur, India
| | - Souryadip Roy
- Department of Chemical Sciences, Indian Institute of Science Education and Research Kolkata, Mohanpur Campus, Mohanpur, India
| | - Indira Bhattacharya
- Department of Biological Sciences, Indian Institute of Science Education and Research Kolkata, Mohanpur Campus, Mohanpur, India
| | - Rahul Das
- Department of Biological Sciences, Indian Institute of Science Education and Research Kolkata, Mohanpur Campus, Mohanpur, India; Centre for Advanced Functional Materials, Indian Institute of Science Education and Research Kolkata, Mohanpur Campus, Mohanpur, India.
| | - Arindam Mukherjee
- Department of Chemical Sciences, Indian Institute of Science Education and Research Kolkata, Mohanpur Campus, Mohanpur, India; Centre for Advanced Functional Materials, Indian Institute of Science Education and Research Kolkata, Mohanpur Campus, Mohanpur, India.
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8
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Selective targeting of the αC and DFG-out pocket in p38 MAPK. Eur J Med Chem 2020; 208:112721. [DOI: 10.1016/j.ejmech.2020.112721] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Revised: 07/31/2020] [Accepted: 08/01/2020] [Indexed: 12/25/2022]
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9
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A comprehensive approach to X-ray crystallography for drug discovery at a synchrotron facility - The example of Diamond Light Source. DRUG DISCOVERY TODAY. TECHNOLOGIES 2020; 37:83-92. [PMID: 34895658 DOI: 10.1016/j.ddtec.2020.10.003] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Revised: 09/30/2020] [Accepted: 10/29/2020] [Indexed: 11/21/2022]
Abstract
A detailed understanding of the interactions between drugs and their targets is crucial to develop the best possible therapeutic agents. Structure-based drug design relies on the availability of high-resolution structures obtained primarily through X-ray crystallography. Collecting and analysing quickly a large quantity of structural data is crucial to accelerate drug discovery pipelines. Researchers from academia and industry can access the highly automated macromolecular crystallography (MX) beamlines of Diamond Light Source, the UK national synchrotron, to rapidly collect diffraction data from large numbers of crystals. With seven beamlines dedicated to MX, Diamond offers bespoke solutions for a wide variety of user requirements. Working in synergy with state-of-the-art laboratories and other life science instruments to provide an integrated offering, the MX beamlines provide innovative and multidisciplinary approaches to the determination of structures of new pharmacological targets as well as the efficient study of protein-ligand complexes.
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10
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Picado A, Chaikuad A, Wells CI, Shrestha S, Zuercher WJ, Pickett JE, Kwarcinski FE, Sinha P, de Silva CS, Zutshi R, Liu S, Kannan N, Knapp S, Drewry DH, Willson TM. A Chemical Probe for Dark Kinase STK17B Derives Its Potency and High Selectivity through a Unique P-Loop Conformation. J Med Chem 2020; 63:14626-14646. [PMID: 33215924 DOI: 10.1021/acs.jmedchem.0c01174] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
STK17B is a member of the death-associated protein kinase family and has been genetically linked to the development of diverse diseases. However, the role of STK17B in normal and disease pathology is poorly defined. Here, we present the discovery of thieno[3,2-d] pyrimidine SGC-STK17B-1 (11s), a high-quality chemical probe for this understudied "dark" kinase. 11s is an ATP-competitive inhibitor that showed remarkable selectivity over other kinases including the closely related STK17A. X-ray crystallography of 11s and related thieno[3,2-d]pyrimidines bound to STK17B revealed a unique P-loop conformation characterized by a salt bridge between R41 and the carboxylic acid of the inhibitor. Molecular dynamic simulations of STK17B revealed the flexibility of the P-loop and a wide range of R41 conformations available to the apo-protein. The isomeric thieno[2,3-d]pyrimidine SGC-STK17B-1N (19g) was identified as a negative control compound. The >100-fold lower activity of 19g on STK17B was attributed to the reduced basicity of its pyrimidine N1.
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Affiliation(s)
- Alfredo Picado
- Structural Genomics Consortium, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599-7264, United States
| | - Apirat Chaikuad
- Institute of Pharmaceutical Chemistry, Goethe University Frankfurt, Max-von-Laue-Straße 9, Frankfurt 60438, Germany.,Structural Genomics Consortium, Buchmann Institute for Molecular Life Sciences (BMLS), Max-von-Laue-Straße 15, Frankfurt 60438, Germany
| | - Carrow I Wells
- Structural Genomics Consortium, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599-7264, United States
| | - Safal Shrestha
- Institute of Bioinformatics, University of Georgia, Athens, Georgia 30602, United States
| | - William J Zuercher
- Structural Genomics Consortium, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599-7264, United States
| | - Julie E Pickett
- Structural Genomics Consortium, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599-7264, United States
| | - Frank E Kwarcinski
- Luceome Biotechnologies, 1665 E. 18th Street, Suite 106, Tucson, Arizona 85719, United States
| | - Parvathi Sinha
- Luceome Biotechnologies, 1665 E. 18th Street, Suite 106, Tucson, Arizona 85719, United States
| | - Chandi S de Silva
- Luceome Biotechnologies, 1665 E. 18th Street, Suite 106, Tucson, Arizona 85719, United States
| | - Reena Zutshi
- Luceome Biotechnologies, 1665 E. 18th Street, Suite 106, Tucson, Arizona 85719, United States
| | - Shubin Liu
- Research Computing Center, University of North Carolina, Chapel Hill, North Carolina 27599-3420, United States
| | - Natarajan Kannan
- Institute of Bioinformatics, University of Georgia, Athens, Georgia 30602, United States.,Department of Biochemistry and Molecular Biology, University of Georgia, Athens, Georgia 30602, United States
| | - Stefan Knapp
- Institute of Pharmaceutical Chemistry, Goethe University Frankfurt, Max-von-Laue-Straße 9, Frankfurt 60438, Germany.,Structural Genomics Consortium, Buchmann Institute for Molecular Life Sciences (BMLS), Max-von-Laue-Straße 15, Frankfurt 60438, Germany.,German Translational Cancer Network (DKTK) site Frankfurt/Mainz, Frankfurt am Main 60596, Germany.,Frankfurt Cancer Institute (FCI), Paul-Ehrlich-Straße 42-44, Frankfurt am Main 60596, Germany
| | - David H Drewry
- Structural Genomics Consortium, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599-7264, United States
| | - Timothy M Willson
- Structural Genomics Consortium, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599-7264, United States
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11
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Chakraborty S, Inukai T, Fang L, Golkowski M, Maly DJ. Targeting Dynamic ATP-Binding Site Features Allows Discrimination between Highly Homologous Protein Kinases. ACS Chem Biol 2019; 14:1249-1259. [PMID: 31038916 DOI: 10.1021/acschembio.9b00214] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
ATP-competitive inhibitors that demonstrate exquisite selectivity for specific members of the human kinome have been developed. Despite this success, the identification of highly selective inhibitors is still very challenging, and it is often not possible to rationally engineer selectivity between the ATP-binding sites of kinases, especially among closely related family members. Src-family kinases (SFKs) are a highly homologous family of eight multidomain, nonreceptor tyrosine kinases that play general and specialized roles in numerous cellular processes. The high sequence and functional similarities between SFK members make it hard to rationalize how selectivity can be gained with inhibitors that target the ATP-binding site. Here, we describe the development of a series of inhibitors that are highly selective for the ATP-binding sites of the SFKs Lyn and Hck over other SFKs. By biochemically characterizing how these selective ATP-competitive inhibitors allosterically influence the global conformation of SFKs, we demonstrate that they most likely interact with a binding pocket created by the movement of the conformationally flexible helix αC in the ATP-binding site. With a series of sequence swap experiments, we show that sensitivity to this class of selective inhibitors is due to the identity of residues that control the conformational flexibility of helix αC rather than any specific ATP-binding site interactions. Thus, the ATP-binding sites of highly homologous kinases can be discriminated by targeting heterogeneity within conformationally flexible regions.
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Affiliation(s)
| | - Takayuki Inukai
- Medicinal Chemistry Research Laboratories, Ono Pharmaceutical Company, Ltd., 3-1-1 Sakurai, Shimamoto, Mishima, Osaka 618-8585, Japan
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12
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Hanson SM, Georghiou G, Thakur MK, Miller WT, Rest JS, Chodera JD, Seeliger MA. What Makes a Kinase Promiscuous for Inhibitors? Cell Chem Biol 2019; 26:390-399.e5. [PMID: 30612951 DOI: 10.1016/j.chembiol.2018.11.005] [Citation(s) in RCA: 46] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2018] [Revised: 09/13/2018] [Accepted: 11/06/2018] [Indexed: 10/27/2022]
Abstract
ATP-competitive kinase inhibitors often bind several kinases due to the high conservation of the ATP binding pocket. Through clustering analysis of a large kinome profiling dataset, we found a cluster of eight promiscuous kinases that on average bind more than five times more kinase inhibitors than the other 398 kinases in the dataset. To understand the structural basis of promiscuous inhibitor binding, we determined the co-crystal structure of the receptor tyrosine kinase DDR1 with the type I inhibitors dasatinib and VX-680. Surprisingly, we find that DDR1 binds these type I inhibitors in an inactive conformation typically reserved for type II inhibitors. Our computational and biochemical studies show that DDR1 is unusually stable in this inactive conformation, giving a mechanistic explanation for inhibitor promiscuity. This phenotypic clustering analysis provides a strategy to obtain functional insights not available by sequence comparison alone.
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Affiliation(s)
- Sonya M Hanson
- Department of Pharmacological Sciences, Stony Brook University, Stony Brook, NY 11794-8651, USA; Computational and Systems Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065-1115, USA
| | - George Georghiou
- Department of Pharmacological Sciences, Stony Brook University, Stony Brook, NY 11794-8651, USA
| | - Manish K Thakur
- Department of Pharmacological Sciences, Stony Brook University, Stony Brook, NY 11794-8651, USA
| | - W Todd Miller
- Department of Physiology and Biophysics, Stony Brook University, Stony Brook, NY 11794-8651, USA
| | - Joshua S Rest
- Department of Ecology and Evolution, Stony Brook University, Stony Brook, NY 11794-5245, USA
| | - John D Chodera
- Computational and Systems Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065-1115, USA.
| | - Markus A Seeliger
- Department of Pharmacological Sciences, Stony Brook University, Stony Brook, NY 11794-8651, USA.
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13
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Register AC, Chakraborty S, Maly DJ. Allosteric Modulation of Src Family Kinases with ATP-Competitive Inhibitors. Methods Mol Biol 2018; 1636:79-89. [PMID: 28730474 DOI: 10.1007/978-1-4939-7154-1_6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
The Src family kinases (SFKs) are an important family of tyrosine kinases that are allosterically regulated by their SH2 and SH3 domains. Engagement of SFK SH2 and SH3 domains with their intramolecular ligands leads to reduced kinase activity by stabilizing an inactive ATP-binding site conformation. Disruption of these intramolecular interactions stabilizes a more active ATP-binding site conformation and restores SFK activity. Interestingly, this allosteric relationship is bidirectional in that ATP-competitive ligands that stabilize distinct active site conformations can divergently modulate the abilities of the regulatory SH2 and SH3 domains to participate in intermolecular interactions. Here, we describe a series of assays that profile the bidirectional relationship between the ATP-binding sites and regulatory domains of SFKs. These methods can be used to discover ATP-competitive inhibitors that are selective for distinct ATP-binding site conformations of SFKs and for characterizing the effects that ATP-competitive inhibitors of SFKs have on domains that are distal to their site of interaction.
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Affiliation(s)
- Ames C Register
- Departments of Chemistry and Biochemistry, University of Washington, 36 Bagley Hall, Box 351700, Seattle, WA, 98195-1700, USA
| | - Sujata Chakraborty
- Departments of Chemistry and Biochemistry, University of Washington, 36 Bagley Hall, Box 351700, Seattle, WA, 98195-1700, USA
| | - Dustin J Maly
- Departments of Chemistry and Biochemistry, University of Washington, 36 Bagley Hall, Box 351700, Seattle, WA, 98195-1700, USA.
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14
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Petrilli AM, Garcia J, Bott M, Klingeman Plati S, Dinh CT, Bracho OR, Yan D, Zou B, Mittal R, Telischi FF, Liu XZ, Chang LS, Welling DB, Copik AJ, Fernández-Valle C. Ponatinib promotes a G1 cell-cycle arrest of merlin/NF2-deficient human schwann cells. Oncotarget 2018; 8:31666-31681. [PMID: 28427224 PMCID: PMC5458238 DOI: 10.18632/oncotarget.15912] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2016] [Accepted: 02/20/2017] [Indexed: 02/04/2023] Open
Abstract
Neurofibromatosis type 2 (NF2) is a genetic syndrome that predisposes individuals to multiple benign tumors of the central and peripheral nervous systems, including vestibular schwannomas. Currently, there are no FDA approved drug therapies for NF2. Loss of function of merlin encoded by the NF2 tumor suppressor gene leads to activation of multiple mitogenic signaling cascades, including platelet-derived growth factor receptor (PDGFR) and SRC in Schwann cells. The goal of this study was to determine whether ponatinib, an FDA-approved ABL/SRC inhibitor, reduced proliferation and/or survival of merlin-deficient human Schwann cells (HSC). Merlin-deficient HSC had higher levels of phosphorylated PDGFRα/β, and SRC than merlin-expressing HSC. A similar phosphorylation pattern was observed in phospho-protein arrays of human vestibular schwannoma samples compared to normal HSC. Ponatinib reduced merlin-deficient HSC viability in a dose-dependent manner by decreasing phosphorylation of PDGFRα/β, AKT, p70S6K, MEK1/2, ERK1/2 and STAT3. These changes were associated with decreased cyclin D1 and increased p27Kip1levels, leading to a G1 cell-cycle arrest as assessed by Western blotting and flow cytometry. Ponatinib did not modulate ABL, SRC, focal adhesion kinase (FAK), or paxillin phosphorylation levels. These results suggest that ponatinib is a potential therapeutic agent for NF2-associated schwannomas and warrants further in vivo investigation.
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Affiliation(s)
- Alejandra M Petrilli
- Burnett School of Biomedical Sciences, College of Medicine, University of Central Florida, Lake Nona-Orlando, FL 32827, USA
| | - Jeanine Garcia
- Burnett School of Biomedical Sciences, College of Medicine, University of Central Florida, Lake Nona-Orlando, FL 32827, USA
| | - Marga Bott
- Burnett School of Biomedical Sciences, College of Medicine, University of Central Florida, Lake Nona-Orlando, FL 32827, USA
| | - Stephani Klingeman Plati
- Burnett School of Biomedical Sciences, College of Medicine, University of Central Florida, Lake Nona-Orlando, FL 32827, USA
| | - Christine T Dinh
- University of Miami Miller School of Medicine, Department of Otolaryngology, Miami, FL 33136, USA
| | - Olena R Bracho
- University of Miami Miller School of Medicine, Department of Otolaryngology, Miami, FL 33136, USA
| | - Denise Yan
- University of Miami Miller School of Medicine, Department of Otolaryngology, Miami, FL 33136, USA
| | - Bing Zou
- University of Miami Miller School of Medicine, Department of Otolaryngology, Miami, FL 33136, USA
| | - Rahul Mittal
- University of Miami Miller School of Medicine, Department of Otolaryngology, Miami, FL 33136, USA
| | - Fred F Telischi
- University of Miami Miller School of Medicine, Department of Otolaryngology, Miami, FL 33136, USA
| | - Xue-Zhong Liu
- University of Miami Miller School of Medicine, Department of Otolaryngology, Miami, FL 33136, USA
| | - Long-Sheng Chang
- Center for Childhood Cancer and Blood Diseases, The Research Institute at Nationwide Children's Hospital and Department of Pediatrics, The Ohio State University College of Medicine, Columbus, OH, USA
| | - D Bradley Welling
- Center for Childhood Cancer and Blood Diseases, The Research Institute at Nationwide Children's Hospital and Department of Pediatrics, The Ohio State University College of Medicine, Columbus, OH, USA.,Current Affiliation: Department of Otolaryngology, Massachusetts Eye and Ear Infirmary, Massachusetts General Hospital and Harvard University, Boston, MA 02114, USA
| | - Alicja J Copik
- Burnett School of Biomedical Sciences, College of Medicine, University of Central Florida, Lake Nona-Orlando, FL 32827, USA
| | - Cristina Fernández-Valle
- Burnett School of Biomedical Sciences, College of Medicine, University of Central Florida, Lake Nona-Orlando, FL 32827, USA
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15
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Survey of solution dynamics in Src kinase reveals allosteric cross talk between the ligand binding and regulatory sites. Nat Commun 2017; 8:2160. [PMID: 29255153 PMCID: PMC5735167 DOI: 10.1038/s41467-017-02240-6] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2017] [Accepted: 11/15/2017] [Indexed: 11/09/2022] Open
Abstract
The catalytic domain of protein tyrosine kinases can interconvert between active and inactive conformations in response to regulatory inputs. We recently demonstrated that Src kinase features an allosteric network that couples substrate-binding sites. However, the extent of conformational and dynamic changes that are propagated throughout the kinase domain remains poorly understood. Here, we monitor by NMR the effect of conformationally selective inhibitors on kinase backbone dynamics. We find that inhibitor binding and activation loop autophosphorylation induces dynamic changes across the entire kinase. We identify a highly conserved amino acid, Gly449, that is necessary for Src activation. Finally, we show for the first time how the SH3–SH2 domains perturb the dynamics of the kinase domain in the context of the full length protein. We provide experimental support for long-range communication in Src kinase that leads to the relative stabilization of active or inactive conformations and modulation of substrate affinity. Src is a prototypical signaling non-receptor protein tyrosine kinase that interconverts between distinct conformations. Here the authors use variants of the kinase-inhibitor dasatinib to define three specific conformational states of the Src kinase and shed insight on the effect of conformation-specific inhibitors on Src dynamics.
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16
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Couñago RM, Allerston CK, Savitsky P, Azevedo H, Godoi PH, Wells CI, Mascarello A, de Souza Gama FH, Massirer KB, Zuercher WJ, Guimarães CRW, Gileadi O. Structural characterization of human Vaccinia-Related Kinases (VRK) bound to small-molecule inhibitors identifies different P-loop conformations. Sci Rep 2017; 7:7501. [PMID: 28790404 PMCID: PMC5548783 DOI: 10.1038/s41598-017-07755-y] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2017] [Accepted: 06/29/2017] [Indexed: 11/12/2022] Open
Abstract
The human genome encodes two active Vaccinia-related protein kinases (VRK), VRK1 and VRK2. These proteins have been implicated in a number of cellular processes and linked to a variety of tumors. However, understanding the cellular role of VRKs and establishing their potential use as targets for therapeutic intervention has been limited by the lack of tool compounds that can specifically modulate the activity of these kinases in cells. Here we identified BI-D1870, a dihydropteridine inhibitor of RSK kinases, as a promising starting point for the development of chemical probes targeting the active VRKs. We solved co-crystal structures of both VRK1 and VRK2 bound to BI-D1870 and of VRK1 bound to two broad-spectrum inhibitors. These structures revealed that both VRKs can adopt a P-loop folded conformation, which is stabilized by different mechanisms on each protein. Based on these structures, we suggest modifications to the dihydropteridine scaffold that can be explored to produce potent and specific inhibitors towards VRK1 and VRK2.
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Affiliation(s)
- Rafael M Couñago
- Structural Genomics Consortium, Universidade Estadual de Campinas - UNICAMP, Campinas, SP, Brazil. .,Centro de Biologia Molecular e Engenharia Genética, Universidade Estadual de Campinas, Campinas, SP, Brazil.
| | - Charles K Allerston
- Structural Genomics Consortium and Target Discovery Institute, Nuffield Department of Clinical Medicine, University of Oxford, Oxford OX3 7DQ, UK
| | - Pavel Savitsky
- Structural Genomics Consortium and Target Discovery Institute, Nuffield Department of Clinical Medicine, University of Oxford, Oxford OX3 7DQ, UK
| | | | - Paulo H Godoi
- Structural Genomics Consortium, Universidade Estadual de Campinas - UNICAMP, Campinas, SP, Brazil.,Department of Biochemistry and Tissue Biology, Institute of Biology, State University of Campinas, Campinas, Brazil
| | - Carrow I Wells
- Structural Genomics Consortium, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | | | | | - Katlin B Massirer
- Structural Genomics Consortium, Universidade Estadual de Campinas - UNICAMP, Campinas, SP, Brazil.,Centro de Biologia Molecular e Engenharia Genética, Universidade Estadual de Campinas, Campinas, SP, Brazil
| | - William J Zuercher
- Structural Genomics Consortium, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | | | - Opher Gileadi
- Structural Genomics Consortium, Universidade Estadual de Campinas - UNICAMP, Campinas, SP, Brazil.,Structural Genomics Consortium and Target Discovery Institute, Nuffield Department of Clinical Medicine, University of Oxford, Oxford OX3 7DQ, UK
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17
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Feldman HC, Tong M, Wang L, Meza-Acevedo R, Gobillot TA, Lebedev I, Gliedt MJ, Hari SB, Mitra AK, Backes BJ, Papa FR, Seeliger MA, Maly DJ. Structural and Functional Analysis of the Allosteric Inhibition of IRE1α with ATP-Competitive Ligands. ACS Chem Biol 2016; 11:2195-205. [PMID: 27227314 DOI: 10.1021/acschembio.5b00940] [Citation(s) in RCA: 64] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
The accumulation of unfolded proteins under endoplasmic reticulum (ER) stress leads to the activation of the multidomain protein sensor IRE1α as part of the unfolded protein response (UPR). Clustering of IRE1α lumenal domains in the presence of unfolded proteins promotes kinase trans-autophosphorylation in the cytosol and subsequent RNase domain activation. Interestingly, there is an allosteric relationship between the kinase and RNase domains of IRE1α, which allows ATP-competitive inhibitors to modulate the activity of the RNase domain. Here, we use kinase inhibitors to study how ATP-binding site conformation affects the activity of the RNase domain of IRE1α. We find that diverse ATP-competitive inhibitors of IRE1α promote dimerization and activation of RNase activity despite blocking kinase autophosphorylation. In contrast, a subset of ATP-competitive ligands, which we call KIRAs, allosterically inactivate the RNase domain through the kinase domain by stabilizing monomeric IRE1α. Further insight into how ATP-competitive inhibitors are able to divergently modulate the RNase domain through the kinase domain was gained by obtaining the first structure of apo human IRE1α in the RNase active back-to-back dimer conformation. Comparison of this structure with other existing structures of IRE1α and integration of our extensive structure activity relationship (SAR) data has led us to formulate a model to rationalize how ATP-binding site ligands are able to control the IRE1α oligomeric state and subsequent RNase domain activity.
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Affiliation(s)
- Hannah C. Feldman
- Department
of Chemistry, University of Washington, Seattle, Washington, United States
| | - Michael Tong
- Department
of Pharmacological Sciences, Stony Brook University Medical School, Stony
Brook, New York, United States
| | - Likun Wang
- Department
of Medicine, University of California−San Francisco, San Francisco, California, United States
- Diabetes
Center, University of California−San Francisco, San Francisco, California, United States
- Lung
Biology Center, University of California−San Francisco, San Francisco, California, United States
- California
Institute for Quantitative Biosciences, University of California−San Francisco, San Francisco, California, United States
| | - Rosa Meza-Acevedo
- Department
of Medicine, University of California−San Francisco, San Francisco, California, United States
- Diabetes
Center, University of California−San Francisco, San Francisco, California, United States
- Lung
Biology Center, University of California−San Francisco, San Francisco, California, United States
- California
Institute for Quantitative Biosciences, University of California−San Francisco, San Francisco, California, United States
| | - Theodore A. Gobillot
- Department
of Chemistry, University of Washington, Seattle, Washington, United States
| | - Ivan Lebedev
- Department
of Pharmacological Sciences, Stony Brook University Medical School, Stony
Brook, New York, United States
| | - Micah J. Gliedt
- Department
of Medicine, University of California−San Francisco, San Francisco, California, United States
- Lung
Biology Center, University of California−San Francisco, San Francisco, California, United States
| | - Sanjay B. Hari
- Department
of Chemistry, University of Washington, Seattle, Washington, United States
| | - Arinjay K. Mitra
- Department
of Chemistry, University of Washington, Seattle, Washington, United States
| | - Bradley J. Backes
- Department
of Medicine, University of California−San Francisco, San Francisco, California, United States
- Lung
Biology Center, University of California−San Francisco, San Francisco, California, United States
| | - Feroz R. Papa
- Department
of Medicine, University of California−San Francisco, San Francisco, California, United States
- Diabetes
Center, University of California−San Francisco, San Francisco, California, United States
- Lung
Biology Center, University of California−San Francisco, San Francisco, California, United States
- California
Institute for Quantitative Biosciences, University of California−San Francisco, San Francisco, California, United States
| | - Markus A. Seeliger
- Department
of Pharmacological Sciences, Stony Brook University Medical School, Stony
Brook, New York, United States
| | - Dustin J. Maly
- Department
of Chemistry, University of Washington, Seattle, Washington, United States
- Department
of Biochemistry, University of Washington, Seattle, Washington, United States
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18
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Kwarcinski FE, Brandvold KR, Phadke S, Beleh OM, Johnson TK, Meagher JL, Seeliger MA, Stuckey JA, Soellner MB. Conformation-Selective Analogues of Dasatinib Reveal Insight into Kinase Inhibitor Binding and Selectivity. ACS Chem Biol 2016; 11:1296-304. [PMID: 26895387 PMCID: PMC7306399 DOI: 10.1021/acschembio.5b01018] [Citation(s) in RCA: 51] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
In the kinase field, there are many widely held tenets about conformation-selective inhibitors that have yet to be validated using controlled experiments. We have designed, synthesized, and characterized a series of kinase inhibitor analogues of dasatinib, an FDA-approved kinase inhibitor that binds the active conformation. This inhibitor series includes two Type II inhibitors that bind the DFG-out inactive conformation and two inhibitors that bind the αC-helix-out inactive conformation. Using this series of compounds, we analyze the impact that conformation-selective inhibitors have on target binding and kinome-wide selectivity.
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Affiliation(s)
- Frank E. Kwarcinski
- Department of Medicinal Chemistry, University of Michigan, Ann Arbor, MI 48109
| | | | - Sameer Phadke
- Department of Chemistry, University of Michigan, Ann Arbor, MI 48109
| | - Omar M. Beleh
- Department of Medicinal Chemistry, University of Michigan, Ann Arbor, MI 48109
| | - Taylor K. Johnson
- Department of Medicinal Chemistry, University of Michigan, Ann Arbor, MI 48109
| | | | - Markus A. Seeliger
- Department of Pharmacological Sciences, Stony Brook University, Stony Brook, NY 11794
| | - Jeanne A. Stuckey
- Center for Structural Biology, University of Michigan, Ann Arbor, MI 48109
| | - Matthew B. Soellner
- Department of Medicinal Chemistry, University of Michigan, Ann Arbor, MI 48109
- Department of Chemistry, University of Michigan, Ann Arbor, MI 48109
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19
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Binding mode of the breakthrough inhibitor AZD9291 to epidermal growth factor receptor revealed. J Struct Biol 2015; 192:539-544. [DOI: 10.1016/j.jsb.2015.10.018] [Citation(s) in RCA: 87] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2015] [Revised: 09/14/2015] [Accepted: 10/28/2015] [Indexed: 11/19/2022]
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20
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Yu X, Wang T, Lou Y, Li Y. Combination ofIn SilicoAnalysis andIn VitroAssay to Investigate Drug Response to Human Epidermal Growth Factor Receptor 2 Mutations in Lung Cancer. Mol Inform 2015; 35:25-35. [DOI: 10.1002/minf.201500030] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2015] [Accepted: 07/23/2015] [Indexed: 11/07/2022]
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21
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Tse A, Verkhivker GM. Molecular Dynamics Simulations and Structural Network Analysis of c-Abl and c-Src Kinase Core Proteins: Capturing Allosteric Mechanisms and Communication Pathways from Residue Centrality. J Chem Inf Model 2015; 55:1645-62. [DOI: 10.1021/acs.jcim.5b00240] [Citation(s) in RCA: 42] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Affiliation(s)
- Amanda Tse
- Graduate Program in Computational and Data Sciences,
Department of Computational Sciences, Schmid College of Science and
Technology, Chapman University, One University Drive, Orange, California 92866, United States
| | - Gennady M. Verkhivker
- Graduate Program in Computational and Data Sciences,
Department of Computational Sciences, Schmid College of Science and
Technology, Chapman University, One University Drive, Orange, California 92866, United States
- Chapman University School of Pharmacy, Irvine, California 92618, United States
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22
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Gowthaman R, Miller SA, Rogers S, Khowsathit J, Lan L, Bai N, Johnson DK, Liu C, Xu L, Anbanandam A, Aubé J, Roy A, Karanicolas J. DARC: Mapping Surface Topography by Ray-Casting for Effective Virtual Screening at Protein Interaction Sites. J Med Chem 2015; 59:4152-70. [PMID: 26126123 DOI: 10.1021/acs.jmedchem.5b00150] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Protein-protein interactions represent an exciting and challenging target class for therapeutic intervention using small molecules. Protein interaction sites are often devoid of the deep surface pockets presented by "traditional" drug targets, and crystal structures reveal that inhibitors typically engage these sites using very shallow binding modes. As a consequence, modern virtual screening tools developed to identify inhibitors of traditional drug targets do not perform as well when they are instead deployed at protein interaction sites. To address the need for novel inhibitors of important protein interactions, here we introduce an alternate docking strategy specifically designed for this regime. Our method, termed DARC (Docking Approach using Ray-Casting), matches the topography of a surface pocket "observed" from within the protein to the topography "observed" when viewing a potential ligand from the same vantage point. We applied DARC to carry out a virtual screen against the protein interaction site of human antiapoptotic protein Mcl-1 and found that four of the top-scoring 21 compounds showed clear inhibition in a biochemical assay. The Ki values for these compounds ranged from 1.2 to 21 μM, and each had ligand efficiency comparable to promising small-molecule inhibitors of other protein-protein interactions. These hit compounds do not resemble the natural (protein) binding partner of Mcl-1, nor do they resemble any known inhibitors of Mcl-1. Our results thus demonstrate the utility of DARC for identifying novel inhibitors of protein-protein interactions.
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Affiliation(s)
- Ragul Gowthaman
- Center for Computational Biology, ‡Department of Molecular Biosciences, §Center of Biomedical Research Excellence, Center for Cancer Experimental Therapeutics, ∥Department of Radiation Oncology, ⊥Biomolecular NMR Laboratory, #Department of Medicinal Chemistry, and ∇High Throughput Screening Laboratory University of Kansas , 2030 Becker Drive, Lawrence, Kansas 66045-7534, United States
| | - Sven A Miller
- Center for Computational Biology, ‡Department of Molecular Biosciences, §Center of Biomedical Research Excellence, Center for Cancer Experimental Therapeutics, ∥Department of Radiation Oncology, ⊥Biomolecular NMR Laboratory, #Department of Medicinal Chemistry, and ∇High Throughput Screening Laboratory University of Kansas , 2030 Becker Drive, Lawrence, Kansas 66045-7534, United States
| | - Steven Rogers
- Center for Computational Biology, ‡Department of Molecular Biosciences, §Center of Biomedical Research Excellence, Center for Cancer Experimental Therapeutics, ∥Department of Radiation Oncology, ⊥Biomolecular NMR Laboratory, #Department of Medicinal Chemistry, and ∇High Throughput Screening Laboratory University of Kansas , 2030 Becker Drive, Lawrence, Kansas 66045-7534, United States
| | - Jittasak Khowsathit
- Center for Computational Biology, ‡Department of Molecular Biosciences, §Center of Biomedical Research Excellence, Center for Cancer Experimental Therapeutics, ∥Department of Radiation Oncology, ⊥Biomolecular NMR Laboratory, #Department of Medicinal Chemistry, and ∇High Throughput Screening Laboratory University of Kansas , 2030 Becker Drive, Lawrence, Kansas 66045-7534, United States
| | - Lan Lan
- Center for Computational Biology, ‡Department of Molecular Biosciences, §Center of Biomedical Research Excellence, Center for Cancer Experimental Therapeutics, ∥Department of Radiation Oncology, ⊥Biomolecular NMR Laboratory, #Department of Medicinal Chemistry, and ∇High Throughput Screening Laboratory University of Kansas , 2030 Becker Drive, Lawrence, Kansas 66045-7534, United States
| | - Nan Bai
- Center for Computational Biology, ‡Department of Molecular Biosciences, §Center of Biomedical Research Excellence, Center for Cancer Experimental Therapeutics, ∥Department of Radiation Oncology, ⊥Biomolecular NMR Laboratory, #Department of Medicinal Chemistry, and ∇High Throughput Screening Laboratory University of Kansas , 2030 Becker Drive, Lawrence, Kansas 66045-7534, United States
| | - David K Johnson
- Center for Computational Biology, ‡Department of Molecular Biosciences, §Center of Biomedical Research Excellence, Center for Cancer Experimental Therapeutics, ∥Department of Radiation Oncology, ⊥Biomolecular NMR Laboratory, #Department of Medicinal Chemistry, and ∇High Throughput Screening Laboratory University of Kansas , 2030 Becker Drive, Lawrence, Kansas 66045-7534, United States
| | - Chunjing Liu
- Center for Computational Biology, ‡Department of Molecular Biosciences, §Center of Biomedical Research Excellence, Center for Cancer Experimental Therapeutics, ∥Department of Radiation Oncology, ⊥Biomolecular NMR Laboratory, #Department of Medicinal Chemistry, and ∇High Throughput Screening Laboratory University of Kansas , 2030 Becker Drive, Lawrence, Kansas 66045-7534, United States
| | - Liang Xu
- Center for Computational Biology, ‡Department of Molecular Biosciences, §Center of Biomedical Research Excellence, Center for Cancer Experimental Therapeutics, ∥Department of Radiation Oncology, ⊥Biomolecular NMR Laboratory, #Department of Medicinal Chemistry, and ∇High Throughput Screening Laboratory University of Kansas , 2030 Becker Drive, Lawrence, Kansas 66045-7534, United States
| | - Asokan Anbanandam
- Center for Computational Biology, ‡Department of Molecular Biosciences, §Center of Biomedical Research Excellence, Center for Cancer Experimental Therapeutics, ∥Department of Radiation Oncology, ⊥Biomolecular NMR Laboratory, #Department of Medicinal Chemistry, and ∇High Throughput Screening Laboratory University of Kansas , 2030 Becker Drive, Lawrence, Kansas 66045-7534, United States
| | - Jeffrey Aubé
- Center for Computational Biology, ‡Department of Molecular Biosciences, §Center of Biomedical Research Excellence, Center for Cancer Experimental Therapeutics, ∥Department of Radiation Oncology, ⊥Biomolecular NMR Laboratory, #Department of Medicinal Chemistry, and ∇High Throughput Screening Laboratory University of Kansas , 2030 Becker Drive, Lawrence, Kansas 66045-7534, United States
| | - Anuradha Roy
- Center for Computational Biology, ‡Department of Molecular Biosciences, §Center of Biomedical Research Excellence, Center for Cancer Experimental Therapeutics, ∥Department of Radiation Oncology, ⊥Biomolecular NMR Laboratory, #Department of Medicinal Chemistry, and ∇High Throughput Screening Laboratory University of Kansas , 2030 Becker Drive, Lawrence, Kansas 66045-7534, United States
| | - John Karanicolas
- Center for Computational Biology, ‡Department of Molecular Biosciences, §Center of Biomedical Research Excellence, Center for Cancer Experimental Therapeutics, ∥Department of Radiation Oncology, ⊥Biomolecular NMR Laboratory, #Department of Medicinal Chemistry, and ∇High Throughput Screening Laboratory University of Kansas , 2030 Becker Drive, Lawrence, Kansas 66045-7534, United States
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23
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Tse A, Verkhivker GM. Molecular Determinants Underlying Binding Specificities of the ABL Kinase Inhibitors: Combining Alanine Scanning of Binding Hot Spots with Network Analysis of Residue Interactions and Coevolution. PLoS One 2015; 10:e0130203. [PMID: 26075886 PMCID: PMC4468085 DOI: 10.1371/journal.pone.0130203] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2015] [Accepted: 05/17/2015] [Indexed: 12/20/2022] Open
Abstract
Quantifying binding specificity and drug resistance of protein kinase inhibitors is of fundamental importance and remains highly challenging due to complex interplay of structural and thermodynamic factors. In this work, molecular simulations and computational alanine scanning are combined with the network-based approaches to characterize molecular determinants underlying binding specificities of the ABL kinase inhibitors. The proposed theoretical framework unveiled a relationship between ligand binding and inhibitor-mediated changes in the residue interaction networks. By using topological parameters, we have described the organization of the residue interaction networks and networks of coevolving residues in the ABL kinase structures. This analysis has shown that functionally critical regulatory residues can simultaneously embody strong coevolutionary signal and high network centrality with a propensity to be energetic hot spots for drug binding. We have found that selective (Nilotinib) and promiscuous (Bosutinib, Dasatinib) kinase inhibitors can use their energetic hot spots to differentially modulate stability of the residue interaction networks, thus inhibiting or promoting conformational equilibrium between inactive and active states. According to our results, Nilotinib binding may induce a significant network-bridging effect and enhance centrality of the hot spot residues that stabilize structural environment favored by the specific kinase form. In contrast, Bosutinib and Dasatinib can incur modest changes in the residue interaction network in which ligand binding is primarily coupled only with the identity of the gate-keeper residue. These factors may promote structural adaptability of the active kinase states in binding with these promiscuous inhibitors. Our results have related ligand-induced changes in the residue interaction networks with drug resistance effects, showing that network robustness may be compromised by targeted mutations of key mediating residues. This study has outlined mechanisms by which inhibitor binding could modulate resilience and efficiency of allosteric interactions in the kinase structures, while preserving structural topology required for catalytic activity and regulation.
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Affiliation(s)
- Amanda Tse
- Graduate Program in Computational and Data Sciences, Schmid College of Science and Technology, Chapman University, Orange, California, United States of America
| | - Gennady M. Verkhivker
- Graduate Program in Computational and Data Sciences, Schmid College of Science and Technology, Chapman University, Orange, California, United States of America
- Chapman University School of Pharmacy, Irvine, California, United States of America
- * E-mail:
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24
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Yosaatmadja Y, Patterson AV, Smaill JB, Squire CJ. The 1.65 Å resolution structure of the complex of AZD4547 with the kinase domain of FGFR1 displays exquisite molecular recognition. ACTA ACUST UNITED AC 2015; 71:525-33. [DOI: 10.1107/s1399004714027539] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2014] [Accepted: 12/17/2014] [Indexed: 12/19/2022]
Abstract
The fibroblast growth factor receptor (FGFR) family are expressed widely in normal tissues and play a role in tissue repair, inflammation, angiogenesis and development. However, aberrant signalling through this family can lead to cellular proliferation, evasion of apoptosis and induction of angiogenesis, which is implicated in the development of many cancers and also in drug resistance. The high frequency of FGFR amplification or mutation in multiple cancer types is such that this family has been targeted for the discovery of novel, selective drug compounds, with one of the most recently discovered being AZD4547, a subnanomolar (IC50) FGFR1 inhibitor developed by AstraZeneca and currently in clinical trials. The 1.65 Å resolution crystal structure of AZD4547 bound to the kinase domain of FGFR1 has been determined and reveals extensive drug–protein interactions, an integral network of water molecules and the tight closure of the FGFR1 P-loop to form a long, narrow crevice in which the AZD4547 molecule binds.
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Abstract
The quest for ever more selective kinase inhibitors as potential future drugs has yielded a large repertoire of chemical probes that are selective for specific kinase conformations. These probes have been useful tools to obtain structural snapshots of kinase conformational plasticity. Similarly, kinetic and thermodynamic inhibitor binding experiments provide glimpses at the time scales and energetics of conformational interconversions. These experimental insights are complemented by computational predictions of conformational energy landscapes and simulations of conformational transitions and of the process of inhibitors binding to the protein kinase domain. A picture emerges in which highly selective inhibitors capitalize on the dynamic nature of kinases.
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Affiliation(s)
- Michael Tong
- Department
of Pharmacological Sciences, Stony Brook University, Stony Brook, New York 11794, United States
| | - Markus A. Seeliger
- Department
of Pharmacological Sciences, Stony Brook University, Stony Brook, New York 11794, United States
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Tse A, Verkhivker GM. Small-world networks of residue interactions in the Abl kinase complexes with cancer drugs: topology of allosteric communication pathways can determine drug resistance effects. MOLECULAR BIOSYSTEMS 2015; 11:2082-95. [DOI: 10.1039/c5mb00246j] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Computational modelling of efficiency and robustness of the residue interaction networks and allosteric pathways in kinase structures can characterize protein kinase sensitivity to drug binding and drug resistance effects.
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Affiliation(s)
- A. Tse
- Graduate Program in Computational and Data Sciences
- Department of Computational Sciences
- Schmid College of Science and Technology
- Chapman University
- Orange
| | - G. M. Verkhivker
- Graduate Program in Computational and Data Sciences
- Department of Computational Sciences
- Schmid College of Science and Technology
- Chapman University
- Orange
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Chaikuad A, Tacconi E, Zimmer J, Liang Y, Gray NS, Tarsounas M, Knapp S. A unique inhibitor binding site in ERK1/2 is associated with slow binding kinetics. Nat Chem Biol 2014; 10:853-60. [PMID: 25195011 PMCID: PMC4687050 DOI: 10.1038/nchembio.1629] [Citation(s) in RCA: 159] [Impact Index Per Article: 15.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2014] [Accepted: 08/05/2014] [Indexed: 01/07/2023]
Abstract
Activation of the ERK pathway is a hallmark of cancer, and targeting of upstream signaling partners led to the development of approved drugs. Recently, SCH772984 has been shown to be a selective and potent ERK1/2 inhibitor. Here we report the structural mechanism for its remarkable selectivity. In ERK1/2, SCH772984 induces a so-far-unknown binding pocket that accommodates the piperazine-phenyl-pyrimidine decoration. This new binding pocket was created by an inactive conformation of the phosphate-binding loop and an outward tilt of helix αC. In contrast, structure determination of SCH772984 with the off-target haspin and JNK1 revealed two canonical but distinct type I binding modes. Notably, the new binding mode with ERK1/2 was associated with slow binding kinetics in vitro as well as in cell-based assay systems. The described binding mode of SCH772984 with ERK1/2 enables the design of a new type of specific kinase inhibitors with prolonged on-target activity.
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Affiliation(s)
- Apirat Chaikuad
- Structural Genomics Consortium, University of Oxford, Old Road Campus Research Building, Roosevelt Drive, Oxford, OX3 7DQ, UK
| | - Eliana Tacconi
- Telomere and Genome Stability Group, The CR-UK/MRC Oxford Institute for Radiation Oncology, Old Campus Road Research Building, Roosevelt Drive, Oxford OX3 7DQ, UK
| | - Jutta Zimmer
- Telomere and Genome Stability Group, The CR-UK/MRC Oxford Institute for Radiation Oncology, Old Campus Road Research Building, Roosevelt Drive, Oxford OX3 7DQ, UK
| | - Yanke Liang
- Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Department of Cancer Biology, Dana Farber Cancer Institute, 250 Longwood Avenue, Boston, MA 02115, USA
| | - Nathanael S. Gray
- Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Department of Cancer Biology, Dana Farber Cancer Institute, 250 Longwood Avenue, Boston, MA 02115, USA
| | - Madalena Tarsounas
- Telomere and Genome Stability Group, The CR-UK/MRC Oxford Institute for Radiation Oncology, Old Campus Road Research Building, Roosevelt Drive, Oxford OX3 7DQ, UK
| | - Stefan Knapp
- Target Discovery Institute, University of Oxford, NDM Research Building, Roosevelt Drive, Oxford, OX3 7FZ, UK
- Structural Genomics Consortium, University of Oxford, Old Road Campus Research Building, Roosevelt Drive, Oxford, OX3 7DQ, UK
- Department of Biochemistry & Molecular Medicine, George Washington University, Ross Hall, 2300 Eye Street NW, Washington, DC 20037, USA
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