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Klett T, Schwer M, Ernst LN, Engelhardt MU, Jaag SJ, Masberg B, Knappe C, Lämmerhofer M, Gehringer M, Boeckler FM. Evaluation of a Covalent Library of Diverse Warheads (CovLib) Binding to JNK3, USP7, or p53. Drug Des Devel Ther 2024; 18:2653-2679. [PMID: 38974119 PMCID: PMC11226190 DOI: 10.2147/dddt.s466829] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2024] [Accepted: 06/12/2024] [Indexed: 07/09/2024] Open
Abstract
Purpose Over the last few years, covalent fragment-based drug discovery has gained significant importance. Thus, striving for more warhead diversity, we conceived a library consisting of 20 covalently reacting compounds. Our covalent fragment library (CovLib) contains four different warhead classes, including five α-cyanoacacrylamides/acrylates (CA), three epoxides (EO), four vinyl sulfones (VS), and eight electron-deficient heteroarenes with a leaving group (SNAr/SN). Methods After predicting the theoretical solubility of the fragments by LogP and LogS during the selection process, we determined their experimental solubility using a turbidimetric solubility assay. The reactivities of the different compounds were measured in a high-throughput 5,5'-dithiobis-(2-nitrobenzoic acid) DTNB assay, followed by a (glutathione) GSH stability assay. We employed the CovLib in a (differential scanning fluorimetry) DSF-based screening against different targets: c-Jun N-terminal kinase 3 (JNK3), ubiquitin-specific protease 7 (USP7), and the tumor suppressor p53. Finally, the covalent binding was confirmed by intact protein mass spectrometry (MS). Results In general, the purchased fragments turned out to be sufficiently soluble. Additionally, they covered a broad spectrum of reactivity. All investigated α-cyanoacrylamides/acrylates and all structurally confirmed epoxides turned out to be less reactive compounds, possibly due to steric hindrance and reversibility (for α-cyanoacrylamides/acrylates). The SNAr and vinyl sulfone fragments are either highly reactive or stable. DSF measurements with the different targets JNK3, USP7, and p53 identified reactive fragment hits causing a shift in the melting temperatures of the proteins. MS confirmed the covalent binding mode of all these fragments to USP7 and p53, while additionally identifying the SNAr-type electrophile SN002 as a mildly reactive covalent hit for p53. Conclusion The screening and target evaluation of the CovLib revealed first interesting hits. The highly cysteine-reactive fragments VS004, SN001, SN006, and SN007 covalently modify several target proteins and showed distinct shifts in the melting temperatures up to +5.1 °C and -9.1 °C.
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Affiliation(s)
- Theresa Klett
- Laboratory for Molecular Design & Pharmaceutical Biophysics, Institute of Pharmaceutical Sciences, Department of Pharmacy and Biochemistry, Eberhard Karls Universität Tübingen, Tübingen, 72076, Germany
| | - Martin Schwer
- Laboratory for Molecular Design & Pharmaceutical Biophysics, Institute of Pharmaceutical Sciences, Department of Pharmacy and Biochemistry, Eberhard Karls Universität Tübingen, Tübingen, 72076, Germany
| | - Larissa N Ernst
- Laboratory for Molecular Design & Pharmaceutical Biophysics, Institute of Pharmaceutical Sciences, Department of Pharmacy and Biochemistry, Eberhard Karls Universität Tübingen, Tübingen, 72076, Germany
| | - Marc U Engelhardt
- Laboratory for Molecular Design & Pharmaceutical Biophysics, Institute of Pharmaceutical Sciences, Department of Pharmacy and Biochemistry, Eberhard Karls Universität Tübingen, Tübingen, 72076, Germany
| | - Simon J Jaag
- Pharmaceutical (Bio-) Analysis, Institute of Pharmaceutical Sciences, Department of Pharmacy and Biochemistry, Eberhard Karls Universität Tübingen, Tübingen, 72076, Germany
| | - Benedikt Masberg
- Pharmaceutical (Bio-) Analysis, Institute of Pharmaceutical Sciences, Department of Pharmacy and Biochemistry, Eberhard Karls Universität Tübingen, Tübingen, 72076, Germany
| | - Cornelius Knappe
- Pharmaceutical (Bio-) Analysis, Institute of Pharmaceutical Sciences, Department of Pharmacy and Biochemistry, Eberhard Karls Universität Tübingen, Tübingen, 72076, Germany
| | - Michael Lämmerhofer
- Pharmaceutical (Bio-) Analysis, Institute of Pharmaceutical Sciences, Department of Pharmacy and Biochemistry, Eberhard Karls Universität Tübingen, Tübingen, 72076, Germany
| | - Matthias Gehringer
- Pharmaceutical Chemistry, Institute of Pharmaceutical Sciences, Department of Pharmacy and Biochemistry, Eberhard Karls Universität Tübingen, Tübingen, 72076, Germany
- Medicinal Chemistry, Institute for Biomedical Engineering, Eberhard Karls Universität Tübingen, Tübingen, 72076, Germany
| | - Frank M Boeckler
- Laboratory for Molecular Design & Pharmaceutical Biophysics, Institute of Pharmaceutical Sciences, Department of Pharmacy and Biochemistry, Eberhard Karls Universität Tübingen, Tübingen, 72076, Germany
- Interfaculty Institute for Biomedical Informatics (IBMI), Eberhard Karls Universität Tübingen, Tübingen, 72076, Germany
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2
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Xerxa E, Bajorath J. Data-oriented protein kinase drug discovery. Eur J Med Chem 2024; 271:116413. [PMID: 38636127 DOI: 10.1016/j.ejmech.2024.116413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2024] [Revised: 04/06/2024] [Accepted: 04/11/2024] [Indexed: 04/20/2024]
Abstract
The continued growth of data from biological screening and medicinal chemistry provides opportunities for data-driven experimental design and decision making in early-phase drug discovery. Approaches adopted from data science help to integrate internal and public domain data and extract knowledge from historical in-house data. Protein kinase (PK) drug discovery is an exemplary area where large amounts of data are accumulating, providing a valuable knowledge base for discovery projects. Herein, the evolution of PK drug discovery and development of small molecular PK inhibitors (PKIs) is reviewed, highlighting milestone developments in the field and discussing exemplary studies providing a basis for increasing data orientation of PK discovery efforts.
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Affiliation(s)
- Elena Xerxa
- Department of Life Science Informatics and Data Science, B-IT, LIMES Program Unit Chemical Biology and Medicinal Chemistry, Lamarr Institute for Machine Learning and Artificial Intelligence, Rheinische Friedrich-Wilhelms-Universität, Friedrich-Hirzebruch-Allee 5/6, D-53115, Bonn, Germany
| | - Jürgen Bajorath
- Department of Life Science Informatics and Data Science, B-IT, LIMES Program Unit Chemical Biology and Medicinal Chemistry, Lamarr Institute for Machine Learning and Artificial Intelligence, Rheinische Friedrich-Wilhelms-Universität, Friedrich-Hirzebruch-Allee 5/6, D-53115, Bonn, Germany.
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3
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Lucas SCC, Blackwell JH, Hewitt SH, Semple H, Whitehurst BC, Xu H. Covalent hits and where to find them. SLAS DISCOVERY : ADVANCING LIFE SCIENCES R & D 2024; 29:100142. [PMID: 38278484 DOI: 10.1016/j.slasd.2024.01.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Revised: 01/02/2024] [Accepted: 01/22/2024] [Indexed: 01/28/2024]
Abstract
Covalent hits for drug discovery campaigns are neither fantastic beasts nor mythical creatures, they can be routinely identified through electrophile-first screening campaigns using a suite of different techniques. These include biophysical and biochemical methods, cellular approaches, and DNA-encoded libraries. Employing best practice, however, is critical to success. The purpose of this review is to look at state of the art covalent hit identification, how to identify hits from a covalent library and how to select compounds for medicinal chemistry programmes.
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Affiliation(s)
- Simon C C Lucas
- Hit Discovery, Discovery Sciences, AstraZeneca R&D, Cambridge, UK.
| | | | - Sarah H Hewitt
- Mechanistic and Structural Biology, Discovery Sciences, AstraZeneca R&D, Cambridge, UK
| | - Hannah Semple
- Hit Discovery, Discovery Sciences, AstraZeneca R&D, Cambridge, UK
| | | | - Hua Xu
- Mechanistic and structural Biology, Discovery Sciences, AstraZeneca R&D, Waltham, USA
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4
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Woodhead AJ, Erlanson DA, de Esch IJP, Holvey RS, Jahnke W, Pathuri P. Fragment-to-Lead Medicinal Chemistry Publications in 2022. J Med Chem 2024; 67:2287-2304. [PMID: 38289623 DOI: 10.1021/acs.jmedchem.3c02070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2024]
Abstract
This Perspective is the eighth in an annual series that summarizes successful fragment-to-lead (F2L) case studies published each year. A tabulated summary of relevant articles published in 2022 is provided, and features such as target class, screening methods, and ligand efficiency are discussed both for the 2022 examples and for the combined examples over the years 2015-2022. In addition, trends and new developments in the field are summarized. In 2022, 18 publications described successful fragment-to-lead studies, including the development of three clinical compounds (MTRX1719, MK-8189, and BI-823911).
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Affiliation(s)
- Andrew J Woodhead
- Astex Pharmaceuticals, 436 Cambridge Science Park, Milton Road, Cambridge CB4 0QA, United Kingdom
| | - Daniel A Erlanson
- Frontier Medicines, 151 Oyster Point Blvd., South San Francisco, California 94080, United States
| | - Iwan J P de Esch
- Division of Medicinal Chemistry, Amsterdam Institute for Molecules, Medicines and Systems (AIMMS), Vrije Universiteit Amsterdam, De Boelelaan 1108, 1081 HZ Amsterdam, The Netherlands
| | - Rhian S Holvey
- Astex Pharmaceuticals, 436 Cambridge Science Park, Milton Road, Cambridge CB4 0QA, United Kingdom
| | - Wolfgang Jahnke
- Novartis Biomedical Research, Discovery Sciences, 4002 Basel, Switzerland
| | - Puja Pathuri
- Astex Pharmaceuticals, 436 Cambridge Science Park, Milton Road, Cambridge CB4 0QA, United Kingdom
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5
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Cheke RS, Kharkar PS. Covalent inhibitors: An ambitious approach for the discovery of newer oncotherapeutics. Drug Dev Res 2024; 85:e22132. [PMID: 38054744 DOI: 10.1002/ddr.22132] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2023] [Revised: 10/04/2023] [Accepted: 10/29/2023] [Indexed: 12/07/2023]
Abstract
Covalent inhibitors have been used to treat several diseases for over a century. However, strategic approaches for the rational design of covalent drugs have taken a definitive shape in recent times. Since the first appearance of covalent inhibitors in the late 18th century, the field has grown tremendously and around 30% of marketed drugs are covalent inhibitors especially, for oncology indications. However, the off-target toxicity and safety concerns can be significant issues related to the covalent drugs. Covalent kinase inhibitor (CKI) targeted oncotherapeutics has advanced dramatically over the last two decades since the discovery of afatinib (Gilotrif®), an EGFR inhibitor. Since then, US FDA has approved 10 CKIs for diverse cancer targets. The present review broadly summarizes the ongoing development in the discovery of newer CKIs from 2016 till the end of 2022. We believe that these efforts will assist the modern medicinal chemist actively working in the field of CKI discovery for varied indications.
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Affiliation(s)
- Rameshwar S Cheke
- Department of Pharmaceutical Sciences and Technology, Institute of Chemical Technology, Mumbai, India
| | - Prashant S Kharkar
- Department of Pharmaceutical Sciences and Technology, Institute of Chemical Technology, Mumbai, India
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6
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Yu D, Wagner S, Schütz M, Jeon Y, Seo M, Kim J, Brückner N, Kicuntod J, Tillmanns J, Wangen C, Hahn F, Kaufer BB, Neipel F, Eickhoff J, Klebl B, Nam K, Marschall M. An Antiherpesviral Host-Directed Strategy Based on CDK7 Covalently Binding Drugs: Target-Selective, Picomolar-Dose, Cross-Virus Reactivity. Pharmaceutics 2024; 16:158. [PMID: 38399219 PMCID: PMC10892818 DOI: 10.3390/pharmaceutics16020158] [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: 12/19/2023] [Revised: 01/12/2024] [Accepted: 01/18/2024] [Indexed: 02/25/2024] Open
Abstract
The repertoire of currently available antiviral drugs spans therapeutic applications against a number of important human pathogens distributed worldwide. These include cases of the pandemic severe acute respiratory coronavirus type 2 (SARS-CoV-2 or COVID-19), human immunodeficiency virus type 1 (HIV-1 or AIDS), and the pregnancy- and posttransplant-relevant human cytomegalovirus (HCMV). In almost all cases, approved therapies are based on direct-acting antivirals (DAAs), but their benefit, particularly in long-term applications, is often limited by the induction of viral drug resistance or side effects. These issues might be addressed by the additional use of host-directed antivirals (HDAs). As a strong input from long-term experiences with cancer therapies, host protein kinases may serve as HDA targets of mechanistically new antiviral drugs. The study demonstrates such a novel antiviral strategy by targeting the major virus-supportive host kinase CDK7. Importantly, this strategy focuses on highly selective, 3D structure-derived CDK7 inhibitors carrying a warhead moiety that mediates covalent target binding. In summary, the main experimental findings of this study are as follows: (1) the in vitro verification of CDK7 inhibition and selectivity that confirms the warhead covalent-binding principle (by CDK-specific kinase assays), (2) the highly pronounced antiviral efficacies of the hit compounds (in cultured cell-based infection models) with half-maximal effective concentrations that reach down to picomolar levels, (3) a particularly strong potency of compounds against strains and reporter-expressing recombinants of HCMV (using infection assays in primary human fibroblasts), (4) additional activity against further herpesviruses such as animal CMVs and VZV, (5) unique mechanistic properties that include an immediate block of HCMV replication directed early (determined by Western blot detection of viral marker proteins), (6) a substantial drug synergism in combination with MBV (measured by a Loewe additivity fixed-dose assay), and (7) a strong sensitivity of clinically relevant HCMV mutants carrying MBV or ganciclovir resistance markers. Combined, the data highlight the huge developmental potential of this host-directed antiviral targeting concept utilizing covalently binding CDK7 inhibitors.
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Affiliation(s)
- DongHoon Yu
- Qurient Co., Ltd., C-Dong, 242 Pangyo-ro, C801 Bundang-gu, Seongnam-si 13487, Republic of Korea
| | - Sabrina Wagner
- Institute for Clinical and Molecular Virolosgy, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Schlossgarten 4, 91054 Erlangen, Germany
| | - Martin Schütz
- Institute for Clinical and Molecular Virolosgy, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Schlossgarten 4, 91054 Erlangen, Germany
| | - Yeejin Jeon
- Qurient Co., Ltd., C-Dong, 242 Pangyo-ro, C801 Bundang-gu, Seongnam-si 13487, Republic of Korea
| | - Mooyoung Seo
- Qurient Co., Ltd., C-Dong, 242 Pangyo-ro, C801 Bundang-gu, Seongnam-si 13487, Republic of Korea
| | - Jaeseung Kim
- Qurient Co., Ltd., C-Dong, 242 Pangyo-ro, C801 Bundang-gu, Seongnam-si 13487, Republic of Korea
| | - Nadine Brückner
- Institute for Clinical and Molecular Virolosgy, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Schlossgarten 4, 91054 Erlangen, Germany
| | - Jintawee Kicuntod
- Institute for Clinical and Molecular Virolosgy, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Schlossgarten 4, 91054 Erlangen, Germany
| | - Julia Tillmanns
- Institute for Clinical and Molecular Virolosgy, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Schlossgarten 4, 91054 Erlangen, Germany
| | - Christina Wangen
- Institute for Clinical and Molecular Virolosgy, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Schlossgarten 4, 91054 Erlangen, Germany
| | - Friedrich Hahn
- Institute for Clinical and Molecular Virolosgy, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Schlossgarten 4, 91054 Erlangen, Germany
| | - Benedikt B. Kaufer
- Institute of Virology, Freie Universität Berlin, Robert-von-Ostertag-Straße 7–13, 14163 Berlin, Germany
| | - Frank Neipel
- Institute for Clinical and Molecular Virolosgy, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Schlossgarten 4, 91054 Erlangen, Germany
| | - 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
- The Norwegian College of Fishery Science UiT, Arctic University of Norway, 9037 Tromsø, Norway
| | - Kiyean Nam
- Qurient Co., Ltd., C-Dong, 242 Pangyo-ro, C801 Bundang-gu, Seongnam-si 13487, Republic of Korea
| | - Manfred Marschall
- Institute for Clinical and Molecular Virolosgy, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Schlossgarten 4, 91054 Erlangen, Germany
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7
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Martinelli M, Giorgiutti C, Fessard T, Lefebvre Q. Introducing covalent warheads on spirocyclic sp 2-sp 3 fragments by innate C-H functionalization. Org Biomol Chem 2023; 21:9230-9235. [PMID: 37965862 DOI: 10.1039/d3ob01746j] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2023]
Abstract
Sp2-sp3 fragments play a vital role in fragment-based drug design (FBDD). Strategies to chemically modify them and efficiently access libraries of these compounds have been goals of the highest priority in the last decades. In this work, a series of sp2-sp3 fragments was synthesized and validated for that purpose, based on their measured physical-chemical properties. Selective C-H cyanation and allylation of these fragments was demonstrated by simple heating in presence of an appropriate hydrogen-atom transfer reagent and a radical acceptor. These conditions enabled a streamlined access to covalent fragments in a single step, by direct introduction of the desired covalent binder. Preliminary results on vinylation, as well as late-stage functionalization of a drug analogue were disclosed.
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Affiliation(s)
- Matteo Martinelli
- Department of Chemistry, University of Pavia, Viale Taramelli, Pavia 27100, Italy
- SpiroChem AG, Mattenstrasse 22, 4058 Basel, Switzerland.
| | | | - Thomas Fessard
- SpiroChem AG, Mattenstrasse 22, 4058 Basel, Switzerland.
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8
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Csorba N, Ábrányi-Balogh P, Keserű GM. Covalent fragment approaches targeting non-cysteine residues. Trends Pharmacol Sci 2023; 44:802-816. [PMID: 37770315 DOI: 10.1016/j.tips.2023.08.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2023] [Revised: 08/28/2023] [Accepted: 08/30/2023] [Indexed: 09/30/2023]
Abstract
Covalent fragment approaches combine advantages of covalent binders and fragment-based drug discovery (FBDD) for target identification and validation. Although early applications focused mostly on cysteine labeling, the chemistries of available warheads that target other orthosteric and allosteric protein nucleophiles has recently been extended. The range of different warheads and labeling chemistries provide unique opportunities for screening and optimizing warheads necessary for targeting non-cysteine residues. In this review, we discuss these recently developed amino-acid-specific and promiscuous warheads, as well as emerging labeling chemistries, which includes novel transition metal catalyzed, photoactive, electroactive, and noncatalytic methodologies. We also highlight recent applications of covalent fragments for the development of molecular glues and proteolysis-targeting chimeras (PROTACs), and their utility in chemical proteomics-based target identification and validation.
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Affiliation(s)
- Noémi Csorba
- Medicinal Chemistry Research Group, Research Centre for Natural Sciences, Magyar tudósok krt. 2, 1117, Budapest, Hungary; National Laboratory for Drug Research and Development, Research Centre for Natural Sciences, Magyar tudósok krt. 2, 1117, Budapest, Hungary; Department of Organic Chemistry and Technology, Budapest University of Technology and Economics, Szent Gellért tér 4, 1111 Budapest, Hungary
| | - Péter Ábrányi-Balogh
- Medicinal Chemistry Research Group, Research Centre for Natural Sciences, Magyar tudósok krt. 2, 1117, Budapest, Hungary; National Laboratory for Drug Research and Development, Research Centre for Natural Sciences, Magyar tudósok krt. 2, 1117, Budapest, Hungary; Department of Organic Chemistry and Technology, Budapest University of Technology and Economics, Szent Gellért tér 4, 1111 Budapest, Hungary
| | - György M Keserű
- Medicinal Chemistry Research Group, Research Centre for Natural Sciences, Magyar tudósok krt. 2, 1117, Budapest, Hungary; National Laboratory for Drug Research and Development, Research Centre for Natural Sciences, Magyar tudósok krt. 2, 1117, Budapest, Hungary; Department of Organic Chemistry and Technology, Budapest University of Technology and Economics, Szent Gellért tér 4, 1111 Budapest, Hungary.
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9
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Xerxa E, Bajorath J. Data sets of human and mouse protein kinase inhibitors with curated activity data including covalent inhibitors. Future Sci OA 2023; 9:FSO892. [PMID: 37752915 PMCID: PMC10518807 DOI: 10.2144/fsoa-2023-0088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2023] [Accepted: 07/31/2023] [Indexed: 09/28/2023] Open
Abstract
Aim Generation of high-quality data sets of protein kinase inhibitors (PKIs). Methodology Publicly available PKIs with reliable activity data were curated. PKIs with very weak activity were classified as inactive. Analogue series and PKIs containing reactive groups (warheads) enabling covalent inhibition were systematically identified. Exemplary results & data A total of 155,579 human and 3057 mouse PKIs were obtained. Human PKIs were active 440 kinases and included 13,949 covalent PKIs. The collection of qualifying PKIs and corresponding inactive compounds is made available as an open access deposition. Limitations & next steps Potential limitations include activity data incompleteness and assay variance. The data set can be used to investigate PKIs with alternative modes of action and calibrate computational methods.
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Affiliation(s)
- Elena Xerxa
- Department of Life Science Informatics, B-IT, LIMES Program Unit Chemical Biology & Medicinal Chemistry, Rheinische Friedrich-Wilhelms-Universität, Friedrich-Hirzebruch-Allee 5/6, D-53113 Bonn, Germany
| | - Jürgen Bajorath
- Department of Life Science Informatics, B-IT, LIMES Program Unit Chemical Biology & Medicinal Chemistry, Rheinische Friedrich-Wilhelms-Universität, Friedrich-Hirzebruch-Allee 5/6, D-53113 Bonn, Germany
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10
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Wei L, Fu N, Song Y, Wang Q, Hu J. Probabilistic generative transformer language models for generative design of molecules. J Cheminform 2023; 15:88. [PMID: 37749655 PMCID: PMC10518939 DOI: 10.1186/s13321-023-00759-z] [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: 09/20/2022] [Accepted: 09/10/2023] [Indexed: 09/27/2023] Open
Abstract
Self-supervised neural language models have recently found wide applications in the generative design of organic molecules and protein sequences as well as representation learning for downstream structure classification and functional prediction. However, most of the existing deep learning models for molecule design usually require a big dataset and have a black-box architecture, which makes it difficult to interpret their design logic. Here we propose the Generative Molecular Transformer (GMTransformer), a probabilistic neural network model for generative design of molecules. Our model is built on the blank filling language model originally developed for text processing, which has demonstrated unique advantages in learning the "molecules grammars" with high-quality generation, interpretability, and data efficiency. Benchmarked on the MOSES datasets, our models achieve high novelty and Scaf compared to other baselines. The probabilistic generation steps have the potential in tinkering with molecule design due to their capability of recommending how to modify existing molecules with explanation, guided by the learned implicit molecule chemistry. The source code and datasets can be accessed freely at https://github.com/usccolumbia/GMTransformer.
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Affiliation(s)
- Lai Wei
- Department of Computer Science and Engineering, University of South Carolina, Columbia, SC, 29201, USA
| | - Nihang Fu
- Department of Computer Science and Engineering, University of South Carolina, Columbia, SC, 29201, USA
| | - Yuqi Song
- Department of Computer Science and Engineering, University of South Carolina, Columbia, SC, 29201, USA
| | - Qian Wang
- Department of Chemistry and Biochemistry, University of South Carolina, Columbia, SC, 29201, USA
| | - Jianjun Hu
- Department of Computer Science and Engineering, University of South Carolina, Columbia, SC, 29201, USA.
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Bijak V, Szczygiel M, Lenkiewicz J, Gucwa M, Cooper DR, Murzyn K, Minor W. The current role and evolution of X-ray crystallography in drug discovery and development. Expert Opin Drug Discov 2023; 18:1221-1230. [PMID: 37592849 PMCID: PMC10620067 DOI: 10.1080/17460441.2023.2246881] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Accepted: 08/08/2023] [Indexed: 08/19/2023]
Abstract
INTRODUCTION Macromolecular X-ray crystallography and cryo-EM are currently the primary techniques used to determine the three-dimensional structures of proteins, nucleic acids, and viruses. Structural information has been critical to drug discovery and structural bioinformatics. The integration of artificial intelligence (AI) into X-ray crystallography has shown great promise in automating and accelerating the analysis of complex structural data, further improving the efficiency and accuracy of structure determination. AREAS COVERED This review explores the relationship between X-ray crystallography and other modern structural determination methods. It examines the integration of data acquired from diverse biochemical and biophysical techniques with those derived from structural biology. Additionally, the paper offers insights into the influence of AI on X-ray crystallography, emphasizing how integrating AI with experimental approaches can revolutionize our comprehension of biological processes and interactions. EXPERT OPINION Investing in science is crucially emphasized due to its significant role in drug discovery and advancements in healthcare. X-ray crystallography remains an essential source of structural biology data for drug discovery. Recent advances in biochemical, spectroscopic, and bioinformatic methods, along with the integration of AI techniques, hold the potential to revolutionize drug discovery when effectively combined with robust data management practices.
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Affiliation(s)
- Vanessa Bijak
- Department of Molecular Physiology and Biological Physics, University of Virginia, Charlottesville 22908
| | - Michal Szczygiel
- Department of Molecular Physiology and Biological Physics, University of Virginia, Charlottesville 22908
- Department of Computational Biophysics and Bioinformatics, Jagiellonian University, Krakow, Poland
| | - Joanna Lenkiewicz
- Department of Molecular Physiology and Biological Physics, University of Virginia, Charlottesville 22908
| | - Michal Gucwa
- Department of Molecular Physiology and Biological Physics, University of Virginia, Charlottesville 22908
- Doctoral School of Exact and Natural Sciences, Jagiellonian University, Krakow, Poland
| | - David R. Cooper
- Department of Molecular Physiology and Biological Physics, University of Virginia, Charlottesville 22908
| | - Krzysztof Murzyn
- Department of Computational Biophysics and Bioinformatics, Jagiellonian University, Krakow, Poland
| | - Wladek Minor
- Department of Molecular Physiology and Biological Physics, University of Virginia, Charlottesville 22908
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Schaefer D, Cheng X. Recent Advances in Covalent Drug Discovery. Pharmaceuticals (Basel) 2023; 16:ph16050663. [PMID: 37242447 DOI: 10.3390/ph16050663] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Revised: 04/10/2023] [Accepted: 04/26/2023] [Indexed: 05/28/2023] Open
Abstract
In spite of the increasing number of biologics license applications, the development of covalent inhibitors is still a growing field within drug discovery. The successful approval of some covalent protein kinase inhibitors, such as ibrutinib (BTK covalent inhibitor) and dacomitinib (EGFR covalent inhibitor), and the very recent discovery of covalent inhibitors for viral proteases, such as boceprevir, narlaprevir, and nirmatrelvir, represent a new milestone in covalent drug development. Generally, the formation of covalent bonds that target proteins can offer drugs diverse advantages in terms of target selectivity, drug resistance, and administration concentration. The most important factor for covalent inhibitors is the electrophile (warhead), which dictates selectivity, reactivity, and the type of protein binding (i.e., reversible or irreversible) and can be modified/optimized through rational designs. Furthermore, covalent inhibitors are becoming more and more common in proteolysis, targeting chimeras (PROTACs) for degrading proteins, including those that are currently considered to be 'undruggable'. The aim of this review is to highlight the current state of covalent inhibitor development, including a short historical overview and some examples of applications of PROTAC technologies and treatment of the SARS-CoV-2 virus.
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Affiliation(s)
- Daniel Schaefer
- Buchmann Institute for Molecular Life Sciences, Chemical Biology, Goethe University Frankfurt am Main, Max-von-Laue-Strasse 15. R. 3.652, 60438 Frankfurt am Main, Germany
- Pharmaceutical Chemistry, Goethe University Frankfurt am Main, 60438 Frankfurt am Main, Germany
| | - Xinlai Cheng
- Buchmann Institute for Molecular Life Sciences, Chemical Biology, Goethe University Frankfurt am Main, Max-von-Laue-Strasse 15. R. 3.652, 60438 Frankfurt am Main, Germany
- Pharmaceutical Chemistry, Goethe University Frankfurt am Main, 60438 Frankfurt am Main, Germany
- Frankfurt Cancer Institute, 60596 Frankfurt am Main, Germany
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Mons E, Kim RQ, Mulder MPC. Technologies for Direct Detection of Covalent Protein—Drug Adducts. Pharmaceuticals (Basel) 2023; 16:ph16040547. [PMID: 37111304 PMCID: PMC10146396 DOI: 10.3390/ph16040547] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 03/29/2023] [Accepted: 04/03/2023] [Indexed: 04/08/2023] Open
Abstract
In the past two decades, drug candidates with a covalent binding mode have gained the interest of medicinal chemists, as several covalent anticancer drugs have successfully reached the clinic. As a covalent binding mode changes the relevant parameters to rank inhibitor potency and investigate structure-activity relationship (SAR), it is important to gather experimental evidence on the existence of a covalent protein–drug adduct. In this work, we review established methods and technologies for the direct detection of a covalent protein–drug adduct, illustrated with examples from (recent) drug development endeavors. These technologies include subjecting covalent drug candidates to mass spectrometric (MS) analysis, protein crystallography, or monitoring intrinsic spectroscopic properties of the ligand upon covalent adduct formation. Alternatively, chemical modification of the covalent ligand is required to detect covalent adducts by NMR analysis or activity-based protein profiling (ABPP). Some techniques are more informative than others and can also elucidate the modified amino acid residue or bond layout. We will discuss the compatibility of these techniques with reversible covalent binding modes and the possibilities to evaluate reversibility or obtain kinetic parameters. Finally, we expand upon current challenges and future applications. Overall, these analytical techniques present an integral part of covalent drug development in this exciting new era of drug discovery.
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Affiliation(s)
- Elma Mons
- Department of Cell and Chemical Biology, Leiden University Medical Center, 2300 RC Leiden, The Netherlands
- Institute of Biology Leiden, Leiden University, 2333 BE Leiden, The Netherlands
| | - Robbert Q. Kim
- Department of Cell and Chemical Biology, Leiden University Medical Center, 2300 RC Leiden, The Netherlands
| | - Monique P. C. Mulder
- Department of Cell and Chemical Biology, Leiden University Medical Center, 2300 RC Leiden, The Netherlands
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bioTCIs: Middle-to-Macro Biomolecular Targeted Covalent Inhibitors Possessing Both Semi-Permanent Drug Action and Stringent Target Specificity as Potential Antibody Replacements. Int J Mol Sci 2023; 24:ijms24043525. [PMID: 36834935 PMCID: PMC9968108 DOI: 10.3390/ijms24043525] [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: 12/26/2022] [Revised: 01/30/2023] [Accepted: 02/03/2023] [Indexed: 02/12/2023] Open
Abstract
Monoclonal antibody therapies targeting immuno-modulatory targets such as checkpoint proteins, chemokines, and cytokines have made significant impact in several areas, including cancer, inflammatory disease, and infection. However, antibodies are complex biologics with well-known limitations, including high cost for development and production, immunogenicity, a limited shelf-life because of aggregation, denaturation, and fragmentation of the large protein. Drug modalities such as peptides and nucleic acid aptamers showing high-affinity and highly selective interaction with the target protein have been proposed alternatives to therapeutic antibodies. The fundamental limitation of short in vivo half-life has prevented the wide acceptance of these alternatives. Covalent drugs, also known as targeted covalent inhibitors (TCIs), form permanent bonds to target proteins and, in theory, eternally exert the drug action, circumventing the pharmacokinetic limitation of other antibody alternatives. The TCI drug platform, too, has been slow in gaining acceptance because of its potential prolonged side-effect from off-target covalent binding. To avoid the potential risks of irreversible adverse drug effects from off-target conjugation, the TCI modality is broadening from the conventional small molecules to larger biomolecules possessing desirable properties (e.g., hydrolysis resistance, drug-action reversal, unique pharmacokinetics, stringent target specificity, and inhibition of protein-protein interactions). Here, we review the historical development of the TCI made of bio-oligomers/polymers (i.e., peptide-, protein-, or nucleic-acid-type) obtained by rational design and combinatorial screening. The structural optimization of the reactive warheads and incorporation into the targeted biomolecules enabling a highly selective covalent interaction between the TCI and the target protein is discussed. Through this review, we hope to highlight the middle to macro-molecular TCI platform as a realistic replacement for the antibody.
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