CovalentInDB 2.0: an updated comprehensive database for structure-based and ligand-based covalent inhibitor design and screening
- PMID: 39441070
- PMCID: PMC11701572
- DOI: 10.1093/nar/gkae946
CovalentInDB 2.0: an updated comprehensive database for structure-based and ligand-based covalent inhibitor design and screening
Abstract
The rational design of targeted covalent inhibitors (TCIs) has emerged as a powerful strategy in drug discovery, known for its ability to achieve strong binding affinity and prolonged target engagement. However, the development of covalent drugs is often challenged by the need to optimize both covalent warhead and non-covalent interactions, alongside the limitations of existing compound libraries. To address these challenges, we present CovalentInDB 2.0, an updated online database designed to support covalent drug discovery. This updated version includes 8303 inhibitors and 368 targets, supplemented by 3445 newly added cocrystal structures, providing detailed analyses of non-covalent interactions. Furthermore, we have employed an AI-based model to profile the ligandability of 144 864 cysteines across the human proteome. CovalentInDB 2.0 also features the largest covalent virtual screening library with 2 030 192 commercially available compounds and a natural product library with 105 901 molecules, crucial for covalent drug screening and discovery. To enhance the utility of these compounds, we performed structural similarity analysis and drug-likeness predictions. Additionally, a new user data upload feature enables efficient data contribution and continuous updates. CovalentInDB 2.0 is freely accessible at http://cadd.zju.edu.cn/cidb/.
© The Author(s) 2024. Published by Oxford University Press on behalf of Nucleic Acids Research.
Figures




Similar articles
-
CovalentInDB: a comprehensive database facilitating the discovery of covalent inhibitors.Nucleic Acids Res. 2021 Jan 8;49(D1):D1122-D1129. doi: 10.1093/nar/gkaa876. Nucleic Acids Res. 2021. PMID: 33068433 Free PMC article.
-
TopCysteineDB: A Cysteinome-wide Database Integrating Structural and Chemoproteomics Data for Cysteine Ligandability Prediction.J Mol Biol. 2025 Aug 1;437(15):169196. doi: 10.1016/j.jmb.2025.169196. Epub 2025 May 8. J Mol Biol. 2025. PMID: 40348330
-
Proteome-wide covalent ligand discovery in native biological systems.Nature. 2016 Jun 23;534(7608):570-4. doi: 10.1038/nature18002. Epub 2016 Jun 15. Nature. 2016. PMID: 27309814 Free PMC article.
-
Covalent fragment libraries in drug discovery.Drug Discov Today. 2020 Jun;25(6):983-996. doi: 10.1016/j.drudis.2020.03.016. Epub 2020 Apr 13. Drug Discov Today. 2020. PMID: 32298798 Review.
-
Discovery of Cysteine-targeting Covalent Protein Kinase Inhibitors.J Med Chem. 2022 Jan 13;65(1):58-83. doi: 10.1021/acs.jmedchem.1c01719. Epub 2021 Dec 28. J Med Chem. 2022. PMID: 34962782 Review.
Cited by
-
The 2025 Nucleic Acids Research database issue and the online molecular biology database collection.Nucleic Acids Res. 2025 Jan 6;53(D1):D1-D9. doi: 10.1093/nar/gkae1220. Nucleic Acids Res. 2025. PMID: 39658041 Free PMC article.
-
Synthesis and functionalization of vinyl sulfonimidamides and their potential as electrophilic warheads.Chem Sci. 2025 Jun 13;16(28):12860-12866. doi: 10.1039/d5sc02420j. eCollection 2025 Jul 16. Chem Sci. 2025. PMID: 40521116 Free PMC article.
-
Structure-based rational design of covalent probes.Commun Chem. 2025 Aug 12;8(1):242. doi: 10.1038/s42004-025-01606-y. Commun Chem. 2025. PMID: 40797071 Free PMC article. Review.
-
Challenges and Advances in the Simulation of Targeted Covalent Inhibitors Using Quantum Computing.J Phys Chem Lett. 2025 Aug 21;16(33):8536-8545. doi: 10.1021/acs.jpclett.5c01680. Epub 2025 Aug 12. J Phys Chem Lett. 2025. PMID: 40793862 Free PMC article. Review.
References
-
- Lu X., Smaill J.B., Patterson A.V., Ding K.. Discovery of cysteine-targeting covalent protein kinase inhibitors. J. Med. Chem. 2021; 65:58–83. - PubMed
MeSH terms
Substances
Grants and funding
LinkOut - more resources
Full Text Sources