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CovalentInDB: a comprehensive database facilitating the discovery of covalent inhibitors

Inhibitors that form covalent bonds with their targets have traditionally been considered highly adventurous due to their potential off-target effects and toxicity concerns. However, with the clinical validation and approval of many covalent inhibitors during the past decade, design and discovery of...

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Autores principales: Du, Hongyan, Gao, Junbo, Weng, Gaoqi, Ding, Junjie, Chai, Xin, Pang, Jinping, Kang, Yu, Li, Dan, Cao, Dongsheng, Hou, Tingjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7778999/
https://www.ncbi.nlm.nih.gov/pubmed/33068433
http://dx.doi.org/10.1093/nar/gkaa876
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author Du, Hongyan
Gao, Junbo
Weng, Gaoqi
Ding, Junjie
Chai, Xin
Pang, Jinping
Kang, Yu
Li, Dan
Cao, Dongsheng
Hou, Tingjun
author_facet Du, Hongyan
Gao, Junbo
Weng, Gaoqi
Ding, Junjie
Chai, Xin
Pang, Jinping
Kang, Yu
Li, Dan
Cao, Dongsheng
Hou, Tingjun
author_sort Du, Hongyan
collection PubMed
description Inhibitors that form covalent bonds with their targets have traditionally been considered highly adventurous due to their potential off-target effects and toxicity concerns. However, with the clinical validation and approval of many covalent inhibitors during the past decade, design and discovery of novel covalent inhibitors have attracted increasing attention. A large amount of scattered experimental data for covalent inhibitors have been reported, but a resource by integrating the experimental information for covalent inhibitor discovery is still lacking. In this study, we presented Covalent Inhibitor Database (CovalentInDB), the largest online database that provides the structural information and experimental data for covalent inhibitors. CovalentInDB contains 4511 covalent inhibitors (including 68 approved drugs) with 57 different reactive warheads for 280 protein targets. The crystal structures of some of the proteins bound with a covalent inhibitor are provided to visualize the protein–ligand interactions around the binding site. Each covalent inhibitor is annotated with the structure, warhead, experimental bioactivity, physicochemical properties, etc. Moreover, CovalentInDB provides the covalent reaction mechanism and the corresponding experimental verification methods for each inhibitor towards its target. High-quality datasets are downloadable for users to evaluate and develop computational methods for covalent drug design. CovalentInDB is freely accessible at http://cadd.zju.edu.cn/cidb/.
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spelling pubmed-77789992021-01-06 CovalentInDB: a comprehensive database facilitating the discovery of covalent inhibitors Du, Hongyan Gao, Junbo Weng, Gaoqi Ding, Junjie Chai, Xin Pang, Jinping Kang, Yu Li, Dan Cao, Dongsheng Hou, Tingjun Nucleic Acids Res Database Issue Inhibitors that form covalent bonds with their targets have traditionally been considered highly adventurous due to their potential off-target effects and toxicity concerns. However, with the clinical validation and approval of many covalent inhibitors during the past decade, design and discovery of novel covalent inhibitors have attracted increasing attention. A large amount of scattered experimental data for covalent inhibitors have been reported, but a resource by integrating the experimental information for covalent inhibitor discovery is still lacking. In this study, we presented Covalent Inhibitor Database (CovalentInDB), the largest online database that provides the structural information and experimental data for covalent inhibitors. CovalentInDB contains 4511 covalent inhibitors (including 68 approved drugs) with 57 different reactive warheads for 280 protein targets. The crystal structures of some of the proteins bound with a covalent inhibitor are provided to visualize the protein–ligand interactions around the binding site. Each covalent inhibitor is annotated with the structure, warhead, experimental bioactivity, physicochemical properties, etc. Moreover, CovalentInDB provides the covalent reaction mechanism and the corresponding experimental verification methods for each inhibitor towards its target. High-quality datasets are downloadable for users to evaluate and develop computational methods for covalent drug design. CovalentInDB is freely accessible at http://cadd.zju.edu.cn/cidb/. Oxford University Press 2020-10-17 /pmc/articles/PMC7778999/ /pubmed/33068433 http://dx.doi.org/10.1093/nar/gkaa876 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Database Issue
Du, Hongyan
Gao, Junbo
Weng, Gaoqi
Ding, Junjie
Chai, Xin
Pang, Jinping
Kang, Yu
Li, Dan
Cao, Dongsheng
Hou, Tingjun
CovalentInDB: a comprehensive database facilitating the discovery of covalent inhibitors
title CovalentInDB: a comprehensive database facilitating the discovery of covalent inhibitors
title_full CovalentInDB: a comprehensive database facilitating the discovery of covalent inhibitors
title_fullStr CovalentInDB: a comprehensive database facilitating the discovery of covalent inhibitors
title_full_unstemmed CovalentInDB: a comprehensive database facilitating the discovery of covalent inhibitors
title_short CovalentInDB: a comprehensive database facilitating the discovery of covalent inhibitors
title_sort covalentindb: a comprehensive database facilitating the discovery of covalent inhibitors
topic Database Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7778999/
https://www.ncbi.nlm.nih.gov/pubmed/33068433
http://dx.doi.org/10.1093/nar/gkaa876
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