Song Qi, Zeng Lingyu, Zheng Qiang, Liu Sen
Cooperative Innovation Center of Industrial Fermentation (Ministry of Education & Hubei Province) & Key Laboratory of Fermentation Engineering (Ministry of Education), Hubei University of Technology, Wuhan 430068, China.
Hubei Key Laboratory of Industrial Microbiology & National "111" Center for Cellular Regulation and Molecular Pharmaceutics, Hubei University of Technology, Wuhan 430068, China.
ACS Omega. 2023 Mar 6;8(11):10397-10402. doi: 10.1021/acsomega.2c08147. eCollection 2023 Mar 21.
Covalent drugs have been intentionally discarded historically due to the concern of off-target side effects, but the past decade has seen a fast resurgence of the discovery of covalent drugs. Compared to noncovalent ligands, covalent ligands might have better biochemical efficiency, lower patient burden, less dosing frequency, less drug resistance, and improved target specificity.
Previously, we proposed the steric-clashes alleviating receptor (SCAR) strategy for screening and repurposing covalent inhibitors. To help the discovery of covalent ligands targeting protein targets, we have developed a web server dedicated to providing the SCARdock protocol to general users. Along with this server, we presented three high-quality data sets for the discovery of covalent ligands: a manually curated data set containing 954 high-quality complex structures of covalent ligands and proteins, a manually curated data set of 68 experimentally confirmed covalent warheads targeting 11 different residues, and a prefiltered, classified, and ready-to-use data set of 690,018 entries of purchasable virtual compounds containing these experimentally verified warheads.
The SCARdock server and the accompanied data sets would be of great value to the discovery of covalent ligands and are available freely at http://www.liugroup.site/scardock/ or https://scardock.com.
由于对脱靶副作用的担忧,共价药物在历史上曾被有意摒弃,但在过去十年中,共价药物的发现迅速复苏。与非共价配体相比,共价配体可能具有更好的生化效率、更低的患者负担、更少的给药频率、更低的耐药性以及更高的靶点特异性。
此前,我们提出了用于筛选和重新利用共价抑制剂的空间冲突缓解受体(SCAR)策略。为了助力发现靶向蛋白质靶点的共价配体,我们开发了一个网络服务器,专门为普通用户提供SCARdock协议。连同这个服务器,我们展示了三个用于发现共价配体的高质量数据集:一个人工整理的包含954个共价配体与蛋白质高质量复合物结构的数据集、一个人工整理的包含针对11个不同残基的68个经实验确认的共价弹头的数据集,以及一个经过预筛选、分类且可供使用的包含这些经实验验证弹头的690,018个可购买虚拟化合物条目的数据集。
SCARdock服务器及附带的数据集对于共价配体的发现具有重要价值,可在http://www.liugroup.site/scardock/ 或https://scardock.com免费获取。