Yan Kejia, He Wangqiu, Pang Mingwei, Lu Xufeng, Chen Zhou, Piao Lianhua, Zhang Han, Wang Yu, Chang Shan, Kong Ren
Institute of Bioinformatics and Medical Engineering, School of Electrical and Information Engineering, Jiangsu University of Technology, Changzhou 213001, China.
Primary Biotechnology Co., Ltd, Changzhou 213125, China.
Nucleic Acids Res. 2025 May 8. doi: 10.1093/nar/gkaf391.
Targeted protein degradation (TPD) has emerged as a promising therapeutic strategy for modulating protein levels in cells. Proteolysis-targeting chimeras and molecular glues facilitate the formation of a complex between the protein of interest (POI) and a specific E3 ligase, leading to POI ubiquitination and subsequent degradation by the proteasome. Considering over 600 E3s in the human genome, it is of great potential to find novel E3 binders and recruit new E3 ligase for TPD related drug discovery. Here we introduce E3Docker, an online computational tool for E3 binder discovery. A total of 1075 Homo sapiens E3 ligases are collected from databases and literature, and 4474 three-dimensional structures of these E3 ligases, in either apo or complex forms, are integrated into the web server. The druggable pockets for each E3 ligase are defined by experimentally bound ligand from PDB or predicted by using DeepPocket. CoDock-Ligand is employed as docking engine for potential E3 binder estimation. With a user-friendly interface, E3Docker facilitates the generation of binding poses and affinity scores for compounds with over 1000 kinds of E3 ligases and may benefit for novel E3 binder discovery. The E3Docker server and tutorials are freely available at https://e3docker.schanglab.org.cn/.
靶向蛋白质降解(TPD)已成为一种有前景的调节细胞内蛋白质水平的治疗策略。蛋白酶靶向嵌合体和分子胶促进了目标蛋白(POI)与特定E3连接酶之间复合物的形成,导致POI泛素化并随后被蛋白酶体降解。鉴于人类基因组中有600多种E3连接酶,寻找新型E3结合剂并为TPD相关药物发现招募新的E3连接酶具有巨大潜力。在此,我们介绍E3Docker,一种用于发现E3结合剂的在线计算工具。从数据库和文献中收集了总共1075种智人E3连接酶,并将这些E3连接酶的4474个三维结构(无论是无配体形式还是复合物形式)整合到网络服务器中。每个E3连接酶的可成药口袋由来自PDB的实验结合配体定义或通过使用DeepPocket预测。CoDock-Ligand用作对接引擎来估计潜在的E3结合剂。E3Docker具有用户友好的界面,便于生成与1000多种E3连接酶的化合物的结合姿势和亲和力得分,可能有助于发现新型E3结合剂。E3Docker服务器和教程可在https://e3docker.schanglab.org.cn/免费获取。