Laboratory of Protein Metabolism, International Institute of Molecular and Cell Biology in Warsaw, 4 Ks. Trojdena Str., 02-109 Warsaw, Poland.
Laboratory of Bioinformatics and Protein Engineering, International Institute of Molecular and Cell Biology in Warsaw, 4 Ks. Trojdena Str., 02-109 Warsaw, Poland.
Nucleic Acids Res. 2024 Jul 5;52(W1):W221-W232. doi: 10.1093/nar/gkae238.
E3 ubiquitin ligases recognize substrates through their short linear motifs termed degrons. While degron-signaling has been a subject of extensive study, resources for its systematic screening are limited. To bridge this gap, we developed DEGRONOPEDIA, a web server that searches for degrons and maps them to nearby residues that can undergo ubiquitination and disordered regions, which may act as protein unfolding seeds. Along with an evolutionary assessment of degron conservation, the server also reports on post-translational modifications and mutations that may modulate degron availability. Acknowledging the prevalence of degrons at protein termini, DEGRONOPEDIA incorporates machine learning to assess N-/C-terminal stability, supplemented by simulations of proteolysis to identify degrons in newly formed termini. An experimental validation of a predicted C-terminal destabilizing motif, coupled with the confirmation of a post-proteolytic degron in another case, exemplifies its practical application. DEGRONOPEDIA can be freely accessed at degronopedia.com.
E3 泛素连接酶通过其短线性基序(称为降解基序)识别底物。虽然降解基序信号已经是广泛研究的课题,但用于其系统筛选的资源有限。为了弥补这一差距,我们开发了 DEGRONOPEDIA,这是一个网络服务器,用于搜索降解基序,并将其映射到附近可能发生泛素化和无序区域的残基,这些区域可能充当蛋白质展开的种子。除了对降解基序保守性的进化评估外,该服务器还报告了可能调节降解基序可用性的翻译后修饰和突变。考虑到降解基序在蛋白质末端的普遍性,DEGRONOPEDIA 采用机器学习来评估 N-/C-末端稳定性,并通过模拟蛋白水解来识别新形成末端的降解基序。对预测的 C-末端不稳定基序的实验验证,加上对另一种情况下的蛋白水解后降解基序的确认,就是其实际应用的一个例子。DEGRONOPEDIA 可在 degronopedia.com 上免费访问。