GlueFinder:一个数据驱动的框架,用于合理发现分子
Jeffrey Skolnick1, Bharath Srinivasan2,3,4,5, Hongyi Zhou1
1Center for the Study of Systems Biology, Georgia Institute of Technology, 950 Atlantic Dr NW, Atlanta, Georgia 30332, United States.
Journal of chemical information and modeling
|March 3, 2026
概括
我们开发了GlueFinder,这是一个用于发现向蛋白质降解的分子合物的计算平台. 这种无偏见的方法扩大了可以被招募的E3链酶的范围,使新的治疗策略成为可能.
科学领域:
- 生物化学 生物化学
- 结构生物信息学 结构生物信息学
- 药物发现 药物发现 药物发现
背景情况:
- 分子剂通过形成三元复合体来促进向蛋白质降解.
- 分子的合理设计受到界面识别和有限的E3结合酶使用的理解不足的阻碍.
研究的目的:
- 介绍GlueFinder,这是一个系统和公正的分子发现平台.
- 扩大可用于向蛋白质降解的E3链酶的目录.
- 实现蛋白质-蛋白质相互作用接口的合理准.
主要方法:
- 利用结构生物信息学来挖掘蛋白质数据库,寻找蛋白质接口附近的可连接口.
- 已验证的GlueFinder在已知的二维结构上使用现有的粘合剂.
- 将GlueFinder应用于EGFR,HER2和KRAS,以预测候选粘合物及其招募的E3酶.
主要成果:
- GlueFinder成功地确定了EGFR,HER2和KRAS的潜在粘合物,预测了分别招募24,111和148种不同的E3连接酶.
- 证明了GlueFinder能够促进具有多种蛋白质的非原生EGFR复合体的能力.
- 建立了一个计算策略,以优先考虑分子发现.
结论:
- GlueFinder为分子发现提供了一个通用的,以计算为指导的策略.
- 该平台将粘合剂设计与特定的结合酶依赖性和传统支架分开.
- 扩大可用于针对蛋白质降解的可用的E3酶谱.
相关概念视频
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Proteins are dynamic macromolecules that carry out a wide variety of essential processes; however, the activities of most proteins depend on their interactions with other molecules or ions, known as ligands.
Protein-ligand interactions are quite specific; even though numerous potential ligands surround a cellular protein at any given time, only a particular ligand can bind to that protein. Moreover, a ligand binds only to a dedicated area on the surface of the protein, known as the...
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