RL-MLZerD: Multimeric protein docking using reinforcement learning.

ABSTRACT: Numerous biological processes in a cell are carried out by protein complexes. To understand the molecular mechanisms of such processes, it is crucial to know the quaternary structures of the complexes. Although the structures of protein complexes have been determined by biophysical experiments at a rapid pace, there are still many important complex structures that are yet to be determined. To supplement experimental structure determination of complexes, many computational protein docking methods have been developed; however, most of these docking methods are designed only for docking with two chains. Here, we introduce a novel method, RL-MLZerD, which builds multiple protein complexes using reinforcement learning (RL). In RL-MLZerD a multi-chain assembly process is considered as a series o

SUBMITTER: Aderinwale T 

PROVIDER: S-EPMC9459051 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature