Protein loop structure prediction by community-based deep learning and its application to antibody CDR H3 loop modeling.

ABSTRACT: As of now, more than 60 years have passed since the first determination of protein structures through crystallography, and a significant portion of protein structures can be predicted by computers. This is due to the groundbreaking enhancement in protein structure prediction achieved through neural network training utilizing extensive sequence and structure data. However, substantial challenges persist in structure prediction due to limited data availability, with antibody structure prediction standing as one such challenge. In this paper, we propose a novel neural network architecture that effectively enables structure prediction by reflecting the inherent combinatorial nature involved in protein structure formation. The core idea of this neural network architecture is not solely to track

SUBMITTER: Woo H 

PROVIDER: S-EPMC11226077 | biostudies-literature | 2024 Jun

REPOSITORIES: biostudies-literature