Deep Learning in Protein Structural Modeling and Design.

ABSTRACT: Deep learning is catalyzing a scientific revolution fueled by big data, accessible toolkits, and powerful computational resources, impacting many fields, including protein structural modeling. Protein structural modeling, such as predicting structure from amino acid sequence and evolutionary information, designing proteins toward desirable functionality, or predicting properties or behavior of a protein, is critical to understand and engineer biological systems at the molecular level. In this review, we summarize the recent advances in applying deep learning techniques to tackle problems in protein structural modeling and design. We dissect the emerging approaches using deep learning techniques for protein structural modeling and discuss advances and challenges that must be addressed. We a

SUBMITTER: Gao W 

PROVIDER: S-EPMC7733882 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature