Recent Progress of Protein Tertiary Structure Prediction.

ABSTRACT: The prediction of three-dimensional (3D) protein structure from amino acid sequences has stood as a significant challenge in computational and structural bioinformatics for decades. Recently, the widespread integration of artificial intelligence (AI) algorithms has substantially expedited advancements in protein structure prediction, yielding numerous significant milestones. In particular, the end-to-end deep learning method AlphaFold2 has facilitated the rise of structure prediction performance to new heights, regularly competitive with experimental structures in the 14th Critical Assessment of Protein Structure Prediction (CASP14). To provide a comprehensive understanding and guide future research in the field of protein structure prediction for researchers, this review describes various

SUBMITTER: Wuyun Q 

PROVIDER: S-EPMC10893003 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature