Twenty years of advances in prediction of nucleic acid-binding residues in protein sequences.

ABSTRACT: Computational prediction of nucleic acid-binding residues in protein sequences is an active field of research, with over 80 methods that were released in the past 2 decades. We identify and discuss 87 sequence-based predictors that include dozens of recently published methods that are surveyed for the first time. We overview historical progress and examine multiple practical issues that include availability and impact of predictors, key features of their predictive models, and important aspects related to their training and assessment. We observe that the past decade has brought increased use of deep neural networks and protein language models, which contributed to substantial gains in the predictive performance. We also highlight advancements in vital and challenging issues that include c

SUBMITTER: Basu S 

PROVIDER: S-EPMC11745544 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature