Recent Advances in Protein Homology Detection Propelled by Inter-Residue Interaction Map Threading.

ABSTRACT: Sequence-based protein homology detection has emerged as one of the most sensitive and accurate approaches to protein structure prediction. Despite the success, homology detection remains very challenging for weakly homologous proteins with divergent evolutionary profile. Very recently, deep neural network architectures have shown promising progress in mining the coevolutionary signal encoded in multiple sequence alignments, leading to reasonably accurate estimation of inter-residue interaction maps, which serve as a rich source of additional information for improved homology detection. Here, we summarize the latest developments in protein homology detection driven by inter-residue interaction map threading. We highlight the emerging trends in distant-homology protein threading through the

SUBMITTER: Bhattacharya S 

PROVIDER: S-EPMC8148041 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature