Uncovering new families and folds in the natural protein universe.

ABSTRACT: We are now entering a new era in protein sequence and structure annotation, with hundreds of millions of predicted protein structures made available through the AlphaFold database¹. These models cover nearly all proteins that are known, including those challenging to annotate for function or putative biological role using standard homology-based approaches. In this study, we examine the extent to which the AlphaFold database has structurally illuminated this 'dark matter' of the natural protein universe at high predicted accuracy. We further describe the protein diversity that these models cover as an annotated interactive sequence similarity network, accessible at https://uniprot3d.org/atlas/AFDB90v4 . By searching for novelties from sequence, structure and semantic perspective

SUBMITTER: Durairaj J 

PROVIDER: S-EPMC10584680 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature