Pan-cancer structurome reveals overrepresentation of beta sandwiches and underrepresentation of alpha helical domains.

ABSTRACT: The recent progress in the prediction of protein structures marked a historical milestone. AlphaFold predicted 200 million protein models with an accuracy comparable to experimental methods. Protein structures are widely used to understand evolution and to identify potential drug targets for the treatment of various diseases, including cancer. Thus, these recently predicted structures might convey previously unavailable information about cancer biology. Evolutionary classification of protein domains is challenging and different approaches exist. Recently our team presented a classification of domains from human protein models released by AlphaFold. Here we evaluated the pan-cancer structurome, domains from over and under expressed proteins in 21 cancer types, using the broadest levels of t

SUBMITTER: Medvedev KE 

PROVIDER: S-EPMC10368619 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature