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Dataset Information

Complementarity of the residue-level protein function and structure predictions in human proteins.


ABSTRACT: Sequence-based predictors of the residue-level protein function and structure cover a broad spectrum of characteristics including intrinsic disorder, secondary structure, solvent accessibility and binding to nucleic acids. They were catalogued and evaluated in numerous surveys and assessments. However, methods focusing on a given characteristic are studied separately from predictors of other characteristics, while they are typically used on the same proteins. We fill this void by studying complementarity of a representative collection of methods that target different predictions using a large, taxonomically consistent, and low similarity dataset of human proteins. First, we bridge the gap between the communities that develop structure-trained vs. disorder-trained predictors of binding resi

SUBMITTER: Biro B 

PROVIDER: S-EPMC9118482 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature