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ABSTRACT: Background
Statistical potentials, also named knowledge-based potentials, are scoring functions derived from empirical data that can be used to evaluate the quality of protein folds and protein-protein interaction (PPI) structures. In previous works we decomposed the statistical potentials in different terms, named Split-Statistical Potentials, accounting for the type of amino acid pairs, their hydrophobicity, solvent accessibility and type of secondary structure. These potentials have been successfully used to identify near-native structures in protein structure prediction, rank protein docking poses, and predict PPI binding affinities.Results
Here, we present the SPServer, a web server that applies the Split-Statistical Potentials to analyze protein folds and protein inte
SUBMITTER: Aguirre-Plans J
PROVIDER: S-EPMC7788957 | biostudies-literature | 2021 Jan
REPOSITORIES: biostudies-literature