A comprehensive survey of scoring functions for protein docking models.

ABSTRACT:

Background

While protein-protein docking is fundamental to our understanding of how proteins interact, scoring protein-protein complex conformations is a critical component of successful docking programs. Without accurate and efficient scoring functions to differentiate between native and non-native binding complexes, the accuracy of current docking tools cannot be guaranteed. Although many innovative scoring functions have been proposed, a good scoring function for docking remains elusive. Deep learning models offer alternatives to using explicit empirical or mathematical functions for scoring protein-protein complexes.

Results

In this study, we perform a comprehensive survey of the state-of-the-art scoring functions by considering the most popular and highly performant app

SUBMITTER: Shirali A 

PROVIDER: S-EPMC11755896 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature