RsRNASP: A residue-separation-based statistical potential for RNA 3D structure evaluation.

ABSTRACT: Knowledge-based statistical potentials have been shown to be rather effective in protein 3-dimensional (3D) structure evaluation and prediction. Recently, several statistical potentials have been developed for RNA 3D structure evaluation, while their performances are either still at a low level for the test datasets from structure prediction models or dependent on the "black-box" process through neural networks. In this work, we have developed an all-atom distance-dependent statistical potential based on residue separation for RNA 3D structure evaluation, namely rsRNASP, which is composed of short- and long-ranged potentials distinguished by residue separation. The extensive examinations against available RNA test datasets show that rsRNASP has apparently higher performance than the existi

SUBMITTER: Tan YL 

PROVIDER: S-EPMC8758408 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature