3dRNAscore: a distance and torsion angle dependent evaluation function of 3D RNA structures.

ABSTRACT: Model evaluation is a necessary step for better prediction and design of 3D RNA structures. For proteins, this has been widely studied and the knowledge-based statistical potential has been proved to be one of effective ways to solve this problem. Currently, a few knowledge-based statistical potentials have also been proposed to evaluate predicted models of RNA tertiary structures. The benchmark tests showed that they can identify the native structures effectively but further improvements are needed to identify near-native structures and those with non-canonical base pairs. Here, we present a novel knowledge-based potential, 3dRNAscore, which combines distance-dependent and dihedral-dependent energies. The benchmarks on different testing datasets all show that 3dRNAscore are more efficient

SUBMITTER: Wang J 

PROVIDER: S-EPMC4446410 | biostudies-literature | 2015 May

REPOSITORIES: biostudies-literature