A knowledge-based scoring function for protein-RNA interactions derived from a statistical mechanics-based iterative method.

ABSTRACT: Protein-RNA interactions play important roles in many biological processes. Given the high cost and technique difficulties in experimental methods, computationally predicting the binding complexes from individual protein and RNA structures is pressingly needed, in which a reliable scoring function is one of the critical components. Here, we have developed a knowledge-based scoring function, referred to as ITScore-PR, for protein-RNA binding mode prediction by using a statistical mechanics-based iterative method. The pairwise distance-dependent atomic interaction potentials of ITScore-PR were derived from experimentally determined protein-RNA complex structures. For validation, we have compared ITScore-PR with 10 other scoring methods on four diverse test sets. For bound docking, ITScore-PR

SUBMITTER: Huang SY 

PROVIDER: S-EPMC3985650 | biostudies-literature | 2014 Apr

REPOSITORIES: biostudies-literature