Limits in accuracy and a strategy of RNA structure prediction using experimental information.

ABSTRACT: RNA structural complexity and flexibility present a challenge for computational modeling efforts. Experimental information and bioinformatics data can be used as restraints to improve the accuracy of RNA tertiary structure prediction. Regarding utilization of restraints, the fundamental questions are: (i) What is the limit in prediction accuracy that one can achieve with arbitrary number of restraints? (ii) Is there a strategy for selection of the minimal number of restraints that would result in the best structural model? We address the first question by testing the limits in prediction accuracy using native contacts as restraints. To address the second question, we develop an algorithm based on the distance variation allowed by secondary structure (DVASS), which ranks restraints accordin

SUBMITTER: Wang J 

PROVIDER: S-EPMC6582333 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature