RNA 3D structure prediction guided by independent folding of homologous sequences.

ABSTRACT:

Background

The understanding of the importance of RNA has dramatically changed over recent years. As in the case of proteins, the function of an RNA molecule is encoded in its tertiary structure, which in turn is determined by the molecule's sequence. The prediction of tertiary structures of complex RNAs is still a challenging task.

Results

Using the observation that RNA sequences from the same RNA family fold into conserved structure, we test herein whether parallel modeling of RNA homologs can improve ab initio RNA structure prediction. EvoClustRNA is a multi-step modeling process, in which homologous sequences for the target sequence are selected using the Rfam database. Subsequently, independent folding simulations using Rosetta FARFAR and SimRNA are carried out. The mod

SUBMITTER: Magnus M 

PROVIDER: S-EPMC6806525 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature