Title
Mutational analysis in RNAs: comparing programs for RNA deleterious mutation prediction.
Abstract
Programs for RNA mutational analysis that are structure-based and rely on secondary structure prediction have been developed and expanded in the past several years. They can be used for a variety of purposes, such as in suggesting point mutations that will alter RNA virus replication or translation initiation, investigating the effect of deleterious and compensatory mutations in allosteric ribozymes and riboswitches, computing an optimal path of mutations to get from one ribozyme fold to another, or analyzing regulatory RNA sequences by their mutational profile. This review describes three different freeware programs (RNAMute, RDMAS and RNAmutants) that have been developed for such purposes. RNAMute and RDMAS in principle perform energy minimization prediction by available software such as RNAfold from the Vienna RNA package or Zuker's Mfold, while RNAmutants provides an efficient method using essential ingredients from energy minimization prediction. Both RNAMute in its extended version that uses RNAsubopt from the Vienna RNA package and the RNAmutants software are able to predict multiple-point mutations using developed methodologies, while RDMAS is currently restricted to single-point mutations. The strength of RNAMute in its extended version is the ability to predict a small number of point mutations in an accurate manner. RNAmutants is well fit for large scale simulations involving the calculation of all k-mutants, where k can be a large integer number, of a given RNA sequence.
Year
DOI
Venue
2011
10.1093/bib/bbq059
BRIEFINGS IN BIOINFORMATICS
Keywords
Field
DocType
RNA mutational analysis,RNA secondary structure prediction
Small number,RNA,Ribozyme,Biology,Riboswitch,RNA virus,Point mutation,Eukaryotic translation,Bioinformatics,Genetics,Mutation
Journal
Volume
Issue
ISSN
12
2
1467-5463
Citations 
PageRank 
References 
8
0.83
18
Authors
2
Name
Order
Citations
PageRank
Danny Barash126524.21
Alexander Churkin2776.50