NASP: a parallel program for identifying evolutionarily conserved nucleic acid secondary structures from nucleotide sequence alignments
Author(s) -
Jean-Yves Semegni,
Mark Wamalwa,
Renaud Gaujoux,
Gordon W. Harkins,
A.H. Gray,
Darren P. Martin
Publication year - 2011
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btr417
Subject(s) - protein secondary structure , nucleic acid , computational biology , conserved sequence , biology , nucleic acid structure , nucleic acid secondary structure , sequence (biology) , sequence alignment , multiple sequence alignment , relevance (law) , base pair , computer science , genetics , base sequence , rna , peptide sequence , dna , biochemistry , gene , political science , law
Many natural nucleic acid sequences have evolutionarily conserved secondary structures with diverse biological functions. A reliable computational tool for identifying such structures would be very useful in guiding experimental analyses of their biological functions. NASP (Nucleic Acid Structure Predictor) is a program that takes into account thermodynamic stability, Boltzmann base pair probabilities, alignment uncertainty, covarying sites and evolutionary conservation to identify biologically relevant secondary structures within multiple sequence alignments. Unique to NASP is the consideration of all this information together with a recursive permutation-based approach to progressively identify and list the most conserved probable secondary structures that are likely to have the greatest biological relevance. By focusing on identifying only evolutionarily conserved structures, NASP forgoes the prediction of complete nucleotide folds but outperforms various other secondary structure prediction methods in its ability to selectively identify actual base pairings.
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