bbcontacts: prediction of β -strand pairing from direct coupling patterns
Author(s) -
Jessica Andréani,
Johannes Söding
Publication year - 2015
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/btv041
Subject(s) - indel , antiparallel (mathematics) , protein secondary structure , computer science , hidden markov model , markov chain , precision and recall , algorithm , multiple sequence alignment , set (abstract data type) , software , sequence alignment , pattern recognition (psychology) , biological system , computational biology , data mining , physics , biology , artificial intelligence , genetics , peptide sequence , machine learning , gene , nuclear magnetic resonance , quantum mechanics , genotype , single nucleotide polymorphism , magnetic field , programming language
It has recently become possible to build reliable de novo models of proteins if a multiple sequence alignment (MSA) of at least 1000 homologous sequences can be built. Methods of global statistical network analysis can explain the observed correlations between columns in the MSA by a small set of directly coupled pairs of columns. Strong couplings are indicative of residue-residue contacts, and from the predicted contacts a structure can be computed. Here, we exploit the structural regularity of paired β-strands that leads to characteristic patterns in the noisy matrices of couplings. The β-β contacts should be detected more reliably than single contacts, reducing the required number of sequences in the MSAs.
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