Title
Analysis of correlated mutations in HIV-1 protease using spectral clustering.
Abstract
The ability of human immunodeficiency virus-1 (HIV-1) protease to develop mutations that confer multi-drug resistance (MDR) has been a major obstacle in designing rational therapies against HIV. Resistance is usually imparted by a cooperative mechanism that can be elucidated by a covariance analysis of sequence data. Identification of such correlated substitutions of amino acids may be obscured by evolutionary noise.HIV-1 protease sequences from patients subjected to different specific treatments (set 1), and from untreated patients (set 2) were subjected to sequence covariance analysis by evaluating the mutual information (MI) between all residue pairs. Spectral clustering of the resulting covariance matrices disclosed two distinctive clusters of correlated residues: the first, observed in set 1 but absent in set 2, contained residues involved in MDR acquisition; and the second, included those residues differentiated in the various HIV-1 protease subtypes, shortly referred to as the phylogenetic cluster. The MDR cluster occupies sites close to the central symmetry axis of the enzyme, which overlap with the global hinge region identified from coarse-grained normal-mode analysis of the enzyme structure. The phylogenetic cluster, on the other hand, occupies solvent-exposed and highly mobile regions. This study demonstrates (i) the possibility of distinguishing between the correlated substitutions resulting from neutral mutations and those induced by MDR upon appropriate clustering analysis of sequence covariance data and (ii) a connection between global dynamics and functional substitution of amino acids.
Year
DOI
Venue
2008
10.1093/bioinformatics/btn110
Bioinformatics
Keywords
Field
DocType
sequence covariance analysis,appropriate clustering analysis,correlated substitution,hiv-1 protease,covariance analysis,mdr acquisition,phylogenetic cluster,correlated mutation,mdr cluster,spectral clustering,amino acid,coarse-grained normal-mode analysis,covariance matrix,normal mode analysis,mutual information,cluster analysis,enzyme
Sequence alignment,Phylogenetic tree,Biology,Neutral mutation,HIV-1 protease,Protease,Bioinformatics,Genetics,Cluster analysis,Mutation,Covariance
Journal
Volume
Issue
ISSN
24
10
1367-4811
Citations 
PageRank 
References 
5
0.55
5
Authors
3
Name
Order
Citations
PageRank
Ying Liu150.55
Eran Eyal211711.44
Ivet Bahar336139.41