ArticlePloS one2007
Distinguishing functional amino acid covariation from background linkage disequilibrium in HIV protease and reverse transcriptase.
Article in PloS one, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 20 citations in OpenAlex.
- Antagonism of PP2A is an independent and conserved function of HIV-1 Vif and causes cell cycle arrest.eLife · 2020Article
- A New Strategy to Reduce Influenza Escape: Detecting Therapeutic Targets Constituted of Invariance Groups.Viruses · 2017Article
- Strong Selection Significantly Increases Epistatic Interactions in the Long-Term Evolution of a Protein.PLoS genetics · 2016Article
- CoVaMa: Co-Variation Mapper for disequilibrium analysis of mutant loci in viral populations using next-generation sequence data.Methods (San Diego, Calif.) · 2015Article
- Synthetic lethals in HIV: ways to avoid drug resistance : Running title: Preventing HIV resistance.Biology direct · 2015Article
- Deep sequencing of protease inhibitor resistant HIV patient isolates reveals patterns of correlated mutations in Gag and protease.PLoS computational biology · 2015Article
- A multifaceted analysis of HIV-1 protease multidrug resistance phenotypes.BMC bioinformatics · 2011Article
- Prevalence of epistasis in the evolution of influenza A surface proteins.PLoS genetics · 2011Article
- Correlated evolution of nearby residues in Drosophilid proteins.PLoS genetics · 2011Article
- Pairwise and higher-order correlations among drug-resistance mutations in HIV-1 subtype B protease.BMC bioinformatics · 2009Article
- Article
- Evidence of a novel RNA secondary structure in the coding region of HIV-1 pol gene.RNA (New York, N.Y.) · 2008Article
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Correlated amino acid mutation analysis has been widely used to infer functional interactions between different sites in a protein. However, this analysis can be confounded by important phylogenetic effects broadly classifiable as background linkage disequilibrium (BLD). We have systematically separated the covariation induced by selective interactions between amino acids from background LD, using synonymous (S) vs. amino acid (A) mutations. Covariation between two amino acid mutations, (A,A), can be affected by selective interactions between amino acids, whereas covariation within (A,S) pairs or (S,S) pairs cannot. Our analysis of the pol gene--including the protease and the reverse transcriptase genes--in HIV reveals that (A,A) covariation levels are enormously higher than for either (A,S) or (S,S), and thus cannot be attributed to phylogenetic effects. The magnitude of these effects suggests that a large portion of (A,A) covariation in the HIV pol gene results from selective interactions. Inspection of the most prominent (A,A) interactions in the HIV pol gene showed that they are known sites of independently identified drug resistance mutations, and physically cluster around the drug binding site. Moreover, the specific set of (A,A) interaction pairs was reproducible in different drug treatment studies, and vanished in untreated HIV samples. The (S,S) covariation curves measured a low but detectable level of background LD in HIV.
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