Detecting and understanding genetic and structural features in HIV-1 B subtype V3 underlying HIV-1 co-receptor usage

Bioinformatics. 2013 Feb 15;29(4):451-60. doi: 10.1093/bioinformatics/btt002. Epub 2013 Jan 6.

Abstract

Motivation: To define V3 genetic elements and structural features underlying different HIV-1 co-receptor usage in vivo.

Results: By probabilistically modeling mutations in the viruses isolated from HIV-1 B subtype patients, we present a unique statistical procedure that would first identify V3 determinants associated with the usage of different co-receptors cooperatively or independently, and then delineate the complicated interactions among mutations functioning cooperatively. We built a model based on dual usage of CXCR4 and CCR5 co-receptors. The molecular basis of our statistical predictions is further confirmed by phenotypic and molecular modeling analyses. Our results provide new insights on molecular basis of different HIV-1 co-receptor usage. This is critical to optimize the use of genotypic tropism testing in clinical practice and to obtain molecular-implication for design of vaccine and new entry-inhibitors.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Genotype
  • HIV Envelope Protein gp120 / chemistry
  • HIV Envelope Protein gp120 / genetics*
  • HIV Infections / virology
  • HIV-1 / classification
  • HIV-1 / genetics
  • HIV-1 / isolation & purification
  • Humans
  • Models, Statistical
  • Molecular Docking Simulation
  • Mutation
  • Receptors, CCR5 / chemistry*
  • Receptors, CXCR4 / chemistry*

Substances

  • HIV Envelope Protein gp120
  • Receptors, CCR5
  • Receptors, CXCR4
  • gp120 protein, Human immunodeficiency virus 1