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AIDS Research and Human Retroviruses
A New Perspective on V3 Phenotype Prediction

To cite this article:
Satish Pillai, Benjamin Good, Douglas Richman, Jacques Corbeil. AIDS Research and Human Retroviruses. February 2003, 19(2): 145-149. doi:10.1089/088922203762688658.

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Satish Pillai
University of California, San Diego, La Jolla, California 92093
Benjamin Good
Veterans Administration, San Diego Healthcare System, San Diego, California 92161
Douglas Richman
University of California, San Diego, La Jolla, California 92093 and Veterans Administration, San Diego Healthcare System, San Diego, California 92161
Jacques Corbeil
University of California, San Diego, La Jolla, California 92093 and Veterans Administration, San Diego Healthcare System, San Diego, California 92161

The particular coreceptor used by a strain of HIV-1 to enter a host cell is highly indicative of its pathology. HIV-1 coreceptor usage is primarily determined by the amino acid sequences of the V3 loop region of the viral envelope glycoprotein. The canonical approach to sequence-based prediction of coreceptor usage was derived via statistical analysis of a less reliable and significantly smaller data set than is presently available. We aimed to produce a superior phenotypic classifier by applying modern machine learning (ML) techniques to the current database of V3 loop sequences with known phenotype. The trained classifiers along with the sequence data are available for public use at the supplementary website: http://genomiac2.ucsd.edu:8080/wetcat/v3.html

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