Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/54417
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Type: Book chapter
Title: Simulation of HIV-1 molecular evolution in response to chemokine coreceptors and antibodies
Author: Da Silva, J.
Citation: Immunionformatics, 2008 / Flower, D. (ed./s), vol.9780387729688, pp.161-178
Publisher: Springer
Publisher Place: USA
Issue Date: 2008
Series/Report no.: Immunomics Reviews
ISBN: 9780387729671
Editor: Flower, D.
Statement of
Responsibility: 
Jack da Silva
Abstract: The form of the neutralizing antibody response to human immunodeficiency virus type 1 (HIV-1) and the evolutionary response by the virus are poorly understood. In order for a virus particle (virion) to infect a cell, exterior envelope glycoprotein (gp120) molecules on the virion’s surface must interact with receptors on the cell’s surface. Antibodies that bind to gp120 may neutralize a virion by interfering with these interactions. Therefore, gp120 is expected to evolve in response to selection by both cell-surface receptors and antibodies. The rate of such adaptation and the constraints imposed by a response to one selective force on the response to the other are unknown. Here, I describe a simulation modeling approach to these problems. The population of viral genomes infecting a single patient is represented by the intensely studied third variable (V3) region of gp120, the main determinant of which chemokine coreceptor a virion uses to enter a cell, and an important target of neutralizing antibodies. Mutation and recombination are applied by realistically simulating the viral replication cycle. Selection by chemokine coreceptors is simulated by taking advantage of the fact that mean site-specific amino acid frequencies are measures of the site-specific marginal fitnesses of amino acids in relation to coreceptor interactions. Selection by antibodies is imposed by simulating the affinity maturation of B-cell lineages that produce neutralizing antibodies to HIV-1 V3. These simulations make clear predictions about the functional cost of adaptation to antibody surveillance, which may help explain the pattern of chemokine coreceptor usage by HIV-1.
DOI: 10.1007/978-0-387-72968-8_9
Published version: http://dx.doi.org/10.1007/978-0-387-72968-8_9
Appears in Collections:Aurora harvest 5
Molecular and Biomedical Science publications

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