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Article

Mutation, fitness, viral diversity, and predictive markers of disease progression in a computational model of HIV type 1 infection.

AIDS research and human retroviruses - 1 Dec 2004

Castiglione Filippo, Poccia Fabrizio, D'Offizi Gianpiero, Bernaschi Massimo

Abstract excerpt

The aim of this study was to develop a computational model of HIV infection able to simulate the natural history of the disease and to test predictive parameters of disease progression. We describe the results of a numerical simulation of the cellular and humoral immune response to HIV-1 infection as an adaptive pathway in a "bit-string" space. A total of 650 simulations of the HIV-1 dynamics were performed with...

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Identifiers

PMID: 15650424
DOI: 10.1089/aid.2004.20.1314

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

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