Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Modeling sequence evolution in HIV-1 infection with recombination.

Journal of theoretical biology - 21 Jul 2013

Giorgi Elena E, Korber Bette T, Perelson Alan S, Bhattacharya Tanmoy

Abstract excerpt

Previously we proposed two simplified models of early HIV-1 evolution. Both showed that under a model of neutral evolution and exponential growth, the mean Hamming distance (HD) between genetic sequences grows linearly with time. In this paper we describe a more realistic continuous-time, age-dependent mathematical model of infection and viral replication, and show through simulations that even in this more...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Acute Disease
Share to Evolution, Molecular
Share to HIV-1

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to HIV Infections

Share to Models, Genetic

Share to Recombination, Genetic

Share to Time Factors

Share to Virus Replication

Source

Open in PubMed Open full text

Identifiers

PMID: 23567647
DOI: 10.1016/j.jtbi.2013.03.026
PMCID: PMC3667750

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 5 Sept 2026. Manifest publication-graph-cohort-2026-09-05.1.

Source receipt: pubmed, retrieved 5 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Modeling sequence evolution in HIV-1 infection with recombination.PMID 23567647Read ↗

Recent advances in understanding HIV evolutionSemantic proximity Read ↗

Recombination in HIV: An Important Viral Evolutionary StrategySemantic proximity Read ↗

Taking multiple infections of cells and recombination into account leads to small within-host effective-population-size estimates of HIV-1.Semantic proximity Read ↗

Elevated viral recombination in short-lived hostsSemantic proximity Read ↗

Modeling sequence evolution in acute HIV-1 infection.Semantic proximity Read ↗

Recombination Enhances HIV-1 Envelope Diversity by Facilitating the Survival of Latent Genomic Fragments in the Plasma Virus Population.Semantic proximity Read ↗

Recombination in HIV-1Semantic proximity Read ↗

Error catastrophe in populations under similarity-essential recombination.Semantic proximity Read ↗

Recombination elevates the effective evolutionary rate and facilitates the establishment of HIV-1 infection in infants after mother-to-child transmission.Semantic proximity Read ↗

Recombination and drug resistance in HIV: population dynamics and stochasticity.Semantic proximity Read ↗

Emergence of recombinant forms of HIV: dynamics and scaling.Semantic proximity Read ↗

A genetic-algorithm approach to simulating human immunodeficiency virus evolution reveals the strong impact of multiply infected cells and recombination.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.