ArticlePLoS computational biology2010
Estimating the stoichiometry of HIV neutralization.
Article in PLoS computational biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed, 33 citations in OpenAlex.
- IFITM1 and IFITM3 Proteins Inhibit the Infectivity of Progeny HIV-1 without Disrupting Envelope Glycoprotein Clusters.Viruses · 2023Article
- Review
- Modeling the immune response to HIV infection.Current opinion in systems biology · 2018Article
- Estimating treatment prolongation for persistent infections.Pathogens and disease · 2018Article
- Dense Array of Spikes on HIV-1 Virion Particles.Journal of virology · 2017Article
- Predicting HIV-1 transmission and antibody neutralization efficacy in vivo from stoichiometric parameters.PLoS pathogens · 2017Article
- Delineating CD4 dependency of HIV-1: Adaptation to infect low level CD4 expressing target cells widens cellular tropism but severely impacts on envelope functionality.PLoS pathogens · 2017Article
- Using Computational Modeling To Optimize the Design of Antibodies That Trap Viruses in Mucus.ACS infectious diseases · 2016Article
- Mathematical model of multivalent virus-antibody complex formation in humans following acute and chronic HIV infections.Journal of mathematical biology · 2015Article
- Molecular determinants of the ratio of inert to infectious virus particles.Progress in molecular biology and translational science · 2015Review
- Different infectivity of HIV-1 strains is linked to number of envelope trimers required for entry.PLoS pathogens · 2015Article
- Differential binding of neutralizing and non-neutralizing antibodies to native-like soluble HIV-1 Env trimers, uncleaved Env proteins, and monomeric subunits.Retrovirology · 2014Article
- Transient antibody-mucin interactions produce a dynamic molecular shield against viral invasion.Biophysical journal · 2014Article
- Estimating the probability of polyreactive antibodies 4E10 and 2F5 disabling a gp41 trimer after T cell-HIV adhesion.PLoS computational biology · 2014Article
- Article
- Virus neutralisation: new insights from kinetic neutralisation curves.PLoS computational biology · 2013Article
- How do antigenically varying pathogens avoid cross-reactive responses to invariant antigens?Proceedings. Biological sciences · 2012Article
- Article
- Analysis of the subunit stoichiometries in viral entry.PloS one · 2012Article
- Intraprotomer masking of third variable loop (V3) epitopes by the first and second variable loops (V1V2) within the native HIV-1 envelope glycoprotein trimer.Proceedings of the National Academy of Sciences of the United States of America · 2011Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
HIV-1 virions infect target cells by first establishing contact between envelope glycoprotein trimers on the virion's surface and CD4 receptors on a target cell, recruiting co-receptors, fusing with the cell membrane and finally releasing the genetic material into the target cell. Specific experimental setups allow the study of the number of trimer-receptor-interactions needed for infection, i.e., the stoichiometry of entry and also the number of antibodies needed to prevent one trimer from engaging successfully in the entry process, i.e., the stoichiometry of (trimer) neutralization. Mathematical models are required to infer the stoichiometric parameters from these experimental data. Recently, we developed mathematical models for the estimations of the stoichiometry of entry [1]. In this article, we show how our models can be extended to investigate the stoichiometry of trimer neutralization. We study how various biological parameters affect the estimate of the stoichiometry of neutralization. We find that the distribution of trimer numbers-which is also an important determinant of the stoichiometry of entry-influences the estimated value of the stoichiometry of neutralization. In contrast, other parameters, which characterize the experimental system, diminish the information we can extract from the data about the stoichiometry of neutralization, and thus reduce our confidence in the estimate. We illustrate the use of our models by re-analyzing previously published data on the neutralization sensitivity [2], which contains measurements of neutralization sensitivity of viruses with different envelope proteins to antibodies with various specificities. Our mathematical framework represents the formal basis for the estimation of the stoichiometry of neutralization. Together with the stoichiometry of entry, the stoichiometry of trimer neutralization will allow one to calculate how many antibodies are required to neutralize a virion or even an entire population of virions.
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