Modeling Virus- and Antibody-Specific Factors to Predict Human Immunodeficiency Virus Neutralization Efficiency

Efforts to prevent human immunodeficiency virus type 1 (HIV-1) infection would benefit from understanding the factors that govern virus neutralization by antibodies. We present a mechanistic model for HIV-1 neutralization that includes both virus and antibody parameters. Variations in epitope integr...

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Veröffentlicht in:Cell host & microbe 2013-11, Vol.14 (5), p.547-558
Hauptverfasser: Haim, Hillel, Salas, Ignacio, McGee, Kathleen, Eichelberger, Noah, Winter, Elizabeth, Pacheco, Beatriz, Sodroski, Joseph
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Sprache:eng
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Zusammenfassung:Efforts to prevent human immunodeficiency virus type 1 (HIV-1) infection would benefit from understanding the factors that govern virus neutralization by antibodies. We present a mechanistic model for HIV-1 neutralization that includes both virus and antibody parameters. Variations in epitope integrity on the viral envelope glycoprotein (Env) trimer and Env reactivity to bound antibody influence neutralization susceptibility. In addition, we define an antibody-specific parameter, the perturbation factor (PF), that describes the degree of conformational change in the Env trimer required for a given antibody to bind. Minimally perturbing (low-PF) antibodies can efficiently neutralize viruses with a broad range of Env reactivities due to fast on-rates and high affinity for Env. Highly perturbing (high-PF) antibodies inhibit only viruses with reactive (perturbation-sensitive) Envs, often through irreversible mechanisms. Accounting for these quantifiable viral and antibody-associated parameters helps to predict the observed profiles of HIV-1 neutralization by antibodies with a wide range of potencies. •Antibodies (Abs) differ in the degree of HIV-1 Env perturbation required for binding•Minimally perturbing Abs bind more efficiently and inhibit more effectively•Highly perturbing Abs mainly inhibit perturbation-sensitive reactive Envs•Integrating both Ab binding and perturbation improves predictions of HIV-1 inhibition
ISSN:1931-3128
1934-6069
DOI:10.1016/j.chom.2013.10.006