Design of an immunogen containing multidimensionally conserved and immunogenic parts of the HIV proteome

Despite decades of research, an effective HIV vaccine or cure has not yet been developed. An important reason is the virus's mutability, which allows it to rapidly evade human immune responses. Often, the virus also takes advantage of epistatic pathways to evolve escape mutations through compensatory effects that allow maintaining its fitness. We used a fitness landscape of HIV, which explicitly considers interactions between mutations, to design an immunogen that contains parts of the proteome that are "multidimensionally" conserved. Based on inferred fitness landscapes, these regions are predicted to be under mutational constraints. Our immunogen also incorporates predicted immunogenic regions and offers broad coverage for the Caucasian population. We further investigate the relative contributions of various proteins in our design and compare properties with other immunogens. We hope that our proposed immunogen will serve as a candidate for experimental evaluation in pre-clinical studies in T cell-based vaccine or immunotherapy contexts.

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Publication Details

Journal
PLoS Computational Biology
Published
2026-08-14
DOI
https://doi.org/10.1371/journal.pcbi.1014632
Primary Topic
vaccines and immunoinformatics approaches
Type
article
Field-Weighted Citation Impact
0.00

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article

Design of an immunogen containing multidimensionally conserved and immunogenic parts of the HIV proteome

Arup K. Chakraborty, Eric Wang
PLoS Computational Biology
vaccines and immunoinformatics approaches
article

Design of an immunogen containing multidimensionally conserved and immunogenic parts of the HIV proteome

Arup K. Chakraborty, Eric Wang
article en

Abstract

Despite decades of research, an effective HIV vaccine or cure has not yet been developed. An important reason is the virus's mutability, which allows it to rapidly evade human immune responses. Often, the virus also takes advantage of epistatic pathways to evolve escape mutations through compensatory effects that allow maintaining its fitness. We used a fitness landscape of HIV, which explicitly considers interactions between mutations, to design an immunogen that contains parts of the proteome that are "multidimensionally" conserved. Based on inferred fitness landscapes, these regions are predicted to be under mutational constraints. Our immunogen also incorporates predicted immunogenic regions and offers broad coverage for the Caucasian population. We further investigate the relative contributions of various proteins in our design and compare properties with other immunogens. We hope that our proposed immunogen will serve as a candidate for experimental evaluation in pre-clinical studies in T cell-based vaccine or immunotherapy contexts.

PLoS Computational BiologyVol. 22(8)
Ragon Institute of MGH, MIT and Harvard (US), Massachusetts Institute of Technology (US)
National Science Foundation, Ragon Institute of MGH, MIT and Harvard, National Institutes of Health
Good health and well-being
Openalex Percentile: Top 16%
vaccines and immunoinformatics approaches
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Design of an immunogen containing multidimensionally conserved and immunogenic parts of the HIV proteome — Arup K. Chakraborty, Eric Wang · PLoS Computational Biology (2026) | TGRS Research Map | TGRS