Evidence map›Paper›PMID 42599953›Full record

ArticlePLoS computational biology2026

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

Eric Wang, Arup K Chakraborty

Abstract read
In one paragraph

Article in PLoS computational biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Eric WangInstitute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America.
Arup K ChakrabortyInstitute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America.ORCID 0000-0003-1268-9602

Funding

Combinatorial and computational design of bnAb mRNA vaccines for HIVR33AI161805 · NIAID · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI ANDERSON, DANIEL G · 2024 to 2025
$1.5M
NIAID NIH HHS R33 AI161805
6 · The paper itself

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.

Indexed as

AIDS VaccinesHIVProteomeComputational BiologyHIV InfectionsHumansMutationAIDS VaccinesProteome

Identifiers

PMID42599953
PMCPMC13492788

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.