Evidence map›Paper›PMID 35442968›Full record

ArticlePLoS computational biology2022

Multiscale affinity maturation simulations to elicit broadly neutralizing antibodies against HIV.

Simone Conti, Victor Ovchinnikov, Jonathan G Faris, Arup K Chakraborty, Martin Karplus, Kayla G Sprenger

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.0field-weighted citation impact, top 21% of its field
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

12 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Retrospective SARS-CoV-2 human antibody development trajectories are largely sparse and permissive.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
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

6 authors at 3 institutions in 2 countries.

Simone ContiDepartment of Chemistry and Chemical Biology, Harvard, Cambridge, Massachusetts, United States of America.ORCID 0000-0001-7986-567X
Victor OvchinnikovDepartment of Chemistry and Chemical Biology, Harvard, Cambridge, Massachusetts, United States of America.
Jonathan G FarisDepartment of Chemical and Biological Engineering, University of Colorado Boulder, Boulder, Colorado, United States of America.
Arup K ChakrabortyInstitute for Medical Engineering and Science, Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts, United States of America.ORCID 0000-0003-1268-9602
Martin KarplusDepartment of Chemistry and Chemical Biology, Harvard, Cambridge, Massachusetts, United States of America.
Kayla G SprengerDepartment of Chemical and Biological Engineering, University of Colorado Boulder, Boulder, Colorado, United States of America.ORCID 0000-0002-7505-7920
Harvard University · USUniversity of Colorado Boulder · USRagon Institute of MGH, MIT and Harvard · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The design of vaccines against highly mutable pathogens, such as HIV and influenza, requires a detailed understanding of how the adaptive immune system responds to encountering multiple variant antigens (Ags). Here, we describe a multiscale model of B cell receptor (BCR) affinity maturation that employs actual BCR nucleotide sequences and treats BCR/Ag interactions in atomistic detail. We apply the model to simulate the maturation of a broadly neutralizing Ab (bnAb) against HIV. Starting from a germline precursor sequence of the VRC01 anti-HIV Ab, we simulate BCR evolution in response to different vaccination protocols and different Ags, which were previously designed by us. The simulation results provide qualitative guidelines for future vaccine design and reveal unique insights into bnAb evolution against the CD4 binding site of HIV. Our model makes possible direct comparisons of simulated BCR populations with results of deep sequencing data, which will be explored in future applications.

Indexed as

AIDS VaccinesHIV-1HIV InfectionsAntibodies, NeutralizingBroadly Neutralizing AntibodiesHIV AntibodiesHumansAIDS VaccinesAntibodies, NeutralizingBroadly Neutralizing AntibodiesHIV Antibodies

Identifiers

PMID35442968
PMCPMC9020693
OpenAlexW4225365060

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.