Evidence map›Paper›PMID 36493468›Full record

ArticleThe journal of physical chemistry. B2022

Contingency and Entrenchment of Drug-Resistance Mutations in HIV Viral Proteins.

Indrani Choudhuri, Avik Biswas, Allan Haldane, Ronald M Levy

Open access · greenAbstract read
In one paragraph

Article in The journal of physical chemistry. B, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.7field-weighted citation impact, top 26% 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

8 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Machine learning in biological physics: From biomolecular prediction to design.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  6. Kinetic coevolutionary models predict the temporal emergence of HIV-1 resistance mutations under drug selection pressure.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  7. Review
  8. In vivo functional phenotypes from a computational epistatic model of evolution.Proceedings of the National Academy of Sciences of the United States of America · 2024
    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

4 authors at 1 institution in 1 country.

Indrani ChoudhuriDepartment of Chemistry, Temple University, Philadelphia, Pennsylvania19122, United States.ORCID 0000-0002-5829-4625
Avik BiswasCenter for Biophysics and Computational Biology, Temple University, Philadelphia, Pennsylvania19122, United States.
Allan HaldaneCenter for Biophysics and Computational Biology, Temple University, Philadelphia, Pennsylvania19122, United States.
Ronald M LevyDepartment of Chemistry, Temple University, Philadelphia, Pennsylvania19122, United States.ORCID 0000-0001-8696-5177
Temple University · US

Funding

Structural Biology CoreU54AI170855 · NIAID · SEATTLE CHILDREN'S HOSPITAL · PI Stefan G Sarafianos, Bruce Edward Torbett · 2022 to 2026
$36.7M
X-ray Crystallographic Fragment Screening CoreU54AI150472 · NIAID · SEATTLE CHILDREN'S HOSPITAL · PI LYUMKIS, DMITRY · 2019 to 2021
$15.7M
Mapping Fitness & Free Energy Landscapes of ProteinsR35GM132090 · NIGMS · TEMPLE UNIV OF THE COMMONWEALTH · PI Ronald Levy · 2019 to 2026
$3.2M
Computer Cluster for Computational Biology and BiophysicsS10OD020095 · OD · TEMPLE UNIV OF THE COMMONWEALTH · PI LEVY, RONALD · 2015 to 2015
$442k
NIAID NIH HHS U54 AI150472NIAID NIH HHS U54 AI170855NIGMS NIH HHS R35 GM132090NIH HHS S10 OD020095
6 · The paper itself

Abstract

The ability of HIV-1 to rapidly mutate leads to antiretroviral therapy (ART) failure among infected patients. Drug-resistance mutations (DRMs), which cause a fitness penalty to intrinsic viral fitness, are compensated by accessory mutations with favorable epistatic interactions which cause an evolutionary trapping effect, but the kinetics of this overall process has not been well characterized. Here, using a Potts Hamiltonian model describing epistasis combined with kinetic Monte Carlo simulations of evolutionary trajectories, we explore how epistasis modulates the evolutionary dynamics of HIV DRMs. We show how the occurrence of a drug-resistance mutation is contingent on favorable epistatic interactions with many other residues of the sequence background and that subsequent mutations entrench DRMs. We measure the time-autocorrelation of fluctuations in the likelihood of DRMs due to epistatic coupling with the sequence background, which reveals the presence of two evolutionary processes controlling DRM kinetics with two distinct time scales. Further analysis of waiting times for the evolutionary trapping effect to reverse reveals that the sequences which entrench (trap) a DRM are responsible for the slower time scale. We also quantify the overall strength of epistatic effects on the evolutionary kinetics for different mutations and show these are much larger for DRM positions than polymorphic positions, and we also show that trapping of a DRM is often caused by the collective effect of many accessory mutations, rather than a few strongly coupled ones, suggesting the importance of multiresidue sequence variations in HIV evolution. The analysis presented here provides a framework to explore the kinetic pathways through which viral proteins like HIV evolve under drug-selection pressure.

Indexed as

HIV-1HIV InfectionsDrug Resistance, ViralHumansKineticsMutation

Identifiers

PMID36493468
PMCPMC9841799
OpenAlexW4311019081

What OpenQuestion holds

Textmetadata
LicenceTDM
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.