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Kinetic coevolutionary models predict the temporal emergence of HIV-1 resistance mutations under drug selection pressure

Proceedings of the National Academy of Sciences(2024)10.1073/pnas.2316662121Source: DataRank Database

Kinetic coevolutionary models predict the temporal emergence of HIV-1 resistance mutations under drug selection pressure is a research paper published in Proceedings of the National Academy of Sciences (2024). On theSindex it has a DataRank of 0. It has been cited 18 times.

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Open Access18 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (17 grants)Impact (FWCI 4.06)OA: hybridTopics (48)IDs (PubMed, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (6)

Indrani Choudhuri ORCID,Eddy Arnold ORCID,Dmitry Lyumkis ORCID,Allan Haldane ORCID,Ronald M. Levy ORCID

Live enrichment

PubMed:38557187 OpenAlex:https://openalex.org/W4393393640

HHS | National Institutes of Health

Grant: U01 AI36680 R01 AI178849 S10OD020095

National Science Foundation

Grant: 1934848

Collaborative Research: GCR: Understanding Epistasis: the Key for Genotype to Phenotype Mapping

HHS | National Institutes of Health

Grant: U54 AI150472 R01 AI027690

HHS | National Institutes of Health

Grant: U54 AI150472 U01 AI136680 R01 AI146017

National Institutes of Health

Grant: 2R01AI027690-06

STRUCTURES OF HIV REVERSE TRANSCRIPTASE WITH SUBSTRATES

National Institutes of Health

Grant: 5R01AI178849-03

Mechanisms of HIV fitness and drug resistance inferred from high-resolution molecular dynamics and sequence co-variation models

National Institutes of Health

Grant: 1S10OD020095-01

Computer Cluster for Computational Biology and Biophysics

National Institutes of Health

Grant: 4U01AI136680-09

Structural basis for activity of and resistance to HIV integrase inhibitors

National Institutes of Health

Grant: 7U54AI150472-10

HIV Interactions In Viral Evolution

National Institutes of Health

Grant: 5R01AI146017-02

Novel mechanism of integrase (IN) resistance to Dolutegravir through epistatic interactions between IN and the nucleocapsid and polypurine tract regions of HIV-1

NIAID NIH HHS

Grant: R01 AI178849

NIAID NIH HHS

Grant: R01 AI027690

NIAID NIH HHS

Grant: U54 AI170855

NIAID NIH HHS

Grant: U01 AI136680

NIH HHS

Grant: S10 OD020095

NIAID NIH HHS

Grant: R01 AI146017

NIAID NIH HHS

Grant: U54 AI150472

FWCI

4.06

Citation Percentile

0.9%

Citation Trend

2024

2025

2026

hybridLicense: cc-by-nc-nd

journalhttps://www.pnas.org/doi/pdf/10.1073/pnas.2316662121

publisherhttps://www.pnas.org/doi/pdf/10.1073/pnas.2316662121

publisherhttps://pnas.org/doi/pdf/10.1073/pnas.2316662121

journalhttps://doi.org/10.1073/pnas.2316662121

repositoryhttps://pubmed.ncbi.nlm.nih.gov/38557187

Fields of Study

HIV Research and TreatmentHIV/AIDS drug development and treatmentEvolution and Genetic Dynamics0301 basic medicine0303 health sciences03 medical and health sciencesHumansHIV-1Drug Resistance, ViralGenotypeHIV InfectionsHIV SeropositivityMutationAnti-HIV Agents

MeSH Terms

GenotypeHIV SeropositivityHumansMutationHIV-1HIV InfectionsAnti-HIV AgentsDrug Resistance, Viral

Keywords

EpistasisBiologyDrug resistanceComputational biologyGeneticsHuman immunodeficiency virus (HIV)DrugVirologyGenePharmacology570GenotypeAnti-HIV AgentsHIVkinetic Monte-Carlo (KMC)HIV InfectionsBiological Sciencestimeline of resistance616Drug Resistance, ViralHIV SeropositivityMutationHIV-1Humansdrug-resistance mutation (DRM)Viral

Sustainable Development Goals

SDG 0: Good health and well-being