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Improved Prediction of Ligand–Protein Binding Affinities by Meta-modeling

Journal of Chemical Information and Modeling(2024)10.1021/acs.jcim.4c01116Source: DataRank Database

Improved Prediction of Ligand–Protein Binding Affinities by Meta-modeling is a research paper published in Journal of Chemical Information and Modeling (2024). On theSindex it has a DataRank of 0. It has been cited 7 times.

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Open Access7 citations

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Enrichment:Funding (4 grants)Impact (FWCI 1.95)OA: hybridTopics (39)IDs (PubMed, PMC, OpenAlex)Annotations (1)SDGs (1)

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Context only (not used in score)

Findable (1/2)

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Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (3)

Prashant S. Emani ORCID,Mark Gerstein ORCID,Ho‐Joon Lee ORCID

Live enrichment

PubMed:39576762 PMC:PMC11632770 OpenAlex:https://openalex.org/W4404629312

National Institutes of Health

Grant: R01DA05190604

NIDA NIH HHS

Grant: R01 DA051906

National Institutes of Health

Grant: 1R01DA051906-01

A Big Data Approach to Identify Epigenetic, Transcriptomic, and Network Dynamics as Immune Dysfunction Drivers Associated with HIV Infection and Substance Use Disorder

Albert L. Williams

FWCI

1.95

Citation Percentile

0.9%

Citation Trend

2025

2026

hybridLicense: cc-by-nc-nd

journalhttps://doi.org/10.1021/acs.jcim.4c01116

publisherhttps://doi.org/10.1021/acs.jcim.4c01116

publisherhttps://pubs.acs.org/doi/pdf/10.1021/acs.jcim.4c01116

repositoryhttps://pubmed.ncbi.nlm.nih.gov/39576762

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/11632770

Fields of Study

Computational Drug Discovery MethodsBioinformatics and Genomic NetworksMachine Learning in Materials Science0206 medical engineering02 engineering and technologyLigandsProteinsProtein BindingDeep LearningMolecular Docking SimulationDatabases, Protein

MeSH Terms

Deep LearningLigandsProtein BindingProteinsDatabases, ProteinMolecular Docking Simulation

Keywords

AffinitiesBinding affinitiesChemistryComputational biologyPlasma protein bindingLigand (biochemistry)StereochemistryBiologyBiochemistryReceptorFOS: Computer and information sciencesComputer Science - Machine LearningProteinsLigandsQuantitative Biology - Quantitative MethodsMachine Learning (cs.LG)Molecular Docking SimulationDeep LearningFOS: Biological sciencesDatabases, ProteinQuantitative Methods (q-bio.QM)Protein Binding

Sustainable Development Goals

SDG 0: Zero hunger

Improved Prediction of Ligand–Protein Binding Affinities by Meta-modeling

FAIR Checklist

Authors (3)

Funding (4 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)