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Predicting anti-SARS-CoV-2 activities of chemical compounds using machine learning models

Artificial Intelligence Chemistry(2023)10.1016/j.aichem.2023.100029Source: DataRank Database

Predicting anti-SARS-CoV-2 activities of chemical compounds using machine learning models is a research paper published in Artificial Intelligence Chemistry (2023). On theSindex it has a DataRank of 0. It has been cited 2 times.

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0DataRank · unranked

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Open Access2 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (5 grants)Impact (FWCI 0.28)OA: goldTopics (26)IDs (PubMed, PMC, OpenAlex)Annotations (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)

Yuhui Wu ORCID,Elena N. Thomas,Jocelyn N. Edwards,Xibing He ORCID,Junmei Wang ORCID

Live enrichment

PubMed:38089696 PMC:PMC10715801 OpenAlex:https://openalex.org/W4388806903

NIGMS

Grant: R01GM147673

NIGMS

Grant: R01GM149705

National Science Foundation

Grant: 1955260

National Institutes of Health

University of Pittsburgh

FWCI

0.28

Citation Percentile

0.6%

Citation Trend

2024

2025

goldLicense: cc-by-nc-nd

journalhttps://doi.org/10.1016/j.aichem.2023.100029

publisherhttps://doi.org/10.1016/j.aichem.2023.100029

publisherhttps://api.elsevier.com/content/article/PII:S2949747723000295?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S2949747723000295?httpAccept=text/plain

repositoryhttps://pubmed.ncbi.nlm.nih.gov/38089696

Fields of Study

Computational Drug Discovery MethodsMachine Learning in BioinformaticsMachine Learning in Materials Science

Keywords

Coronavirus disease 2019 (COVID-19)Wilcoxon signed-rank testArtificial intelligenceMachine learningComputer scienceSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Receiver operating characteristicArea under curveMolecular descriptorTraining setMathematicsStatisticsQuantitative structure–activity relationshipBioinformaticsInfectious disease (medical specialty)MedicineBiologyIn Silico ScreeningAntiviral CompoundsCovid-19Graph-Based Neural NetworksAttentive FpShap Analysis

Predicting anti-SARS-CoV-2 activities of chemical compounds using machine learning models

FAIR Checklist

Authors (6)

Funding (5 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)