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ADMET-AI: a machine learning ADMET platform for evaluation of large-scale chemical libraries

Bioinformatics(2024)10.1093/bioinformatics/btae416Source: DataRank Database

ADMET-AI: a machine learning ADMET platform for evaluation of large-scale chemical libraries is a research paper published in Bioinformatics (2024). On theSindex it has a DataRank of 0. It has been cited 261 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access261 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (6 grants)Impact (FWCI 70.74)OA: goldTopics (29)IDs (PubMed, PMC, OpenAlex)SDGs (2)

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 (7)

Parker Walther,Jeremy Leitz ORCID,Souhrid Mukherjee ORCID,Joseph C. Wu ORCID,Rabindra V. Shivnaraine

Live enrichment

PubMed:38913862 PMC:PMC11226862 OpenAlex:https://openalex.org/W4399940463

National Institutes of Health

Grant: R01 HL163680

National Institutes of Health

Grant: R01 HL171102

National Institutes of Health

Grant: 1R01HL163680-01

Elucidating ECM Signaling in Cardiac Organoids with Machine Learning and Single-cell Multiomics

National Institutes of Health

Grant: 5R01HL171102-02

Modeling Susceptibility to Radiation Therapy-induced Cardiotoxicity Using Cell Village iPSCs

Knight-Hennessy Scholarship

FWCI

70.74

Citation Percentile

1.0%

Citation Trend

2024

2025

2026

goldLicense: cc-by

journalhttps://academic.oup.com/bioinformatics/advance-article-pdf/doi/10.1093/bioinformatics/btae416/58319615/btae416.pdf

publisherhttps://academic.oup.com/bioinformatics/advance-article-pdf/doi/10.1093/bioinformatics/btae416/58319615/btae416.pdf

publisherhttps://academic.oup.com/bioinformatics/article-pdf/40/7/btae416/58460627/btae416.pdf

journalhttps://doi.org/10.1093/bioinformatics/btae416

repositoryhttps://pubmed.ncbi.nlm.nih.gov/38913862

Fields of Study

Computational Drug Discovery MethodsMachine Learning in Materials ScienceChemistry and Chemical Engineering0301 basic medicine0303 health sciences03 medical and health sciencesMachine LearningSoftwareDrug DiscoverySmall Molecule Libraries

MeSH Terms

Machine LearningSoftwareSmall Molecule LibrariesDrug Discovery

Keywords

Python (programming language)Computer scienceWeb siteWeb serverDrug discoveryArtificial intelligenceMachine learningThe InternetChemistryProgramming languageOperating systemBiochemistrySmall Molecule LibrariesApplications NoteSoftware

Sustainable Development Goals

SDG 3: 3. Good healthSDG 0: Good health and well-being