reference/35382944

http://rdf.ncbi.nlm.nih.gov/pubchem/reference/35382944

Outgoing Links

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contentType	Journal Article
endingPage	2069
issn	2041-6539 2041-6520
issueIdentifier	8
pageRange	2054-2069
publicationName	Chemical Science
startingPage	2054
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bibliographicCitation	Jiang D, Ye Z, Hsieh CY, Yang Z, Zhang X, Kang Y, Du H, Wu Z, Wang J, Zeng Y, Zhang H, Wang X, Wang M, Yao X, Zhang S, Wu J, Hou T. MetalProGNet: a structure-based deep graph model for metalloprotein-ligand interaction predictions. Chem Sci. 2023 Feb 22;14(8):2054–69. PMID: 36845922; PMCID: PMC9945430.
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date	2023-02-22^^<http://www.w3.org/2001/XMLSchema#date>
identifier	https://pubmed.ncbi.nlm.nih.gov/36845922 https://doi.org/10.1039/d2sc06576b https://pubmed.ncbi.nlm.nih.gov/PMC9945430
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language	English
source	https://www.crossref.org/ https://pubmed.ncbi.nlm.nih.gov/
title	MetalProGNet: a structure-based deep graph model for metalloprotein–ligand interaction predictions
discussesAsDerivedByTextMining	http://rdf.ncbi.nlm.nih.gov/pubchem/disease/DZID10395 http://rdf.ncbi.nlm.nih.gov/pubchem/disease/DZID9765 http://rdf.ncbi.nlm.nih.gov/pubchem/disease/DZID8173 http://rdf.ncbi.nlm.nih.gov/pubchem/disease/DZID8607

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