reference/25112277

http://rdf.ncbi.nlm.nih.gov/pubchem/reference/25112277

Outgoing Links

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publicationName	Proceedings of the National Academy of Sciences of the United States of America
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bibliographicCitation	Bello T, Paindelli C, Diaz-Gomez LA, Melchiorri A, Mikos AG, Nelson PS, Dondossola E, Gujral TS. Computational modeling identifies multitargeted kinase inhibitors as effective therapies for metastatic, castration-resistant prostate cancer. Proc Natl Acad Sci U S A. 2021 Oct 05;118(40). PMID: 34593636; PMCID: PMC8501846.
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date	2021-09-30-04:00^^<http://www.w3.org/2001/XMLSchema#date>
identifier	https://doi.org/10.1073/pnas.2103623118 https://pubmed.ncbi.nlm.nih.gov/PMC8501846 https://pubmed.ncbi.nlm.nih.gov/34593636
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language	English
source	https://www.crossref.org/ https://pubmed.ncbi.nlm.nih.gov/
title	Computational modeling identifies multitargeted kinase inhibitors as effective therapies for metastatic, castration-resistant prostate cancer
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Total number of triples: 58.