DrugShot: querying biomedical search terms to retrieve prioritized lists of small molecules

DrugShot: querying biomedical search terms to retrieve prioritized lists of small molecules. Kropiwnicki, E., Lachmann, A., Clarke, D. J. B., Xie, Z., Jagodnik, K. M., & Ma’ayan, A. BMC Bioinformatics, 23(1):76, February, 2022.

Paper doi abstract bibtex

PubMed contains millions of abstracts that co-mention terms that describe drugs with other biomedical terms such as genes or diseases. Unique opportunities exist for leveraging these co-mentions by integrating them with other drug-drug similarity resources such as the Library of Integrated Network-based Cellular Signatures (LINCS) L1000 signatures to develop novel hypotheses.

@article{kropiwnicki_drugshot_2022,
	title = {{DrugShot}: querying biomedical search terms to retrieve prioritized lists of small molecules},
	volume = {23},
	issn = {1471-2105},
	shorttitle = {{DrugShot}},
	url = {https://doi.org/10.1186/s12859-022-04590-5},
	doi = {10.1186/s12859-022-04590-5},
	abstract = {PubMed contains millions of abstracts that co-mention terms that describe drugs with other biomedical terms such as genes or diseases. Unique opportunities exist for leveraging these co-mentions by integrating them with other drug-drug similarity resources such as the Library of Integrated Network-based Cellular Signatures (LINCS) L1000 signatures to develop novel hypotheses.},
	number = {1},
	urldate = {2022-10-11},
	journal = {BMC Bioinformatics},
	author = {Kropiwnicki, Eryk and Lachmann, Alexander and Clarke, Daniel J. B. and Xie, Zhuorui and Jagodnik, Kathleen M. and Ma’ayan, Avi},
	month = feb,
	year = {2022},
	keywords = {Drug Repurposing, Machine Learning, Search engine, Text mining, Transcriptomics},
	pages = {76},
}

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