Drugmonizome and Drugmonizome-ML: integration and abstraction of small molecule attributes for drug enrichment analysis and machine learning is a research paper published in Database (2021). On theSindex it has a DataRank of 0. It has been cited 36 times.
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National Institutes of Health
Grant: U24CA224260, U54HL127624, OT2OD030160
NIH HHS
Grant: OT2 OD030160
NIDDK NIH HHS
Grant: R01 DK131525
NCI NIH HHS
Grant: U24 CA224260
NHLBI NIH HHS
Grant: U54 HL127624
NHLBI NIH HHS
Grant: T32 HL007824
National Institutes of Health
Grant: 5U54HL127624-02
Data Coordination and Integration Center for LINCS-BD2K
National Institutes of Health
Grant: 3OT2OD030160-01S2
The LINCS DCIC Engagement Plan with the CFDE
National Institutes of Health
Grant: 5U24CA224260-05
Knowledge Management Center for Illuminating the Druggable Genome
FWCI
4.22
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals
Additional file 1 of DrugShot: querying biomedical search terms to retrieve prioritized lists of small molecules
Additional file 1 of DrugShot: querying biomedical search terms to retrieve prioritized lists of small molecules
Additional file 1 of Drug mechanism enrichment analysis improves prioritization of therapeutics for repurposing
Additional file 1 of Drug mechanism enrichment analysis improves prioritization of therapeutics for repurposing
Additional file 1 of Predicting drug response from single-cell expression profiles of tumours
Additional file 1 of Predicting drug response from single-cell expression profiles of tumours
Additional file 2 of Predicting drug response from single-cell expression profiles of tumours
Additional file 2 of Predicting drug response from single-cell expression profiles of tumours