Prediction of Drug Targets based on In Vitro Activity Profiles Toward Drug Repurposing for Rare Diseases
Author:
Affiliation:
1. National Institutes of Health,Division of Rare Diseases Research Innovation,Bethesda,U.S.
2. National Institutes of Health,Division of Preclinical Innovation,Bethesda,U.S.
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10385250/10385251/10386046.pdf?arnumber=10386046
Reference16 articles.
1. Estimating cumulative point prevalence of rare diseases: analysis of the Orphanet database
2. Drug Repurposing for Rare Diseases
3. Modelling the Tox21 10 K chemical profiles for in vivo toxicity prediction and mechanism characterization
4. Exploring NCATS In-House Biomedical Data for Evidence-based Drug Repurposing;Liu,2023
5. Trade-off Predictivity and Explainability for Machine-Learning Powered Predictive Toxicology: An in-Depth Investigation with Tox21 Data Sets
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