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Article

Predicting neurological Adverse Drug Reactions based on biological, chemical and phenotypic properties of drugs using machine learning models.

Scientific reports - 13 Apr 2017

Jamal Salma, Goyal Sukriti, Shanker Asheesh, Grover Abhinav

Abstract excerpt

Adverse drug reactions (ADRs) have become one of the primary reasons for the failure of drugs and a leading cause of deaths. Owing to the severe effects of ADRs, there is an urgent need for the generation of effective models which can accurately predict ADRs during early stages of drug development based on integration of various features of drugs. In the current study, we have focused on neurological ADRs and...

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Identifiers

PMID: 28408735
DOI: 10.1038/s41598-017-00908-z
PMCID: PMC5429831

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