GCAC: galaxy workflow system for predictive model building for virtual screening

GCAC: galaxy workflow system for predictive model building for virtual screening

Abstract Background Traditional drug discovery approaches are time-consuming, tedious and expensive. Identifying a potential drug-like molecule using high throughput screening (HTS) with high confidence is always a challenging task in drug discovery and cheminformatics. A small percentage of molecul...

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Bibliographic Details
Main Authors: Deepak R. Bharti, Anmol J. Hemrom, Andrew M. Lynn
Format: Article
Language:English
Published: BMC 2019-02-01
Series:BMC Bioinformatics
Subjects:
Predictive model building
Reproducible results
Galaxy workflow system
High throughput screening
Drug discovery
R statistical package
Online Access:http://link.springer.com/article/10.1186/s12859-018-2492-8

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http://link.springer.com/article/10.1186/s12859-018-2492-8

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