Challenges in secondary analysis of high throughput screening data.

Aurora S. Blucher, Shannon McWeeney

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Repurposing an existing drug for an alternative use is not only a cost effective method of development, but also a faster process due to the drug's previous clinical testing and established pharmokinetic profiles. A potentially rich resource for computational drug repositioning approaches is publically available high throughput screening data, available in databases such as PubChem Bioassay and ChemBank. We examine statistical and computational considerations for secondary analysis of publicly available high throughput screening (HTS) data with respect to metadata, data quality, and completeness. We discuss developing methods and best practices that can help to ameliorate these issues.

Original languageEnglish (US)
Pages (from-to)114-124
Number of pages11
JournalPacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
StatePublished - 2014

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Drug Repositioning
Practice Guidelines
Biological Assay
Databases
Costs and Cost Analysis
Pharmaceutical Preparations

ASJC Scopus subject areas

  • Medicine(all)

Cite this

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