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Proceedings Paper

Comprehensive analysis of high-throughput screening data
Author(s): Stephan Heyse
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Paper Abstract

High-Throughput Screening (HTS) data in its entirety is a valuable raw material for the drug-discovery process. It provides the most compete information about the biological activity of a company's compounds. However, its quantity, complexity and heterogeneity require novel, sophisticated approaches in data analysis. At GeneData, we are developing methods for large-scale, synoptical mining of screening data in a five-step analysis: (1) Quality Assurance: Checking data for experimental artifacts and eliminating low quality data. (2) Biological Profiling: Clustering and ranking of compounds based on their biological activity, taking into account specific characteristics of HTS data. (3) Rule-based Classification: Applying user-defined rules to biological and chemical properties, and providing hypotheses on the biological mode-of-action of compounds. (4) Joint Biological-Chemical Analysis: Associating chemical compound data to HTS data, providing hypotheses for structure- activity relationships. (5) integration with Genomic and Gene Expression Data: Linking into other components of GeneData's bioinformatics platform, and assessing the compounds' modes-of-action, toxicity, and metabolic properties. These analyses address issues that are crucial for a correct interpretation and full exploitation of screening data. They lead to a sound rating of assays and compounds at an early state of the lead-finding process.

Paper Details

Date Published: 21 June 2002
PDF: 13 pages
Proc. SPIE 4626, Biomedical Nanotechnology Architectures and Applications, (21 June 2002); doi: 10.1117/12.472120
Show Author Affiliations
Stephan Heyse, GeneData AG (Switzerland)

Published in SPIE Proceedings Vol. 4626:
Biomedical Nanotechnology Architectures and Applications
Raymond P. Mariella; Michelle Palmer; Darryl J. Bornhop; Darryl J. Bornhop; Ramesh Raghavachari; Shuming Nie; Ramesh Raghavachari; Catherine J. Murphy; David A. Dunn; David A. Dunn; Raymond P. Mariella; Catherine J. Murphy; Dan V. Nicolau; Shuming Nie; Michelle Palmer; Ramesh Raghavachari, Editor(s)

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