Data management solutions for protein therapeutic research and development

The increased attention protein therapeutics are receiving in the pharmaceutical industry is placing greater emphasis on the challenging task of creating efficient data management solutions for biopharmaceutical research and development. Protein therapeutics, including monoclonal antibodies, are a g...

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Bibliographic Details
Published in:Drug discovery today 2005-08, Vol.10 (15), p.1065-1071
Main Authors: Vielmetter, Jost, Tishler, Jeff, Ary, Marie L., Cheung, Peter, Bishop, Richard
Format: Article
Language:English
Subjects:
Antibodies, Monoclonal - pharmacology
Antibodies, Monoclonal - therapeutic use
bioinformatics
Biological and medical sciences
biopharmaceuticals
data management
data mining
Database Management Systems
Databases, Genetic
Drug Design
Drug Evaluation, Preclinical
General pharmacology
high-throughput screening
Medical sciences
Pharmaceutical technology. Pharmaceutical industry
Pharmacology. Drug treatments
protein engineering
Proteomics - statistics & numerical data
Receptors, Drug - drug effects
Receptors, Drug - genetics
structure-activity relationships
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Summary:The increased attention protein therapeutics are receiving in the pharmaceutical industry is placing greater emphasis on the challenging task of creating efficient data management solutions for biopharmaceutical research and development. Protein therapeutics, including monoclonal antibodies, are a growing focus of drug discovery research organizations. High-throughput screening of large libraries of protein variants is therefore becoming increasingly important in R&D. As a result, there is a need to link large numbers of variant protein sequences with chemical and biological assay data. This integration will allow more efficient data mining and facilitate decision-making regarding hit identification, lead optimization and drug development. In this paper, we present an implementation in which a widely used small-molecule high-throughput screening data management system has been adapted to meet the unique needs of protein drug discovery and development.
ISSN:1359-6446
1878-5832
DOI:10.1016/S1359-6446(05)03495-1