Data management solutions for protein therapeutic 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.

[1]  R. Remmele,et al.  Designing proteins that work using recombinant technologies. , 2002, Current pharmaceutical biotechnology.

[2]  Gary Walsh.  Biopharmaceutical benchmarks—2003 , 2003, Nature Biotechnology.

[3]  Janice M. Reichert,et al.  A guide to drug discovery: Trends in development and approval times for new therapeutics in the United States , 2003, Nature Reviews Drug Discovery.

[4]  G. Walsh.  Second-generation biopharmaceuticals. , 2004, European journal of pharmaceutics and biopharmaceutics : official journal of Arbeitsgemeinschaft fur Pharmazeutische Verfahrenstechnik e.V.

[5]  Mariana Vaschetto,et al.  Enabling high-throughput discovery. , 2003, Current opinion in drug discovery & development.

[6]  G. Løset,et al.  New technologies in therapeutic antibody development. , 2003, Current opinion in pharmacology.

[7]  Eugene A Zhukovsky,et al.  Inactivation of TNF Signaling by Rationally Designed Dominant-Negative TNF Variants , 2003, Science.

[8]  B. Dahiyat,et al.  Combining computational and experimental screening for rapid optimization of protein properties , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[9]  S. A. Marshall,et al.  Designing proteins for therapeutic applications. , 2003, Current opinion in structural biology.

[10]  W. Huse,et al.  Optimization of protein therapeutics by directed evolution. , 2003, Drug discovery today.

[11]  S. A. Marshall,et al.  Rational design and engineering of therapeutic proteins. , 2003, Drug discovery today.