title: Data management solutions for protein therapeutic research and development.
abstract: 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.
authors.affiliation: Xencor, 111 W. Lemon Avenue, Monrovia, CA 91016, USA. jvielmet@xencor.com
authors.forename: Jost
authors.initials: J
authors.lastname: Vielmetter
authors.forename: Jeff
authors.initials: J
authors.lastname: Tishler
authors.forename: Marie L
authors.initials: ML
authors.lastname: Ary
authors.forename: Peter
authors.initials: P
authors.lastname: Cheung
authors.forename: Richard
authors.initials: R
authors.lastname: Bishop
mesh_terms: D000911:Antibodies, Monoclonal / Q000494:pharmacology / Q000627:therapeutic use; D003628:Database Management Systems; D030541:Databases, Genetic; D015195:Drug Design; D004353:Drug Evaluation, Preclinical; D040901:Proteomics / Q000706:statistics & numerical data*; D011955:Receptors, Drug / Q000187:drug effects / Q000235:genetics
chemical_list: D000911:Antibodies, Monoclonal; D011955:Receptors, Drug