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A label-free alternative to ELISA: Protein interaction analysis in drug development and production
Author(s) -
Gary M. Franklin
Publication year - 2005
Publication title -
the biochemist
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.126
H-Index - 7
eISSN - 1740-1194
pISSN - 0954-982X
DOI - 10.1042/bio02703028
Subject(s) - drug , pipeline (software) , drug development , task (project management) , psychological intervention , risk analysis (engineering) , production (economics) , process (computing) , computer science , business , pharmacology , medicine , engineering , economics , macroeconomics , systems engineering , psychiatry , programming language , operating system
With the ever-increasing understanding of the complexity of human protein interactions that impact directly on the safety and efficacy of therapeutic interventions, so the responsibility of researchers and drug companies to fully characterize drug candidates becomes a more and more onerous task. Using conventional methods, like ELISA, to examine even the most obvious interaction of, for example, a therapeutic antibody can add weeks or months on to the development process and clog up R&D programmes with thousands of man hours. And failure to fully examine the nature of important interactions may result in costly drug failures further down the pipeline.

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