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ImaginAb, Inc. and Eurogentec S.A. Collaborate to Produce Antibody Fragments in Pichia

Mon, 01/31/2011 - 7:32am
Bio-Medicine.Org

LOS ANGELES, Jan. 31, 2011 /PRNewswire/ -- ImaginAb, Inc. and Eurogentec S.A. announce a development collaboration to establish a novel system for producing engineered antibody fragments. The two companies will produce ImaginAb's optimized antibody fragments with Eurogentec's high-performance Pichia pastoris expression system. Leveraging Eurogentec's expertise in cGMP manufacturing of recombinant proteins, the collaboration will accelerate the development of ImaginAb's rich pipeline of targeted molecular imaging agents for the diagnosis and treatment management of cancer and autoimmune diseases.

"With our rapidly expanding pharma client base worldwide, ImaginAb is leveraging multiple manufacturing technologies to increase our capacity for fast, reliable protein production," said Dr. Christian Behrenbruch, CEO of ImaginAb. "Eurogentec's Pichia technology has the potential to enable us to take a fresh look at how we do extremely rapid and cost-effective translation into humans with our antibody fragment technology."

Dr. Philippe Cronet, CSO of Eurogentec commented, "We are very committed to exploring new manufacturing strategies for ImaginAb's unique products. Our technology platform is well suited to a variety of recombinant proteins including the important class of antibody fragment proteins such as those under development by ImaginAb".

About ImaginAb

Founded in 2007 by UCLA Faculty (Drs. Robert Reiter, Anna Wu and Christian Behrenbruch), ImaginAb, Inc. is a biotechnology company specializing in the development of engineered antibody fragments for diagnostic imaging and novel therapeutic applications. The company has a significant pipeline of clinical products in development oriented towards unmet needs in cancer and immunology. ImaginAb is also developing a range of pre-clinical (animal imaging) reagents for use with microPET, microSPECT and optical imaging systems, and partners on a selective basis with bi

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