Paul Carter, PhDGenentech Fellow, Department of Antibody Engineering at Genentech, Inc.
Profile
Dr. Paul Carter is a Genentech Fellow in the Antibody Engineering Department at Genentech, Inc. His research passion is the quest for breakthrough antibody-based therapeutics that transform the lives of patients. His research interests include making currently intractable targets druggable with antibodies - pursuit of the ‘high-hanging fruit’. He co-initiated the humanization of antibodies at Genentech with a novel and patentable method. This technology has been utilized for the discovery of 9 approved antibody products that have been used to treat millions of patients worldwide. Paul and collaborators created ‘knobs-into-holes’ technology widely used in generating bispecific antibodies. He also developed a common light chain technology used by others in generating bispecific antibodies including one approved product. He invented technology for high-titer expression of antibody Fab fragments in E. coli used for one approved antibody product. Paul has authored or co-authored 117+ scientific publications that together have been cited 20,000+ times. He is an inventor or co-inventor on 48+ issued US patents and 60+ published US patent applications. He has co-organized 18+ international conferences on antibody engineering and antibody therapeutics. He has delivered 119+ conference presentations and invited lectures including 12+ keynote presentations. Paul received a B.A. in Natural Sciences from Cambridge University and his Ph.D. under Sir Greg Winter, Ph.D. at the MRC Laboratory of Molecular Biology in Cambridge. He was a Postdoctoral Fellow with Dr. Jim Wells at Genentech. Paul has 34+ years of biotechnology experience including at Genentech, Immunex, Amgen, Seattle Genetics and VLST. His professional experience includes heading the postdoctoral programs at Genentech, Immunex and Amgen.
Agenda Sessions
Engineering Bispecific Antibodies as Therapeutics: Utilizing Intrinsic Heavy/Light Chain Pairing Preferences and Mitigating High Viscosity
On DemandView Session