Genentech: Simon Kelow | AI Scientist, Prescient Design, Computational Sciences

Scientists / Our Scientists

"As a recipient of life-changing medicine myself, I’m excited to help drive innovation at such an exciting time in human medicine."

Years at Genentech

Awards & Honors

I started my studies in Physics and Astronomy at Northern Arizona University as an undergraduate. My interests shifted from the vast scale of the universe, to the tiny scale of protein structure. My introduction to protein science came during a summer at University of Chicago studying the interaction of myosin and actin proteins. After learning that I’m horrible at wielding pipettes, I dived full throttle into computational methods for studying protein structure and dynamics with a NIH sponsored Post-Baccalaureate program (PREP) in John Karanicolas’ lab at University of Kansas. After graduating with my Ph.D from University of Pennsylvania (advisor Roland Dunbrack) in Molecular Biophysics, I joined Prescient Design to lend expertise in antibody sequence and structure.

Featured Publication

Hiding in plain sight: structure and sequence analysis reveals the importance of the antibody DE loop for antibody-antigen binding

MAbs. 2020 Jan-Dec;12(1):1840005.

Simon P. Kelow, Jared Adolf-Bryfogle & Roland L. Dunbrack.

View Abstract

While I consider myself a generalist of protein structure and design, my expertise is mainly in antibody structure classification and structural bioinformatics towards antibody design. I’ve written algorithms to automate the classification of antibody CDR structures within either resolved or simulated structures, and have used RosettaAntibodyDesign to generate binders towards SARS-COV-2. For my primary publication in graduate school, I expanded the definition of the antibody binding site by introducing a thorough analysis of the antibody “DE loop”.

University of Pennsylvania, Ph.D in Biochemistry and Molecular Biophysics – 2021
Northern Arizona University, B.S. in Physics and Astronomy, Cum Laude – 2013

NIH T32 Structural Biology and Molecular Biophysics Training Grant, University of Pennsylvania Dept. of Biochemistry and Molecular Biophysics, – 2016
Josh Wand award for best poster, BMB dept, University of Pennsylvania – 2016
Lila and Madison Self fellowship selectee, University of Kansas – 2013 - Offer Declined
NIH PREP Program selectee, University of Kansas – 2013

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Simon Kelow

AI Scientist, Prescient Design, Computational Sciences

Featured Publication

Hiding in plain sight: structure and sequence analysis reveals the importance of the antibody DE loop for antibody-antigen binding