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Episode: 48 - A Conversation with Peter Tessier: Classifying Antibodies to Assess Biologics Developability Features Early in the Discovery Process

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Content provided by Cambridge Healthtech Institute. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Cambridge Healthtech Institute or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

In this month’s episode of the Chain, guest Peter Tessier, Albert M. Mattocks pharmaceutical sciences and chemical engineering professor at the University of Michigan, speaks with moderator Tariq Ghayur, scientific advisor and entrepreneur in residence at FairJourney Biologics, about expediting the developability of antibodies. He discusses the characteristics that best predict a molecule’s drug-like properties, the different assays used for various intended outcomes, and why every scientist must assess the “greatest potential impact” before embarking on a new experiment. Tessier also talks about the core traditions that help him lead students in the lab while fostering a learning environment of ownership, integrity, and self-motivation. Last, he shares his predictions on how computational data will advance antibody discovery and developability in the future.

  continue reading

69 episodes

Artwork
iconShare
 
Manage episode 360371293 series 2967424
Content provided by Cambridge Healthtech Institute. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Cambridge Healthtech Institute or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

In this month’s episode of the Chain, guest Peter Tessier, Albert M. Mattocks pharmaceutical sciences and chemical engineering professor at the University of Michigan, speaks with moderator Tariq Ghayur, scientific advisor and entrepreneur in residence at FairJourney Biologics, about expediting the developability of antibodies. He discusses the characteristics that best predict a molecule’s drug-like properties, the different assays used for various intended outcomes, and why every scientist must assess the “greatest potential impact” before embarking on a new experiment. Tessier also talks about the core traditions that help him lead students in the lab while fostering a learning environment of ownership, integrity, and self-motivation. Last, he shares his predictions on how computational data will advance antibody discovery and developability in the future.

  continue reading

69 episodes

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