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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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Indhold leveret af Cambridge Healthtech Institute. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Cambridge Healthtech Institute eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.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 episoder

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Manage episode 360371293 series 2967424
Indhold leveret af Cambridge Healthtech Institute. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Cambridge Healthtech Institute eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.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 episoder

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