Accelerating Antibody Drug Discovery Through Computational Modeling

The large size and complexity of biologic molecules creates unique sets of safety, efficacy, and developability hurdles that have to be overcome in order to bring biotherapeutics to market.  This webinar will provide an overview of computational modeling strategies for antibody design. The presentation will describe how calculated properties derived from physics-based 3D structural analyses and simulation are applied to not only predict binding affinity, but also identify and mitigate potential liabilities in the development of antibody-based biotherapeutics. Such computational modeling efforts can contribute to significant reductions in project costs and timelines by directing experimental focus toward the most promising candidates.

Live Webcast Information
Start Time:
October 20, 2022 11:00 AM Eastern
10:00 AM Central, 9:00 AM Mountain, 8:00 AM Pacific
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Estimated Length:
1 hour
Registration Time Remaining:
14 days, 10 hours
Registration Fee:
Free
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Accelerating Antibody Drug Discovery Through Computational Modeling

The large size and complexity of biologic molecules creates unique sets of safety, efficacy, and developability hurdles that have to be overcome in order to bring biotherapeutics to market.  This webinar will provide an overview of computational modeling strategies for antibody design. The presentation will describe how calculated properties derived from physics-based 3D structural analyses and simulation are applied to not only predict binding affinity, but also identify and mitigate potential liabilities in the development of antibody-based biotherapeutics. Such computational modeling efforts can contribute to significant reductions in project costs and timelines by directing experimental focus toward the most promising candidates.

Speaker Information
Eliud Oloo  [ view bio ]
Individual topic purchase: Selected