Computational Antibody Discovery Symposium: Panel discussion summary скачать в хорошем качестве

Computational Antibody Discovery Symposium: Panel discussion summary

The Computational Antibody Discovery Symposium held on June 22, 2023, included a panel discussion during which the panelists provided their opinions and insights on five questions. The panelists were Jiye Shi, Victor Greiff, Sandeep Kumar, and Ben Holland, but not all the panelists were able to grant permission for On Demand access to their content. For this panel discussion summary, we (Drs. Silvia Crescioli & Janice Reichert) anonymized the panelists' responses. Information that could identify the speaker was removed and responses were paraphrased, but the main points were retained. Please note: The 4th and 5th questions were each answered by only one panelist. Panelists provided their opinions and insights on these questions: 1. What properties are more urgent to be able to design in silico - binding specificity, developability or something else? 2. What performance should computational antibody design achieve to improve upon established protocols? 3. What are the biggest hurdles for computational antibody discovery to achieve its full potential (models, data or something else)? 4. How could industry and academia complement each other to solve the problem of computationally designing antibodies? 5. What role does big tech/biopharma have to play in development and adoption of computational antibody design paradigms?