1. Computers to Find Big Molecules

In episode 1 of our yet-to-win award podcast, we talk to Dr. Sandeep Kumar, Distinguished Research Fellow in Biotherapeutics at Boehringer Ingelheim about how he uses computers to help develop and deliver biopharmaceuticals and his thoughts on the increasing importance of computational methods in drug discovery.  It gets controversial at times, so, you know, just a warning on that. See more:

Computational Antibody Discovery: State of the Art: https://www.antibodysociety.org/computational-antibody-discovery-state-of-the-art/ Takeaways:

• Dr. Sandeep Kumar is driven by a desire to help patients.
• Computational methods can revolutionize antibody discovery.
• In silico antibody discovery can overcome traditional limitations.
• AI can generate vast libraries of antibodies efficiently.
• Medicine-like profiles can improve drug developability.
• Collaboration between tech and biotech is essential.
• Digital transformation is crucial for the pharmaceutical industry.
• Data digitization is necessary for effective informatics systems.
• Computational predictions need to be validated in the lab.
• The future of drug discovery lies in integrating computation with experimentation.