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MJ

Max Jaderberg

04/29/25

@ Sequoia Capital

Drug design is complex, requiring an understanding of how small molecules interact with proteins, modulating their functions in the body.

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The Quest to ‘Solve All Diseases’ with AI: Isomorphic Labs’ Max Jaderberg

@ Sequoia Capital

The Quest to ‘Solve All Diseases’ with AI: Isomorphic Labs’ Max Jaderberg

04/29/25

Related Takeaways

MJ

Max Jaderberg

04/29/25

@ Sequoia Capital

Understanding how molecules interact with all proteins in the body is crucial, as this knowledge can help predict toxicity and improve drug design.

MJ

Max Jaderberg

04/29/25

@ Sequoia Capital

Drug design is complex, with numerous bottlenecks before reaching clinical trials, and we need to innovate in this space to improve the process.

MJ

Max Jaderberg

04/29/25

@ Sequoia Capital

AlphaFold 3 enables drug designers to model not just protein structures but also how these proteins interact with small molecules, enhancing our ability to design effective drugs.

MJ

Max Jaderberg

04/29/25

@ Sequoia Capital

Before AlphaFold 3, drug designers had to rely on intuition and lengthy lab processes to understand molecular interactions, which is no longer the case.

MJ

Max Jaderberg

04/29/25

@ Sequoia Capital

To achieve transformative drug design, we need several more breakthroughs similar to AlphaFold, focusing on different core concepts of biology and chemistry.

PH

Patrick Hsu

04/15/25

@ Sequoia Capital

Programming biology goes beyond drug development; it involves understanding how hormones can influence thoughts, feelings, and behaviors in powerful ways.

PH

Patrick Hsu

04/15/25

@ Sequoia Capital

Machine learning for biology is not limited to drug design; it encompasses a broader potential that significantly impacts human lives.

MJ

Max Jaderberg

04/29/25

@ Sequoia Capital

AlphaFold 3 allows our drug designers to see how their molecule designs interact with protein targets instantly, which is a game changer in drug design.

MJ

Max Jaderberg

04/29/25

@ Sequoia Capital

Building a diverse team of experts in AI, chemistry, and biology is essential for questioning traditional approaches and fostering innovation in drug design.