Gradient Dissent: Conversations on AI

Accelerating drug discovery with AI: Insights from Isomorphic Labs

Apr 25, 2024

Max Jaderberg and Sergei Yakneen from Isomorphic Labs discuss AI in drug discovery, focusing on deep learning advancements, evolving AI models for drug design, input granularity in NLP and biology data, overlaps in material science and biology, the role of diverse datasets in AI-driven drug discovery, and machine learning applications in neuroscience.

01:10:23

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Episode guests

Max Jaderberg

Sergei Yakneen

AI Summary

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Episode notes

Podcast summary created with Snipd AI

Quick takeaways

AI accelerates drug discovery by rational design using global models trained on vast molecular data sets.

Adapting neural networks to represent complex biological structures poses challenges, requiring tailored data representation strategies.

Collaboration between machine learning researchers and chemists enhances drug design efficiency by integrating domain expertise and technology.

Deep dives

Challenges in Drug Discovery Process

Drug discovery involves modulating disease pathways by designing drugs that interact with specific proteins. The process entails designing small molecules that influence protein behavior to alter disease states. Historically, drug discovery relied on human expertise and intuition, leading to trial-and-error approaches. This approach resulted in high failure rates, long development times, and significant costs. The aim now is to move towards rational drug design using advanced technologies.

General Models for Molecular Interactions

00:58

Consider the Non-linear Structure of Genomes

02:18

The intricacy of the space of possible drugs

01:08

Challenges in Drug Design Process

02:05

Introduction

3min

Evolution of AI in Drug Design

17min

Navigating Input Granularity in NLP and Biology Data

12min

Exploring Overlaps Between Material Science, Biology, and Open Source in AI Research

2min

Exploring the Role of Data in AI-driven Drug Discovery

2min

Navigating the Drug Design Pipeline

12min

AI in Drug Discovery: Enhancing Molecule Development

18min

Exploring Machine Learning in Neuroscience

6min

In this episode of Gradient Dissent, Isomorphic Labs Chief AI Officer Max Jaderberg, and Chief Technology Officer Sergei Yakneen join our host Lukas Biewald to discuss the advancements in biotech and drug discovery being unlocked with machine learning.

With backgrounds in advanced AI research at DeepMind, Max and Sergei offer their unique insights into the challenges and successes of applying AI in a complex field like biotechnology. They share their journey at Isomorphic Labs, a company dedicated to revolutionizing drug discovery with AI. In this episode, they discuss the transformative impact of deep learning on the drug development process and Isomorphic Labs' strategy to innovate from molecular design to clinical trials.

You’ll come away with valuable insights into the challenges of applying AI in biotech, the role of AI in streamlining the drug discovery pipeline, and peer into the future of AI-driven solutions in healthcare.

Connect with Sergei Yakneen & Max Jaderberg:

https://www.linkedin.com/in/maxjaderberg/

https://www.linkedin.com/in/yakneensergei/

https://twitter.com/SergeiIakhnin

https://twitter.com/maxjaderberg

Follow Weights & Biases:

https://twitter.com/weights_biases

https://www.linkedin.com/company/wandb

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Gradient Dissent: Conversations on AI

Accelerating drug discovery with AI: Insights from Isomorphic Labs

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

Deep dives

Challenges in Drug Discovery Process

Evolution of Machine Learning in Drug Discovery

Data Representation and Model Generalization

Drug Design Challenges and Target Selection

Integration of Machine Learning and Chemistry in Drug Design

General Models for Molecular Interactions

Consider the Non-linear Structure of Genomes

The intricacy of the space of possible drugs

Challenges in Drug Design Process

Get the Snipd
podcast app

AI-powered
podcast player

Discover
highlights

Save any
moment

Share
& Export

AI-powered
podcast player

Discover
highlights

Gradient Dissent: Conversations on AI

Accelerating drug discovery with AI: Insights from Isomorphic Labs

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

Deep dives

Challenges in Drug Discovery Process

Evolution of Machine Learning in Drug Discovery

Data Representation and Model Generalization

Drug Design Challenges and Target Selection

Integration of Machine Learning and Chemistry in Drug Design

General Models for Molecular Interactions

Consider the Non-linear Structure of Genomes

The intricacy of the space of possible drugs

Challenges in Drug Design Process

Get the Snipdpodcast app

AI-poweredpodcast player

Discoverhighlights

Save anymoment

Share& Export

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