Introduction

Welcome to Nucleate x BitsinBio’s AI for Protein Design Resource Page, your gateway to the cutting-edge world of artificial intelligence and its applications in protein engineering. This resource page is made as a part of our AI in Biotech initiative.

Here, we explore how advanced machine learning algorithms and computational techniques are revolutionizing the field of biotechnology, by enabling scientists to design and engineer proteins with unprecedented precision and efficiency.

Whether you're a researcher, a student, or simply curious about the fascinating intersection of AI and biology, this resource page will provide valuable insights and resources to help you navigate the exciting frontier of AI-driven protein design.

We are pleased to have created an introductory overview with Paul Kim, from the Baker Lab (University of Washington). This provides those new to the field a solid introduction, with many more talks and lecture series available as part of our Resource Page.

Paul also took part in our panel discussion alongside Manu Ponapatti (MIT Media Lab), Alex Tong (Mila Postdoc, Co-Founder of Dreamfold) and Adam Moyer (Co-founder and Director of molecular design at Vilya).

Additional Talks, Lecture Series and Resource Lists

• Overview of recent advancements talk by David Baker
• Deep Learning in Structural Biology and Protein Design: How, Where, and Why (Talk by Chloe Hsu)
• Boston Protein Design and Modelling Club Seminar Series
• ML for Protein Engineering Seminar Series
• Machine Learning for Proteins Paper List
• Structural Bioinformatics, lessons exercises and resources by Kieran Didi
• Nature Overview of AI-enhanced Protein Design
• Ted Talk by David Baker
• Interactive Demos for Design Tools by Simon Duerr
• Overview of latest protein design papers by Sean Peldom Zhang

Protein Design Tools