Workshop

Protein design models: Inpainting, Hallucination and MPNN

In the third workshop we will examine some of the most useful protein design models. Following a quick refresher we will explore "inpainting" as a super-tool for auto-completing one or several parts of any given design. We will next take a look at hallucination as a method to auto-generate de-novo proteins given a set of spatial restrictions. Finally we will review a recently published sequance design model (MPNN), which allows sequance optimization of any given protein structure. 

Speaker:

Amijai Saragovi - is a postdoctoral researcher in the Baker Lab, where he combines AI-powered protein design with experimental innovation to create functional protein-based nanomaterials. His work focuses on harnessing proteins to template semiconductor growth, offering a scalable and sustainable alternative for next-generation electronics. As he transitions to establish his research in Lund University, Saragovi envisions a future where biofabricated materials redefine energy-efficient computing, photonics, and quantum technologies—pushing biology beyond evolution to engineer entirely new functionalities.

Agenda:

17:30 – 17:45 – Meet & Greet
17:45 – 18:05 – The basics - what are proteins and what can they do for us
18:05 – 18:35 – Inpainting 
18:35 – 19:00 – Meet & Eat
19:00 – 19:20 – Hallucination  
19:20 – 19:50 – MPNN
19:50 – 20:30 – Hackathon discussion and a beer

sponsored by:

Capish