Moudather

Autonomous Agentic Drug Discovery at Augmented Nature

[Steven Brunton @eigensteve]

HydroGym: A Reinforcement Learning Platform for Fluid Dynamics

Now published in Nature!! https://t.co/o1zTn2DIHg
GitHub: https://t.co/9MLBzJAMiJ

Amazing collaboration with Christian Lagemann, S Mokbel, M Gondrum, M Rüttgers, Y Wang, P Suárez, L Paehler, D A Bezgin, A B Buhendwa, J L Callaham, S Ahnert, N Zolman, X Shao, J-Ch Loiseau, N A. Adams, M Meinke, W Schröder, K Lagemann, E Lagemann, R Vinuesa & S L Brunton

[Moudather @chemouda]

@jontycorrin @AnthropicAI Amazing!

[Alex Rives @alexrives]

Today we're announcing ESMFold2, an open scientific engine to power prediction, design, and discovery across protein biology.

The new model delivers state of the art performance on protein interactions, especially antibodies, a critical modality for therapeutics.

We have designed and validated miniprotein binders and single chain antibodies across five therapeutic targets that are important in cancer and immunology. We are seeing very high success rates, and affinities at levels consistent with therapeutic activity.

We’re also releasing an atlas of 6.8 billion proteins, and 1.1 billion predicted structures.

ESMFold2 is built on a state of the art language model that has been trained on billions of protein sequences.

A world model of protein biology emerges through language modeling.

We’ve used the techniques of mechanistic interpretability developed to understand large language models to understand the concepts ESM uses to represent proteins.

The model’s representation space has a compositional organization of features across scales, levels of complexity, and abstraction, that reflects and mirrors the understanding of protein biology developed through a century of empirical science.

This understanding emerges without prior knowledge, just from language modeling of protein sequences.

Language models are becoming a powerful substrate to understand and program biology.

The design of protein interactions is one of the most fundamental problems in biophysics, and has critical implications for the discovery of new medicines. A simple gradient based search with the model was able to discover high-affinity protein binders.

I'm excited by the potential this has to accelerate basic science and the understanding of proteins. And especially for the new avenues it opens up for therapeutic design and medicine.

[Moudather @chemouda]

@andrewpannu sleuth

[Moudather @chemouda]

@wessyolo Welcome back

[Moudather @chemouda]

@andrewwhite01 I am currently working on agentic ai in drug discovery at https://t.co/Vf3YgzM49p

[Garry Tan @garrytan]

AGI fully realized will actually give people a choice:

relax

or

work harder on bigger more ambitious things than you ever thought possible

[Moudather @chemouda]

@GithubProjects https://t.co/JjtacpBS65

[Moudather @chemouda]

@wessyolo Basically a second brain or a digital twin

[Moudather @chemouda]

@paulg By the time genocide is confirmed, its purpose is already complete.

[Moudather @chemouda]

@wessyolo @Hammamramma1 Ya walla 7wel!