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title: The Model that Taught Itself Antibodies | daily.dev
description: A discussion of ESM Fold, a protein-folding foundation model that folded over 1.1 billion proteins to build a general world model of protein biology. Rather...
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# The Model that Taught Itself Antibodies

**[No Priors: AI, Machine Learning, Tech, & Startups](https://daily.dev/sources/nopriorspodcast)** · 1 min read · 0 upvotes · 0 comments

## Summary

A discussion of ESM Fold, a protein-folding foundation model that folded over 1.1 billion proteins to build a general world model of protein biology. Rather than being purpose-built for antibody design, protein design emerges as a byproduct of the model's general understanding of proteins, letting researchers generate antibody candidates computationally instead of screening hundreds of thousands of molecules in wet-lab experiments.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.youtube.com/watch?v=yK682jTa7Dc>

## Questions this post answers

### What is ESMFold and how many proteins has it folded?

ESMFold is an open system for scientific discovery in protein biology that predicted structures for over 1.1 billion proteins, identifying features connecting them. It functions as a general world model of protein biology, meaning it was not built specifically for antibodies or particular targets, yet protein design emerges as a capability from its general understanding.

_Anyone tracking protein modeling breakthroughs can follow developments like this through daily.dev._

### Can a general protein model generate antibodies without being specifically trained for it?

Yes, protein design including antibody generation emerges as a property of a general protein world model rather than requiring a purpose-built system. This replaces laboratory workflows that screen hundreds of thousands or millions of antibody candidates through high-throughput lab experiments, allowing generation to happen computationally instead.

_Researchers weighing computational versus wet-lab antibody discovery can keep up with this shift via daily.dev._

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---

Tags: [#genai](https://daily.dev/tags/genai), [#biotech](https://daily.dev/tags/biotech)

[View this post on daily.dev](https://daily.dev/posts/the-model-that-taught-itself-antibodies-wqmbmc5gc)

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