ESMFold
product on 4 shows · 3 statements across 2 episodes · said 6 times in 5 episodes since 2024
Latent Space 2 
No Priors 2 
Sourcery 1 
the a16z Podcast 1
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Latent Space 2No Priors 2the a16z Podcast 1Sourcery 1
2026 4 mentions in 3 episodes 1 per episode
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3 statements about ESMFold, every show
Rives: ESM Fold has predicted structures for over 1.1 billion proteins
“So we folded over 1.1 billion proteins and predicted their structures and identified kind of features connecting all of them through mechanistic interpretability.”
Rives: ESM Fold achieves SOTA in protein and antibody interaction benchmarks
“And it's really, you know, hitting state of the art across pretty much every structure prediction benchmark, and especially on protein, protein interactions and protein antibody interactions, which is really critical for therapeutic design.”
Ganguli: ESMFold proves language models can learn protein structure from sequences
“I was actually really impressed by ESM fold, this average scale modeling where you could kind of do the same thing that you do for language, but do it for sequences. And then you learn representations that know about the structure of proteins.”