“It was like the total number of tests in the Hermes paper, I think it's like 13 million… across like many, it's like 500 protein targets.”

Ian Quigley · Latent Space: The AI Engineer Podcast · Lab-in-the-Loop at Compute Speed - Ian Quigley, Leash Bio

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What was described

Assembled a benchmark set of ~13 M molecule-protein pairs covering ~500 targets to compare against the state-of-the-art Boltz model

13 M tests, ~500 protein targets

Said nearby on the same subject

“We trained models on internal data and then predicted on external data… total number of tests … like 13 million across 500 protein targets.”
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How they work 13 million tests across ~500 protein targets Share this moment
“Set up Rate My Clinic where people can get assessments done, find out how they compare on each of those different benchmarks. And importantly, recommendations on how to improve”
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“We assembled the largest possible data set… 34 billion proteins… then you’d just use a hidden Markov model and match… Cas9”
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“Only 1.6% of Torquay 1930 its triples break this rule, and 0.5% of Lama's, against 9% and 13% for the two base models.”
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How they work Transitivity violations drop to 1.6% (vs 9% for base) and 0.5% for Lam… Share this moment

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