“We had this growing collection of activity cliffs and profiles of the same chemical material across large numbers of proteins”
IQ
Ian Quigley Leash Bio
Latent Space: The AI Engineer Podcast ·
Ian Quigley · Latent Space: The AI Engineer Podcast · Lab-in-the-Loop at Compute Speed - Ian Quigley, Leash Bio
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Create negative training examples by mutating a protein pocket and running a competitive assay with a known binder to see which chemical series disappear
“We had this growing collection of activity cliffs and profiles of the same chemical material across large numbers of proteins”
“I did what is now becoming quite a signature known service, which is creating a bespoke customer framework… I don’t do scripting. I don’t do role plays. I don’t do any of this old, cringy rubbish”
“We started mapping out all the physical attributes and biometrics… we measure those 86 muscles… train it on the known relationships”
“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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