Nvidia (NVDA)-backed SandboxAQ said Wednesday it released data that it hopes will facilitate the creation of new computational methods for the identification of new drugs.
The dataset of about 5.2 million computationally folded three-dimensional protein-drug molecule co-structures allows the creation of better models to predict structures and potencies, SandboxAQ said.
The artificial intelligence startup said the dataset includes experimental measurements of a drug's so-called potency, which is connected to how strongly the drug binds to a target protein related to a disease of interest.
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