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A custom graph neural network architecture trained on highly curated multimodal data, capable of screening over a billion molecules in less than a day to accurately predict the...
A custom graph neural network architecture trained on highly curated multimodal data, capable of screening over a billion molecules in less than a day to accurately predict the kinome-wide selectivity of small molecules.
Platforms, integrations, and language support vary by plan and region. Confirm final requirements with the vendor.
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Compliance claims are normalized from current vendor documentation and independently reviewed by SOTA2.