How it works

We use deep learning, chemogenomics and text mining to accurately predict novel drug targets or to identify new therapeutic opportunities for advanced compounds.
For novel drug target discovery, our algorithm first mines primary genomics data for an association between genes and diseases. Next, it checks if proteins produced by the genes associated with a disease are suitable drug targets. We do it by mining large volumes of secondary data - databases, patents, medical records and publications - using deep learning techniques.
For retargeting, our algorithm takes advanced compound screening libraries and then mines medical records and existing primary and secondary data to find new therapeutic opportunities.

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Research platform

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