We're dedicated to discovering molecules and biological patterns using Artificial Intelligence!
A Research Group at UCF
We are experts with computational, chemical and biomedical background working on AI-related algorithms for better prediction of molecules' potency.
Transfer Learning is the
key to our success
Our DL-model is suitable for non-target based early Drug Discovery. We use GCNN for better prediction of molecules activity against different cells/enzymes.
AMPDeep is our patented model capable of identifying any kind of AMPs with high accuracy with no need to having any knowledge for the target of the peptides.
DeepMalaria discovered a new antimalarial (DC-9237) which is non-toxic, fast-acting and very potent against all stages of Pf. This scaffold will experience Hit to Lead process soon!
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