Research Group At University of Central Florida
Welcome
AI for Biomedicine
We're dedicated to discovering molecules and biological patterns using Artificial Intelligence!
Research Group At University of Central Florida
We're dedicated to discovering molecules and biological patterns using Artificial Intelligence!
We collected one of the biggest molecular dataset entitled CoronaDB-AI. The mentioned dataset will be helping scientists to find better treatments using computational approaches.
In Collaboration With Scientists From:
Atomwise,
A2A Pharma,
University of California SF,
University of Arizona
One of the Biggest Molecular Dataset for Covid-19
Book Name: Artificial Intelligence for Healthcare Delivery by Sandeep Reddy
This white paper is from RE.WORK company
We are experts with computational, chemical and biomedical background working on AI-related models for better prediction of molecules' potency.
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.
TranScreen is a state of the art model which is constructed by training at least 180 GCNN.
Our molecular target is p53 which is one of the most important biomarkers for cancer.
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!
Our molecular target is p53 which is one of the most important biomarkers for cancer.
Transfer Learning implementation had an AUC increase from 0.75 to 0.91
Pictures' links contain regarding source website