A Research Group At University of Central Florida
AI for Biomedicine
Our lab is dedicated to discovering molecules and biological patterns using Artificial Intelligence!
We are dedicated to serve our community!
MolData, a Molecular Benchmark for Machine Learning
MolData is one of the biggest benchmarks published for the molecular benchmark. Transilico Research Group has collected 600 distinct PubChem dataset and labeled them each for specific diseases and protein Targets. MolData consists of about 170m data points resulting from multiple HTS assays performed on 1.4m molecules.
Data Collection (CoronaDB-AI) & Drug Discovery for COVID-19
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
Our Recent Works
Transilico's Article for COVID-19
AI for Drug Discovery, Transilico's Book Chapter
AI for Drug Discovery, Transilico's Book Chapter
One of the Biggest Molecular Dataset for Covid-19
AI for Drug Discovery, Transilico's Book Chapter
AI for Drug Discovery, Transilico's Book Chapter
AI for Drug Discovery, Transilico's Book Chapter
Book Name: Artificial Intelligence for Healthcare Delivery by Sandeep Reddy
Our Whitepaper of AI Applications for Pandemics
AI for Drug Discovery, Transilico's Book Chapter
Our Whitepaper of AI Applications for Pandemics
This white paper is from RE.WORK company
Our Successes
DeepMalaria (Malaria Drug Discovery)
DeepMalaria (Malaria Drug Discovery)
DeepMalaria (Malaria Drug Discovery)
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!
AMPDeep (Cancer Therapy)
DeepMalaria (Malaria Drug Discovery)
DeepMalaria (Malaria Drug Discovery)
AMPDeep is a state of art NLP-based model with the highest accuracy reached for identifying AMPs.
TranScreen (Cancer Therapy)
DeepMalaria (Malaria Drug Discovery)
TranScreen (Cancer Therapy)
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
10 breakthrough Technologies of 2020 by MIT
Partners
