A Research Group At University of Central Florida
One of the Biggest Molecular Data Collected for Covid-19
Download PDFDeepMalaria
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!
TranScreen
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.
Anti Microbial Peptides create an important class of novel drug candidates, while low amount of data are available regarding their sequences. AMPDeep overcomes the challenge of low data and beats the state-of-the-art accuracy in prediction of multiple classes of AMPs.
Through deep learning the patterns within the Electrocardiogram signals are learnt and utilized to classify arrhythmia within the patients. This work uses the patterns learnt from the 2D domain (images) to featurize the ECG signals. Results showed an scale-able model which is more accurate than human cardiologists.
Allele frequency tracking after any kind of disturbance such as vaccine introduction is still a big challenge. Transfer Learning Is helping us to make tools better than GWAS related ones to find important SNPs.
Would primary structure of proteins contain most of their characteristics?! AI is helping us uncover the real role of AA layout in proteins. Natural patterns are repeating in DNA and Proteins sequences too!
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