A Research Group At University of Central Florida

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    • Our Team
    • Publications & projects
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    • Partnering
    • Contact US

Transilico

  • Home
  • Our Team
  • Publications & projects
  • Blog & News
  • Partnering
  • Contact US

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Disease and Target based Molecular Benchmark

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One of the Biggest Molecular Data Collected for Covid-19

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DeepMalaria

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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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.

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Successful Projects

AMPDeep

ECG Arrhythmia Classification

ECG Arrhythmia Classification

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.

ECG Arrhythmia Classification

ECG Arrhythmia Classification

ECG Arrhythmia Classification

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.

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Ongoing Projects

Allele Frequency Prediction

Sequence-Based Protein Classification

Sequence-Based Protein Classification

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.

Sequence-Based Protein Classification

Sequence-Based Protein Classification

Sequence-Based Protein Classification

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!

Drug Design

Sequence-Based Protein Classification

Drug Design

One important AI's application in drug discovery is expanding chemical space and targeting unknown molecules and mechanisms. GAN related algorithms are helping us comping up with more diverse, complex and unusual molecules.


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