Date |
2:00pm July 14, 2022 |
Speaker |
Jiangning Song
Biomedicine Discovery Institute and Department of Biochemistry and MolecularBiology, Monash University, Australia
|
Title |
Artificial intelligence to explore multi-modality molecular data and accelerate biomedical knowledge discovery
|
Abstract
|
The rapid accumulation of molecular data motivates development of innovative approaches to computationally characterize sequences, structures and functions of biological and chemical molecules in an efficient, accessible and accurate manner. We address this vital need by developing holistic software platforms that can generate features from sequence and structural data for a diverse collection of molecule types. Our freely available and easy-to-use AI platforms can generate, analyse and visualize more than 180 representations for biological sequences, structures and ligands. With the assistance of the AI tools, users can encode their molecular data into representations that facilitate construction of predictive models and analytical studies. In my presentation, I will illustrate how such AI tools can be used to accelerate and streamline research in bioinformatics, computational biology, and cheminformatics areas.
|
|