Representation Learning of Molecules and Proteins and its Applications in Drug Screening
Learning objectives
- Demonstrate the role of representation learning in drug-target interactions and molecular property prediction
- Explore graph-based deep learning techniques for molecule structure representation
- Introduce novel computational frameworks and benchmarks for accelerating drug screening
Speaker biography
Yan Sun is a fifth-year Ph.D. candidate in Computer Science at the University of Manitoba and a visiting student at Western University. Their research focuses on developing deep learning algorithms to enhance molecular and protein representations for drug discovery. Yan has published in leading journals, including Bioinformatics, Nature Communications, and the Journal of Cheminformatics.