Data Science in Disease Prediction via Establishment of Molecular Grammar
Description
Biomolecules are interconnected to create collaborative effects on biological pathways in disease, such as protein aggregation in neurodegenerative diseases and inflammatory diseases.
The short linear motif for protein-protein interaction and protein-lipid interactions is critical in understanding the macromolecular complex's first order assembly for various disease
processes. This data-science project will integrate interactome-based datasets, molecule interaction prediction, and molecular dynamic simulation to explore the frontier biomolecular
assembly research in disease via the data science system.
