From the 1 of 4 linked papers with an AI index.
4 papers
PRIME: Protein Representation via Physics-Informed Multiscale Equivariant Hierarchies
Viet Thanh Duy Nguyen, John K. Johnstone, Truong-Son Hy
The paper presents PRIME, a physics‑informed multiscale hierarchical graph framework that models proteins at five structural levels and enables bidirectional information flow, achi…
LINKER: Learning Interactions Between Functional Groups and Residues With Chemical Knowledge-Enhanced Reasoning and Explainability
Phuc Pham, Viet Thanh Duy Nguyen, Truong-Son Hy
Accurate identification of interactions between protein residues and ligand functional groups is essential to understand molecular recognition and guide rational drug design. Exist…
Multimodal Contrastive Representation Learning in Augmented Biomedical Knowledge Graphs
Tien Dang, Viet Thanh Duy Nguyen, Minh Tuan Le +1
Biomedical Knowledge Graphs (BKGs) integrate diverse datasets to elucidate complex relationships within the biomedical field. Effective link prediction on these graphs can uncover…
Advances in Protein Representation Learning: Methods, Applications, and Future Directions
Viet Thanh Duy Nguyen, Truong-Son Hy
Proteins are complex biomolecules that play a central role in various biological processes, making them critical targets for breakthroughs in molecular biology, medical research, a…