Area of research
Computational Theory and Mathematics · Molecular Biology
Research interest
Research interests include Computer science, Artificial intelligence, Computational biology, RNA, Deep learning, and Docking (animal).
Robust enzyme discovery and engineering with deep learning using CataPro
Accurate RNA 3D structure prediction using a language model-based deep learning approach
Fast, sensitive detection of protein homologs using deep dense retrieval
Advancing ecotoxicity assessment: Leveraging pre-trained model for bee toxicity and compound degradability prediction
Improving protein–ligand docking and screening accuracies by incorporating a scoring function correction term
Comprehensive Analysis of ERK1/2 Substrates for Potential Combination Immunotherapies