Area of research
Computational Theory and Mathematics · Molecular Biology
Research interest
Research interests include Computational Drug Discovery Methods, Machine Learning in Bioinformatics, Cell Image Analysis Techniques, and Pharmacogenetics and Drug Metabolism.
druglikeFilter 1.0: An AI powered filter for collectively measuring the drug-likeness of compounds
Discovery of selective HDAC6 inhibitors driven by artificial intelligence and molecular dynamics simulation approaches
Navigating the data processing for cytometry-based single-cell proteomics
Identification of natural product-based drug combination (NPDC) using artificial intelligence
INTEDE 2.0: the metabolic roadmap of drugs