This lab focuses on computational modeling and data-driven strategies for developing and optimizing cancer immunotherapies, including checkpoint inhibitors and neoantigen-based approaches.
We analyze multi-omics datasets and simulate biological systems to uncover mechanisms behind disease progression and treatment response.
Specialized in structure- and ligand-based design, docking, virtual screening, and QSAR modeling to accelerate novel therapeutic development.
Dedicated to identifying, modeling, and optimizing bioactive compounds from natural sources using cheminformatics and computational tools.
Focuses on computational vaccine design, epitope mapping, and drug modeling against viral, bacterial, and parasitic pathogens.
We integrate genomics, transcriptomics, proteomics, and metabolomics to understand disease pathways and identify diagnostic and therapeutic targets.
Study Alzheimer’s, Parkinson’s, and neuroinflammation using AI and molecular simulation to identify biomarkers and therapeutic targets.
Applies patient-specific omics data and computational algorithms to design personalized therapeutic strategies.
Focuses on repositioning approved drugs and identifying novel targets using AI, network pharmacology, and machine learning techniques.
Provides CRO support for pharma and biotech companies, offering AI-assisted formulation, simulation, and bioprocess optimization.
Dedicated to understanding the molecular basis of rare genetic disorders using computational biology and drug discovery techniques.
Explore personalized drug formulation with 3D printing technology, supported by computational modeling and simulation tools.