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AI-based peptide design
AI-based peptide design
We develop functional peptide ligands using AI-assisted structure prediction and computational modeling.
Peptide candidates are designed and optimized based on target protein structures, binding interfaces, and predicted peptide conformations.
Biotherapeutics: Parkinson’s disease and cancer
Biotherapeutics: Parkinson’s disease and cancer
We develop peptide-based biotherapeutic strategies for disease-related target proteins, including neurodegenerative diseases and cancer.
Our research focuses on peptide ligands that can be applied to targeted protein modulation and degradation platforms such as LYTAC and PROTAC.
These approaches aim to regulate pathogenic proteins by selective binding, delivery, or degradation.
Peptidomimetics
Peptidomimetics
We are developing peptidomimetics by incorporating non-natural amino acid residues. Peptides are prepared by solid-phase peptide synthesis.
Bio-tools
Bio-tools
We develop peptide-based bio-tools for molecular and cellular studies.
These tools are designed for target recognition, biomolecule delivery, and cell-based functional screening
Peptide assembly
Peptide assembly
We develop peptide-based assembly systems for advanced functional materials and computational design platforms.
Our research explores peptide-driven two-dimensional materials for semiconductor-related applications and gelation systems as model platforms for predicting and controlling peptide assembly behavior.
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