Current Research Interests
Our ultimate goal is to understand detailed mechanisms underlying biological phenomena using computational and theoretical tools, and to contribute to curing diseases using the knowledge obtained from such studies. We are currently developing mathematical and computational techniques to model and to simulate biomolecules more efficiently and accurately. An example is an analytical loop closure method that can be used to model flexibilities in proteins loops and cyclic peptides. We will apply these methods to prediction of protein structures and biomolecular interactions, and also extend such experiences to design of new drugs and proteins.
Our ultimate goal is to understand detailed mechanisms underlying biological phenomena using computational and theoretical tools, and to contribute to curing diseases using the knowledge obtained from such studies. We are currently developing mathematical and computational techniques to model and to simulate biomolecules more efficiently and accurately. An example is an analytical loop closure method that can be used to model flexibilities in proteins loops and cyclic peptides. We will apply these methods to prediction of protein structures and biomolecular interactions, and also extend such experiences to design of new drugs and proteins.