RESEARCH GROUPS

Study on the role of post-translational modifications through chemical synthesis

Elucidation of the structural mechanism of transmembrane signaling and development of protein therapeutics

Create highly functional artificial proteins and understand the membrane systems present in living organisms

Quantitative imaging and perturbation to understand the role of heat in biological systems

Synthesis of cell functions by design to understand biological systems

Structure and function of interacting proteins as revealed by NMR

Protein structure at high resolution by crystallography, and Supramolecular structure by Cryo-EM

Structural and functional analysis of the motor proteins by Cryo-EM

Structure determination of biological macromolecues using X-ray diffraction and cryoEM

Understanding how living organisms recognize the external world through the structure and function of protein molecules

Understanding of central nervous system development from gene to neuronal function and human disease

Studying the mechanisms of genome stability & instability in eukrayotes

Elucidation of molecular mechanisms of chloroplast biogenesis in plants and algae

Understanding a cell, the smallest unit of life, as a dynamic system of molecules

From the elucidation of biological mechanisms using computational approaches towards drug discovery and other applications

Elucidating correlation between structure, dynamics and biological functions of macromolecular proteins by advanced NMR

Development of synchrotron radiation structural biology

Support for the structural analysis of the biological samples by Cryo-EM

Supporting protein analysis by N-terminal sequencing, HPLC etc.

Develop methods for protein design using computational and experimental approaches

Discovering biologically relevant dynamics of protein structures through computational modeling and simulations

Managing the single global database (PDB) collaborating with other data centers in USA and Europe

Elucidating protein-protein interactions and protein-DNA interactions as a protein network to understand cell control mechanisms from its network dynamics

Aiming to advance drug discovery and health research by applying computational techniques such as artificial intelligence and machine learning to genes, proteins, and chemical data

Uncovering the mechanisms governing homeostasis and dynamics of multicellularity through cell-extracellular matrix interactions