Cell is a molecular network formed by the interactions between biomolecules (proteins, nucleic acids and sugar) and small molecules. Investigating the structure and dynamics of these molecules and the network formed by them is the basis of understanding the law of cell motion. The aim of our institute is to study computationally and experimentally the structure, dynamics, interaction and network of biomolecules, build theoretical model and explore the fundamental law.
Our research groups and interests include:
The interests of Xiao’s group is in studying the mechanism of protein and RNA folding and prediction of structure, interaction and function of nucleic acids and proteins. The main works include the studies of in vivo folding of proteins and RNAs and the construction of methods of three-dimensional structure prediction of nucleic acid and their complexes: 3dRNA and 3dRPC.
We develop physics-based computational algorithms for biomolecular interactions. Our research interests focus on molecular modeling, bioinformatics, and computational biophysics/biology for protein/RNA structure prediction and interactions, including protein-ligand interactions, protein-protein interactions, molecular docking, energy scoring function, and modeling of quantitative structure-function relationships of therapeutically important proteins.
The B. Xiao group uses advanced physical tools to measure, manipulate, and analyze the movements of single molecules in order to solve compelling biomedical problems. Example techniques are magnetic tweezers, optical tweezers, biomembrane force probe, fluorescent imaging, molecular cloning, gel and air filtration. The applications include nucleic acids organization and recombination, protein-ligand interactions, PM2.5 and cell adhesion, mathematical modeling and quantitative analysis.
Chen’s group work on the development of the free energy calculation method and the dynamic sampling method, and apply the methods to search the optimal transition path in the biological reactions.
Associate Prof. Shiyong Liu
The research of Liu’s group includes understanding the relationship between sequence, structure and function of protein and RNA by computational method and deep learning algorithm with the high-throughput sequencing data. We have successfully designed functional protein and peptide, scoring function for protein-protein docking, RNA-protein complex structure prediction approaches.