Ruhong Zhou
Location: (Yorktown Heights, NY)
Personal Research Web Page: http://researcher.watson.ibm.com/researcher/view.php?person=us-ruhongz
Keywords: High Performance Computing, Massively Parallel Programming, Computational Biology and Bioinformatics, Multiscale Modeling, Molecular Dynamics, Protein Science
Posted on: Tuesday, May 18th, 2010
Broad Research Area: Numerical/Scientific Computing / HPC / Data-Intensive Scalable Computing, Scientific/Medical Informatics, Theory / Algorithms
Research Interests:
The main research theme of my group is to understand the relationship between protein sequence, structure, and function, which is of fundamental importance in life science and the health care industry. We address important questions and problems in proteomics, structural biology, and biomolecular dynamics, using computational biology and bioinformatics approaches. In particular, we develop methodologies and techniques for massively parallel supercomputers such as the IBM Blue Gene, and other high performance computing (HPC) platforms such as grid computing and cloud computing. The group pursues a broad but well grounded approach to leverage and expand upon our existing techniques for scientific and technological advancement.
The current research projects in our group include: (1). Development of novel methods for parallel multi-scale modeling of complex biological systems. (2). Free energy perturbation (FEP) methods for large scale protein-protein, protein-ligand binding affinity predictions. (3) Influenza modeling with both statistical models using bioinformatics tools and physics-based models using molecular dynamics simulations. (4) Protein folding, misfolding, and aggregation with massively parallel molecular dynamics simulations. (5) Interactions of nanoparticles with biological systems and the related mechanism of nanotoxicity. The group is also actively engaged in research projects on modeling of GPCR, and proteomics/biomarkers.
Contact Information:
Email: ruhongz@us.ibm.com, rz24@columbia.edu
