Structural Biology/Biochemistry Seminar
Tuesday Nov. 18, 2014
11:15 AM in 112 KLB
“Exploring energy landscapes of proteins: binding and folding”
Dr. Ronald Levy
Professor of Biophysics and Computational Biology
Director of the Center for Biophysics and Computational Biology
Host: Dr. Wei Yang
We use a combination of computer simulations, statistical mechanics, and modeling to study the structure, function, folding, and dynamics of proteins in solution. We are interested in the interplay between computational models and experiments at different levels of spatial and temporal resolution from atomic to mesoscopic, and from femtoseconds to seconds or longer.
Our current research activities include:
- New multi-scale models, effective potentials, and sampling methods for molecular simulations
- Protein folding and misfolding: fundamental physics, health-related applications
- Ligand binding to protein receptors and drug design
- Protein evolution, stability, and drug resistance: bioinformatics and biophysics
The Center for Biophysics & Computational Biology (CB2) is home to leading-edge computational research at the intersection of biology, chemistry, and biophysics. Researchers at CB2 perform theoretical and experimental research on defining problems in structural biology, molecular recognition, and the evolution of proteins. Molecular simulations have come to play a central role in these fields as they help us to develop our intuition about the behavior of models which link biological structures to function. Protein folding and misfolding, ligand binding and molecular recognition, biological machines used for transport and signaling, these are some of the research areas greatly enriched by computational approaches based on molecular simulations.
Current research activities at CB2 include the development of new multi-scale models, effective potentials, and sampling methods for molecular simulations; protein folding and misfolding; fundamental physics and health related applications; ligand binding to protein receptors and drug design; protein evolution, stability, and drug resistance; and bioinformatics and biophysics.