Zan Luthey-Schulten, Taras Pogorelov, Chad Rienstra, and Martin Burke represent two of 34 teams who have received allocations of computation time on the Blue Waters supercomputer.
Zaida (Zan) Luthey-Schulten
Professor Schulten received a B.S. in Chemistry from the University of Southern California in 1969, a M.S. in Chemistry from Harvard University in 1972, and a Ph.D. in Applied Mathematics from Harvard University in 1975. From 1975 to 1980 she was a Research Fellow at the Max-Planck Institute for Biophysical Chemistry in Goettingen, and from 1980 to 1985 a Research Fellow in the Department of Theoretical Physics at the Technical University of Munich.
- computational studies of biomolecular energy landscapes to explore the evolution of structure, folding and function; statistical methods of protein folding - thermodynamics and kinetics; design of optimized energy functions for protein structure prediction; structural genomics of metabolic pathways.
Research: Energy Landscapes of Biological Molecules Exploring the Evolution of Structure Function/Folding
Evolution of Translation
Origins of Life
Prediction of Protein Structure and Function with QR profiles
Docking with Steered Molecular Dynamics (SMD)
VMD/Multiple Alignment: Evolutionary Analysis Tools
Protein Folding: Hybrid Molecular Dynamics
Distinctions / Awards
- Fellow, American Physical Society, 2000
- Fellow, Advanced Studies Institute, Hebrew University, Israel, 1998
In The News
Chemistry faculty and affiliates, including Zan Luthey-Schulten, Klaus Schulten, Martin Gruebele, and Taekjip Ha, are part of group grant proposal that has been recommended for funding by the NSF's Physics Frontiers Centers.
Professer Zan Luthey-Schulten's Lab has recently been highlighted in the Journal of the American Chemical Society (JACS) and Journal of Computational Chemistry.
Researchers have built a computer model of the crowded interior of a bacterial cell that – in a test of its response to sugar in its environment – accurately simulates the behavior of living cells.
In a new study, researchers at the University of Illinois have identified and visualized the signaling pathways in protein-RNA complexes that help set the genetic code in all organisms. The genetic code allows information stored in DNA to be translated into proteins.