Klaus Schulten Memorial Symposium

The Symposium will be held on November 7-9, 2017 in the auditorium at the Beckman Institute. More information will be provided at a later date.
“When I was a young man, my goal was to look with mathematical and computational means at the inside of cells, one atom at a time, to decipher how living systems work. That is what I strived for and I never deflected from this goal.”

Klaus Schulten, professor of physics and Beckman Institute faculty member for nearly 25 years, has died after an illness. Schulten, who led the Theoretical and Computational Biophysics Group, was a leader in the field of biophysics, conducting seminal work in the area of molecular dynamics simulations, illuminating biological processes and structures in ways that weren’t possible before. His research focused on the structure and function of supramolecular systems in the living cell, and on the development of non-equilibrium statistical mechanical descriptions and efficient computing tools for structural biology. Schulten received his Ph.D. from Harvard University in 1974. At Illinois, he was Swanlund Professor of Physics and was affiliated with the Department of Chemistry as well as with the Center for Biophysics and Computational Biology; he was Director of the Biomedical Technology Research Center for Macromolecular Modeling and Bioinformatics as well as Co-Director of the Center for the Physics of Living Cells.





Highlights of our Work

Highlight: VMD 1.9.3 Brings Simulations Into Focus

VMD 1.9.3 release incorporates QwikMD, many rendering features.

image size: 2.2MB
made with VMD

The latest release of VMD brings many advances that help researchers prepare, analyze, and visualize molecular simulations. The new QwikMD plugin streamlines key simulation preparation and analysis tasks, and guides users in the creation of reusable simulation workflows and protocols. VMD now includes several advanced features for parallel analysis and visualization of cellular-scale simulations, as reported here, and here. VMD 1.9.3 strengthens collaboration between experimental and computational biologists by supporting a broader range of experimental density map image formats, such as those used in cryo-electron tomography. Many updated plugins are included in VMD 1.9.3, including tools for analysis of free energy perturbation simulations, MDFF hybrid structure fitting, ffTK force field parameterization, and normal mode analysis. VMD 1.9.3 adds support for new hardware and operating system platforms including IBM OpenPOWER (ORNL Summit), a variety of GPU-accelerated ARM SoCs, the Amazon AWS EC2 cloud, and most recently, the Intel Xeon Phi Knight's Landing many-core CPU (TACC Stampede 2, Argonne Theta). The VMD 1.9.3 release adds stunning graphics produced using interactive ray tracing using the latest multi-core CPUs and GPU accelerators, enabling 360-degree panoramic movie rendering for VR headsets, as reported here, and here. Interactive ray tracing makes the task of getting a molecular image "just right" much easier than ever before; it also enables rendering of spectacular movies for communication of scientific results. A VR movie rendering tutorial assists users with the steps required in rendering and encoding VR movies for upload to YouTube for display using VR headsets such as Google Cardboard, Oculus Rift, and GearVR. More details about VMD 1.9.3 features can be found here.
Editorials

The Future of Biomolecular Modeling

A 2015 TCBG Symposium brought together scientists from across the Midwest to brainstorm about what's on the horizon for computational modeling. See a summary of what these experts foresee. Read more

The Annals of MDFF

MDFF is a computational method that yields structures of massive biomolecular assemblies at atomic detail, using hybrid experimental data. Now Illinois scientists are applying MDFF to fascinating systems like the ribosome and HIV. By Lisa Pollack. Read more

Announcements

Hybrid QM/MM calculations now available in NAMD 2.12Hands-on Workshop on Computational Biophysics at Urbana, ILResearchers solve the atomic structure of stalled ribosomeNAMD 2.12 is released

Introducing

Sanjay Kale, Faculty - Computer Science

Seminars

  • 17 Apr 2017 - Jason Ridlon
  • Research

    RSS Feed

    Software

    Outreach

    Recent Publications RSS Feed All Publications

    Recent Reviews


    All Reviews

    Highly Cited

    TCB Group