Resource Statistics Workshop on Computational Biophysics 2026
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NAMD 3.1 (available in the Nightly
Builds directory) now supports trajectory output for atom selections with different frequencies. This feature helps users save significant storage space by retaining high-frequency outputs only for regions of greatest interest and reduce the writing frequency for the rest of the system. The user can set different writing frequencies to different selections and compose trajectories as needed for analysis. The result is streamlined post-processing, easier segmented analysis by .dcd file, and faster data transfers.
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.
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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.
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Remembering Klaus Schulten
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Highly Cited
Models of orientation and ocular dominance columns in the visual cortex: A critical comparison. Neural Computation, 7:425-468, 1995.
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Click here for other highly cited papers





