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| Theoretical and Computational Biophysics Group | |
|---|---|
| Name | Theoretical and Computational Biophysics Group |
| Established | 1990s |
| City | Urbana-Champaign |
| State | Illinois |
| Country | United States |
| Affiliations | Beckman Institute for Advanced Science and Technology, University of Illinois Urbana–Champaign |
Theoretical and Computational Biophysics Group is a research collective specializing in computational modeling, theoretical analysis, and software development for biomolecular systems. The group operates at the intersection of structural biology, biophysics, and computational chemistry, producing algorithms and programs used widely by researchers in academia and industry. It is housed within a major public university and interfaces with national laboratories, scientific societies, and international research consortia.
The group's origins trace to collaborations among faculty at University of Illinois Urbana–Champaign, linked with centers such as the Beckman Institute for Advanced Science and Technology and departments including Department of Physics (University of Illinois Urbana–Champaign), Department of Chemistry (University of Illinois Urbana–Champaign), and School of Biosystems and Agricultural Engineering. Early projects connected to initiatives funded by the National Science Foundation, National Institutes of Health, and partnerships with facilities like Argonne National Laboratory and Brookhaven National Laboratory. Over time the group contributed to milestones associated with computational efforts parallel to work at Los Alamos National Laboratory, Lawrence Berkeley National Laboratory, and collaborations with laboratories at Massachusetts Institute of Technology, Stanford University, Harvard University, California Institute of Technology, University of California, Berkeley, University of California, San Diego, University of Cambridge, University of Oxford, ETH Zurich, Max Planck Society, CNRS, Riken, and RIKEN Center for Computational Science.
Research spans atomistic molecular dynamics, continuum electrostatics, coarse-grained modeling, enhanced sampling, and integrative structural prediction. Themes link to problems studied at National Institutes of Health, such as membrane protein folding, enzyme catalysis, ligand binding, and nucleic acid dynamics, and align with computational programs at European Molecular Biology Laboratory, Wellcome Trust Sanger Institute, Francis Crick Institute, Howard Hughes Medical Institute, and European Research Council projects. Theoretical frameworks draw on statistical mechanics used in studies from Princeton University, Yale University, Columbia University, University of Chicago, New York University, University of Pennsylvania, Johns Hopkins University, and Duke University. Applied research interfaces with pharmaceutical companies and consortia like Pfizer, Merck & Co., GlaxoSmithKline, Novartis, and initiatives related to Human Genome Project and structural databases such as Protein Data Bank.
The group develops widely used computational packages and utilities that complement software from entities like Schrödinger (company), OpenEye Scientific, Accelrys, GROMACS development team, AMBER development community, CHARMM developers, NAMD developers, LAMMPS developers, and tools hosted by European Bioinformatics Institute. Their toolchain integrates with platforms such as Hadoop, Spark (software), and high-performance libraries used on machines at Oak Ridge National Laboratory, TACC, and cloud providers like Amazon Web Services, Google Cloud Platform, and Microsoft Azure. Code contributions follow practices seen in projects from Linux Foundation, Apache Software Foundation, and collaborative models employed by GitHub. Documentation and tutorials parallel outreach from Cold Spring Harbor Laboratory, EMBL-EBI training, and summer schools modeled after programs at Institute for Advanced Study and Sloan Kettering Institute.
Publications appear in outlets such as Nature, Science, Cell, Proceedings of the National Academy of Sciences of the United States of America, Journal of Chemical Physics, Biophysical Journal, Journal of Molecular Biology, Nature Communications, PLoS Computational Biology, The Journal of Physical Chemistry B, Structure (journal), Annual Review of Biophysics, Current Opinion in Structural Biology, and thematic issues coordinated with conferences like Gordon Research Conferences and Biophysical Society meetings. Papers cite methodologies related to landmark studies originating from groups at Stanford University School of Medicine, Harvard Medical School, Yale School of Medicine, MIT Department of Biology, and computational advances paralleling work at IBM Research and Microsoft Research.
The group secures funding from agencies and foundations including the National Science Foundation, National Institutes of Health, Department of Energy, Human Frontier Science Program, Wellcome Trust, European Commission, and private foundations such as Gordon and Betty Moore Foundation, Simons Foundation, and Alfred P. Sloan Foundation. Collaborative networks include ties to consortia at European Molecular Biology Laboratory, multi-institution projects funded by the European Research Council, and partnerships with industrial research labs at Pfizer, Merck & Co., GlaxoSmithKline, Roche, and technology collaborations with Intel Corporation and NVIDIA. Outreach and education align with programs supported by Howard Hughes Medical Institute and interinstitutional initiatives involving University of Illinois System campuses, Iowa State University, Purdue University, University of Minnesota, and international partners such as University of Tokyo and Seoul National University.
Computational work uses local clusters and national supercomputing resources including allocations on systems at National Energy Research Scientific Computing Center, Oak Ridge Leadership Computing Facility, Argonne Leadership Computing Facility, Texas Advanced Computing Center, and grid resources coordinated with XSEDE. Storage and data services mirror infrastructures provided by European Bioinformatics Institute and cloud collaborations with Amazon Web Services and Google Cloud Platform. Laboratory facilities interface with central facilities like the Beckman Institute, cryo-electron microscopy centers akin to National Center for CryoEM Access and Training, and structural biology cores modeled after those at Broad Institute and Howard Hughes Medical Institute‑funded centers.
Alumni have taken positions at institutions including University of California, San Francisco, University of California, Berkeley, Columbia University, Princeton University, Brown University, University of Washington, Imperial College London, University of Cambridge, University of Oxford, ETH Zurich, Max Planck Society institutes, CNRS laboratories, and industry roles at Google DeepMind, Schrödinger (company), NVIDIA, Pfizer, and Novartis. Members have participated in conferences organized by Gordon Research Conferences, Biophysical Society, International Conference on Computational Science, and contributed to community standards associated with Protein Data Bank and software initiatives echoed by the Open Source Initiative.
Category:Computational biology research groups