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Follow \@tcbguiucHighlight: When artificial intelligence reveals the secrets of life's molecular machines (Previous Highlights) Tweet
Biomolecules constantly change shape, but many biologically important processes occur too slowly to be captured by conventional molecular simulations. Gen-COMPAS uses AI to identify rare molecular events, discover intermediate structures, and reconstruct transition pathways. Using computing resources accessible to most research groups and NAMD, it revealed an intermediate state for a complex membrane protein that was subsequently validated experimentally. Rather than moving molecules faster, Gen-COMPAS learns where to look, opening new ways to uncover how molecular machines make life possible. Read more in a recent paper in Nature by Chipot and colleagues.
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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Computational Biology of Membrane Proteins
Since 1988 Illinois researchers have consistently honed their skills in parallel computing, which enabled them to elucidate dynamic processes occurring in many membrane proteins and produce exciting discoveries. By Lisa Pollack
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Recent Publications All Publications
- Probing Solution Dynamics of Tissue Factor Using Molecular Dynamics Simulations Guided by NMR Chemical Shifts. J. Phys. Chem. B, 2026.
- Elucidating the binding and metabolic interactions of sunitinib and sorafenib with cytochrome P450s CYP2U1 and CYP2D6. Mol. Pharmacol., 108(4):100114. 2026.
- LetA defines a structurally distinct transporter family. Nature, 651(8107): 1097–1106. 2026.
- Single-Molecule Electron Transport in Peptoids. J. Phys. Chem. B, 130(11):3054–3064. 2026.
- Cholesterol efflux protein, ABCA1, supports anticancer functions of myeloid immune cells. Sci. Adv., 12(1):eadx5490. 2026.
- Thermodynamic and Kinetic Analysis of Molecular Conformational Dynamics in a Riemannian Framework. J. Phys. Chem. A, 130(5):1220–1232. 2026.
- Simulating Gas Permeation Through the Central Pore of AQP5. Adv Exp Med Biol., 1498:105–113. 2026.
Highly Cited
A "neural gas" network learns topologies. Artificial Neural Networks, pp. 397-402. Elsevier, Amsterdam,
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