ArticleCurrent topics in medicinal chemistry2011
Thermal motions of the E. coli glucose-galactose binding protein studied using well-sampled, semi-atomistic simulations.
Article in Current topics in medicinal chemistry, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed, 3 citations in OpenAlex.
- Tunable, mixed-resolution modeling using library-based Monte Carlo and graphics processing units.Journal of chemical theory and computation · 2012Article
- Expanding the conformational selection paradigm in protein-ligand docking.Methods in molecular biology (Clifton, N.J.) · 2012Article
- Absolute free energies estimated by combining precalculated molecular fragment libraries.Journal of computational chemistry · 2009Article
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4 authors at 1 institution in 1 country.
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Abstract
The E. coli glucose-galactose chemosensory receptor is a 309 residue, 32 kDa protein consisting of two distinct structural domains. We used two computational methods to examine the protein's thermal fluctuations, including both the large-scale interdomain movements that contribute to the receptor's mechanism of action, as well as smaller-scale motions. We primarily employ extremely fast, "semi-atomistic" Library-Based Monte Carlo (LBMC) simulations, which include all backbone atoms but "implicit" side chains. Our results were compared with previous experiments and all-atom molecular dynamics (MD) simulation. Both LBMC and MD simulations were performed using both the apo and glucose-bound form of the protein, with LBMC exhibiting significantly larger fluctuations. The LBMC simulations are in general agreement with the disulfide trapping experiments of Careaga & Falke (J. Mol. Biol., 1992, Vol. 226, 1219-35), which indicate that distant residues in the crystal structure (i.e. beta carbons separated by 10 to 20 angstroms) form spontaneous transient contacts in solution. Our simulations illustrate several possible "mechanisms" (configurational pathways) for these fluctuations. We also observe several discrepancies between our calculations and experimental rate constants. Nevertheless, we believe that our semi-atomistic approach could be used to study fluctuations in other proteins, perhaps for ensemble docking or other analyses of protein flexibility in virtual screening studies.
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