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      Mode of action uncovered for the specific reduction of methane emissions from ruminants by the small molecule 3-nitrooxypropanol.

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          Abstract

          Ruminants, such as cows, sheep, and goats, predominantly ferment in their rumen plant material to acetate, propionate, butyrate, CO2, and methane. Whereas the short fatty acids are absorbed and metabolized by the animals, the greenhouse gas methane escapes via eructation and breathing of the animals into the atmosphere. Along with the methane, up to 12% of the gross energy content of the feedstock is lost. Therefore, our recent report has raised interest in 3-nitrooxypropanol (3-NOP), which when added to the feed of ruminants in milligram amounts persistently reduces enteric methane emissions from livestock without apparent negative side effects [Hristov AN, et al. (2015) Proc Natl Acad Sci USA 112(34):10663-10668]. We now show with the aid of in silico, in vitro, and in vivo experiments that 3-NOP specifically targets methyl-coenzyme M reductase (MCR). The nickel enzyme, which is only active when its Ni ion is in the +1 oxidation state, catalyzes the methane-forming step in the rumen fermentation. Molecular docking suggested that 3-NOP preferably binds into the active site of MCR in a pose that places its reducible nitrate group in electron transfer distance to Ni(I). With purified MCR, we found that 3-NOP indeed inactivates MCR at micromolar concentrations by oxidation of its active site Ni(I). Concomitantly, the nitrate ester is reduced to nitrite, which also inactivates MCR at micromolar concentrations by oxidation of Ni(I). Using pure cultures, 3-NOP is demonstrated to inhibit growth of methanogenic archaea at concentrations that do not affect the growth of nonmethanogenic bacteria in the rumen.

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          Most cited references65

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          Is Open Access

          <i>Coot</i> : model-building tools for molecular graphics

          Acta Crystallographica Section D Biological Crystallography, 60(12), 2126-2132
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            Glide: a new approach for rapid, accurate docking and scoring. 1. Method and assessment of docking accuracy.

            Unlike other methods for docking ligands to the rigid 3D structure of a known protein receptor, Glide approximates a complete systematic search of the conformational, orientational, and positional space of the docked ligand. In this search, an initial rough positioning and scoring phase that dramatically narrows the search space is followed by torsionally flexible energy optimization on an OPLS-AA nonbonded potential grid for a few hundred surviving candidate poses. The very best candidates are further refined via a Monte Carlo sampling of pose conformation; in some cases, this is crucial to obtaining an accurate docked pose. Selection of the best docked pose uses a model energy function that combines empirical and force-field-based terms. Docking accuracy is assessed by redocking ligands from 282 cocrystallized PDB complexes starting from conformationally optimized ligand geometries that bear no memory of the correctly docked pose. Errors in geometry for the top-ranked pose are less than 1 A in nearly half of the cases and are greater than 2 A in only about one-third of them. Comparisons to published data on rms deviations show that Glide is nearly twice as accurate as GOLD and more than twice as accurate as FlexX for ligands having up to 20 rotatable bonds. Glide is also found to be more accurate than the recently described Surflex method.
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              Extra precision glide: docking and scoring incorporating a model of hydrophobic enclosure for protein-ligand complexes.

              A novel scoring function to estimate protein-ligand binding affinities has been developed and implemented as the Glide 4.0 XP scoring function and docking protocol. In addition to unique water desolvation energy terms, protein-ligand structural motifs leading to enhanced binding affinity are included: (1) hydrophobic enclosure where groups of lipophilic ligand atoms are enclosed on opposite faces by lipophilic protein atoms, (2) neutral-neutral single or correlated hydrogen bonds in a hydrophobically enclosed environment, and (3) five categories of charged-charged hydrogen bonds. The XP scoring function and docking protocol have been developed to reproduce experimental binding affinities for a set of 198 complexes (RMSDs of 2.26 and 1.73 kcal/mol over all and well-docked ligands, respectively) and to yield quality enrichments for a set of fifteen screens of pharmaceutical importance. Enrichment results demonstrate the importance of the novel XP molecular recognition and water scoring in separating active and inactive ligands and avoiding false positives.
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                Author and article information

                Journal
                Proc. Natl. Acad. Sci. U.S.A.
                Proceedings of the National Academy of Sciences of the United States of America
                1091-6490
                0027-8424
                May 31 2016
                : 113
                : 22
                Affiliations
                [1 ] Department of Chemistry and Biochemistry, Auburn University, Auburn, AL 36849;
                [2 ] Max Planck Institute for Terrestrial Microbiology, D-35043 Marburg, Germany;
                [3 ] Estación Experimental del Zaidín, Consejo Superior de Investigaciones Cientificas, 18008 Granada, Spain;
                [4 ] Research Centre for Animal Nutrition and Health, DSM Nutritional Products France, 68305 Saint Louis, France;
                [5 ] Research and Development, DSM Nutritional Products, 4002 Basel, Switzerland.
                [6 ] Max Planck Institute for Terrestrial Microbiology, D-35043 Marburg, Germany; thauer@mpi-marburg.mpg.de maik.kindermann@dsm.com.
                [7 ] Research and Development, DSM Nutritional Products, 4002 Basel, Switzerland thauer@mpi-marburg.mpg.de maik.kindermann@dsm.com.
                Article
                1600298113
                10.1073/pnas.1600298113
                27140643
                41e2240b-a874-4d4d-832c-8921d7da11c1
                History

                climate change,enteric methane,greenhouse gas,methanogenesis,methyl-coenzyme M reductase

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