Inviting an author to review:
Find an author and click ‘Invite to review selected article’ near their name.
Search for authorsSearch for similar articles
17
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Atomistic mechanisms underlying the activation of the G protein-coupled sweet receptor heterodimer by sugar alcohol recognition

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          The human T1R2-T1R3 sweet taste receptor (STR) plays an important role in recognizing various low-molecular-weight sweet-tasting sugars and proteins, resulting in the release of intracellular heterotrimeric G protein that in turn leads to the sweet taste perception. Xylitol and sorbitol, which are naturally occurring sugar alcohols (polyols) found in many fruits and vegetables, exhibit the potential caries-reducing effect and are widely used for diabetic patients as low-calorie sweeteners. In the present study, computational tools were applied to investigate the structural details of binary complexes formed between these two polyols and the T1R2-T1R3 heterodimeric STR. Principal component analysis revealed that the Venus flytrap domain (VFD) of T1R2 monomer was adapted by the induced-fit mechanism to accommodate the focused polyols, in which α-helical residues 233–268 moved significantly closer to stabilize ligands. This finding likely suggested that these structural transformations might be the important mechanisms underlying polyols-STR recognitions. The calculated free energies also supported the VFD of T1R2 monomer as the preferential binding site for such polyols, rather than T1R3 region, in accord with the lower number of accessible water molecules in the T1R2 pocket. The E302 amino acid residue in T1R2 was found to be the important recognition residue for polyols binding through a strongly formed hydrogen bond. Additionally, the binding affinity of xylitol toward the T1R2 monomer was significantly higher than that of sorbitol, making it a sweeter tasting molecule.

          Related collections

          Most cited references37

          • Record: found
          • Abstract: found
          • Article: not found

          PROPKA3: Consistent Treatment of Internal and Surface Residues in Empirical pKa Predictions.

          In this study, we have revised the rules and parameters for one of the most commonly used empirical pKa predictors, PROPKA, based on better physical description of the desolvation and dielectric response for the protein. We have introduced a new and consistent approach to interpolate the description between the previously distinct classifications into internal and surface residues, which otherwise is found to give rise to an erratic and discontinuous behavior. Since the goal of this study is to lay out the framework and validate the concept, it focuses on Asp and Glu residues where the protein pKa values and structures are assumed to be more reliable. The new and improved implementation is evaluated and discussed; it is found to agree better with experiment than the previous implementation (in parentheses): rmsd = 0.79 (0.91) for Asp and Glu, 0.75 (0.97) for Tyr, 0.65 (0.72) for Lys, and 1.00 (1.37) for His residues. The most significant advance, however, is in reducing the number of outliers and removing unreasonable sensitivity to small structural changes that arise from classifying residues as either internal or surface.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Structural basis of glutamate recognition by a dimeric metabotropic glutamate receptor.

            The metabotropic glutamate receptors (mGluRs) are key receptors in the modulation of excitatory synaptic transmission in the central nervous system. Here we have determined three different crystal structures of the extracellular ligand-binding region of mGluR1--in a complex with glutamate and in two unliganded forms. They all showed disulphide-linked homodimers, whose 'active' and 'resting' conformations are modulated through the dimeric interface by a packed alpha-helical structure. The bi-lobed protomer architectures flexibly change their domain arrangements to form an 'open' or 'closed' conformation. The structures imply that glutamate binding stabilizes both the 'active' dimer and the 'closed' protomer in dynamic equilibrium. Movements of the four domains in the dimer are likely to affect the separation of the transmembrane and intracellular regions, and thereby activate the receptor. This scheme in the initial receptor activation could be applied generally to G-protein-coupled neurotransmitter receptors that possess extracellular ligand-binding sites.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Low to moderate sugar-sweetened beverage consumption impairs glucose and lipid metabolism and promotes inflammation in healthy young men: a randomized controlled trial.

              Sugar-sweetened beverages (SSBs) have unfavorable effects on glucose and lipid metabolism if consumed in high quantities by obese subjects, but the effect of lower doses in normal-weight subjects is less clear. The aim was to investigate the effects of SSBs consumed in small to moderate quantities for 3 wk on LDL particle distribution and on other parameters of glucose and lipid metabolism as well as on inflammatory markers in healthy young men. Twenty-nine subjects were studied in a prospective, randomized, controlled crossover trial. Six 3-wk interventions were assigned in random order as follows: 600 mL SSBs containing 1)40 g fructose/d [medium fructose (MF)], 2) 80 g fructose/d [high fructose (HF)], 3) 40 g glucose/d [medium glucose (MG)], 4) 80 g glucose/d [high glucose (HG)], 5) 80 g sucrose/d [high sucrose (HS)], or 6) dietary advice to consume low amounts of fructose. Outcome parameters were measured at baseline and after each intervention. LDL particle size was reduced after HF by -0.51 nm (95% CI: -0.19, -0.82 nm) and after HS by -0.43 nm (95% CI: -0.12, -0.74; P < 0.05 for both). Similarly, a more atherogenic LDL subclass distribution was seen when fructose-containing SSBs were consumed (MF, HF, and HS: P < 0.05). Fasting glucose and high-sensitivity C-reactive protein (hs-CRP) increased significantly after all interventions (by 4-9% and 60-109%, respectively; P < 0.05); leptin increased during interventions with SSBs containing glucose only (MG and HG: P < 0.05). The present data show potentially harmful effects of low to moderate consumption of SSBs on markers of cardiovascular risk such as LDL particles, fasting glucose, and hs-CRP within just 3 wk in healthy young men, which is of particular significance for young consumers. This trial was registered at clinicaltrials.gov as NCT01021969.
                Bookmark

                Author and article information

                Contributors
                t.rungrotmongkol@gmail.com
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                15 July 2019
                15 July 2019
                2019
                : 9
                : 10205
                Affiliations
                [1 ]ISNI 0000 0001 0244 7875, GRID grid.7922.e, Structural and Computational Biology Research Unit, Department of Biochemistry, , Faculty of Science, Chulalongkorn University, ; Bangkok, 10330 Thailand
                [2 ]ISNI 0000 0001 0244 7875, GRID grid.7922.e, Program in Biotechnology, , Faculty of Science, Chulalongkorn University, ; Bangkok, 10330 Thailand
                [3 ]ISNI 0000 0001 0244 7875, GRID grid.7922.e, Multidisciplinary Program of Petrochemistry and Polymer Science, , Faculty of Science, Chulalongkorn University, ; Bangkok, 10330 Thailand
                [4 ]ISNI 0000 0001 0244 7875, GRID grid.7922.e, Computational Chemistry Center of Excellent, Department of Chemistry, , Faculty of Science, Chulalongkorn University, ; Bangkok, 10330 Thailand
                [5 ]ISNI 0000 0000 9039 7662, GRID grid.7132.7, Department of Chemistry, , Faculty of Science, Chiang Mai University, ; Chiang Mai, 50200 Thailand
                [6 ]ISNI 0000 0000 9039 7662, GRID grid.7132.7, Center of Excellence in Materials Science and Technology, , Chiang Mai University, ; Chiang Mai, 50200 Thailand
                [7 ]ISNI 0000 0001 0244 7875, GRID grid.7922.e, Ph.D. Program in Bioinformatics and Computational Biology, , Faculty of Science, Chulalongkorn University, ; Bangkok, 10330 Thailand
                [8 ]ISNI 0000 0001 0244 7875, GRID grid.7922.e, Molecular Sensory Science Center, , Faculty of Science, Chulalongkorn University, ; Bangkok, 10330 Thailand
                Article
                46668
                10.1038/s41598-019-46668-w
                6629994
                31308429
                46482ef4-3fdc-4896-95bb-ca3d36c3d10f
                © The Author(s) 2019

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 27 April 2018
                : 3 July 2019
                Funding
                Funded by: Science Achievement Scholarship of Thailand
                Funded by: Chulalongkorn Academic Advancement into its 2nd Century Project (Project [CUAASC]) Chulalongkorn University&amp;#x2019;s Ratchadapisek Sompot Fund [grant number GCURP59022301]
                Categories
                Article
                Custom metadata
                © The Author(s) 2019

                Uncategorized
                computational models,theoretical chemistry
                Uncategorized
                computational models, theoretical chemistry

                Comments

                Comment on this article

                scite_
                0
                0
                0
                0
                Smart Citations
                0
                0
                0
                0
                Citing PublicationsSupportingMentioningContrasting
                View Citations

                See how this article has been cited at scite.ai

                scite shows how a scientific paper has been cited by providing the context of the citation, a classification describing whether it supports, mentions, or contrasts the cited claim, and a label indicating in which section the citation was made.

                Similar content194

                Cited by13

                Most referenced authors2,009