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      Mixed Inhibition of cPEPCK by Genistein, Using an Extended Binding Site Located Adjacent to Its Catalytic Cleft

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          Abstract

          Cytosolic phosphoenolpyruvate carboxykinase (cPEPCK) is a critical enzyme involved in gluconeogenesis, glyceroneogenesis and cataplerosis. cPEPCK converts oxaloacetic acid (OAA) into phosphoenol pyruvate (PEP) in the presence of GTP. cPEPCK is known to be associated with type 2 diabetes. Genistein is an isoflavone compound that shows anti-diabetic and anti-obesitic properties. Experimental studies have shown a decrease in the blood glucose level in the presence of genistein by lowering the functional activity of cPEPCK, an enzyme of gluconeogenesis. Using computational techniques such as molecular modeling, molecular docking, molecular dynamics simulation and binding free energy calculations, we identified cPEPCK as a direct target of genistein. We studied the molecular interactions of genistein with three possible conformations of cPEPCK—unbound cPEPCK (u_cPEPCK), GTP bound cPEPCK (GTP_cPEPCK) and GDP bound cPEPCK (GDP_cPEPCK). Binding of genistein was also compared with an already known cPEPCK inhibitor. We analyzed the interactions of genistein with cPEPCK enzyme and compared them with its natural substrate (OAA), product (PEP) and known inhibitor (3-MPA). Our results demonstrate that genistein uses the mechanism of mixed inhibition to block the functional activity of cPEPCK and thus can serve as a potential anti-diabetic and anti-obesity drug candidate. We also identified an extended binding site in the catalytic cleft of cPEPCK which is used by 3-MPA to inhibit cPEPCK non-competitively. We demonstrate that extended binding site of cPEPCK can further be exploited for designing new drugs against cPEPCK.

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          LIGPLOT: a program to generate schematic diagrams of protein-ligand interactions.

          The LIGPLOT program automatically generates schematic 2-D representations of protein-ligand complexes from standard Protein Data Bank file input. The output is a colour, or black-and-white, PostScript file giving a simple and informative representation of the intermolecular interactions and their strengths, including hydrogen bonds, hydrophobic interactions and atom accessibilities. The program is completely general for any ligand and can also be used to show other types of interaction in proteins and nucleic acids. It was designed to facilitate the rapid inspection of many enzyme complexes, but has found many other applications.
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            Fast and accurate predictions of binding free energies using MM-PBSA and MM-GBSA.

            In the drug discovery process, accurate methods of computing the affinity of small molecules with a biological target are strongly needed. This is particularly true for molecular docking and virtual screening methods, which use approximated scoring functions and struggle in estimating binding energies in correlation with experimental values. Among the various methods, MM-PBSA and MM-GBSA are emerging as useful and effective approaches. Although these methods are typically applied to large collections of equilibrated structures of protein-ligand complexes sampled during molecular dynamics in water, the possibility to reliably estimate ligand affinity using a single energy-minimized structure and implicit solvation models has not been explored in sufficient detail. Herein, we thoroughly investigate this hypothesis by comparing different methods for the generation of protein-ligand complexes and diverse methods for free energy prediction for their ability to correlate with experimental values. The methods were tested on a series of structurally diverse inhibitors of Plasmodium falciparum DHFR with known binding mode and measured affinities. The results showed that correlations between MM-PBSA or MM-GBSA binding free energies with experimental affinities were in most cases excellent. Importantly, we found that correlations obtained with the use of a single protein-ligand minimized structure and with implicit solvation models were similar to those obtained after averaging over multiple MD snapshots with explicit water molecules, with consequent save of computing time without loss of accuracy. When applied to a virtual screening experiment, such an approach proved to discriminate between true binders and decoy molecules and yielded significantly better enrichment curves. (c) 2009 Wiley Periodicals, Inc.
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              Recent advances in understanding the anti-diabetic actions of dietary flavonoids.

              Flavonoids are polyphenolic compounds that are abundant in fruits and vegetables, and increasing evidence demonstrates a positive relationship between consumption of flavonoid-rich foods and disease prevention. Epidemiological, in vitro and animal studies support the beneficial effects of dietary flavonoids on glucose and lipid homeostasis. It is encouraging that the beneficial effects of some flavonoids are at physiological concentrations and comparable to clinically-used anti-diabetic drugs; however, clinical research in this field and studies on the anti-diabetic effects of flavonoid metabolites are limited. Flavonoids act on various molecular targets and regulate different signaling pathways in pancreatic β-cells, hepatocytes, adipocytes and skeletal myofibers. Flavonoids may exert beneficial effects in diabetes by (i) enhancing insulin secretion and reducing apoptosis and promoting proliferation of pancreatic β-cells; (ii) improving hyperglycemia through regulation of glucose metabolism in hepatocytes; (iii) reducing insulin resistance, inflammation and oxidative stress in muscle and fat and (iv) increasing glucose uptake in skeletal muscle and white adipose tissue. This review highlights recent findings on the anti-diabetic effects of dietary flavonoids, including flavan-3-ols, flavanones, flavonols, anthocyanidins, flavones and isoflavones, with particular emphasis on the studies that investigated the cellular and molecular mechanisms involved in the beneficial effects of the compounds. © 2013.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                3 November 2015
                2015
                : 10
                : 11
                : e0141987
                Affiliations
                [001]Department of Biochemical Engineering and Biotechnology, Indian Institute of Technology (IIT) Delhi, Hauz Khas, New Delhi, India
                Bioinformatics Institute, SINGAPORE
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: SPK AJ DS. Performed the experiments: SPK AJ JKD. Analyzed the data: SPK AJ JKD. Wrote the paper: SPK AJ JKD DS.

                Article
                PONE-D-15-17444
                10.1371/journal.pone.0141987
                4631375
                26528723
                330c2a8d-83f0-4b29-8153-c5ea9aacfc77
                Copyright @ 2015

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited

                History
                : 22 April 2015
                : 15 October 2015
                Page count
                Figures: 7, Tables: 2, Pages: 21
                Funding
                The authors have no support or funding to report.
                Categories
                Research Article
                Custom metadata
                All relevant data are within the paper and its Supporting Information files.

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