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      Structural Insights into the Mechanism of Protein O-Fucosylation

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          Abstract

          Protein O-fucosylation is an essential post-translational modification, involved in the folding of target proteins and in the role of these target proteins during embryonic development and adult tissue homeostasis, among other things. Two different enzymes are responsible for this modification, Protein O-fucosyltransferase 1 and 2 (POFUT1 and POFUT2, respectively). Both proteins have been characterised biologically and enzymatically but nothing is known at the molecular or structural level. Here we describe the first crystal structure of a catalytically functional POFUT1 in an apo-form and in complex with GDP-fucose and GDP. The enzyme belongs to the GT-B family and is not dependent on manganese for activity. GDP-fucose/GDP is localised in a conserved cavity connected to a large solvent exposed pocket, which we show is the binding site of epidermal growth factor (EGF) repeats in the extracellular domain of the Notch Receptor. Through both mutational and kinetic studies we have identified which residues are involved in binding and catalysis and have determined that the Arg240 residue is a key catalytic residue. We also propose a novel S N1-like catalytic mechanism with formation of an intimate ion pair, in which the glycosidic bond is cleaved before the nucleophilic attack; and theoretical calculations at a DFT (B3LYP/6-31+G(d,p) support this mechanism. Thus, the crystal structure together with our mutagenesis studies explain the molecular mechanism of POFUT1 and provide a new starting point for the design of functional inhibitors to this critical enzyme in the future.

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          Substructure solution with SHELXD.

          Iterative dual-space direct methods based on phase refinement in reciprocal space and peak picking in real space are able to locate relatively large numbers of anomalous scatterers efficiently from MAD or SAD data. Truncation of the data at a particular resolution, typically in the range 3.0-3.5 A, can be critical to success. The efficiency can be improved by roughly an order of magnitude by Patterson-based seeding instead of starting from random phases or sites; Patterson superposition methods also provide useful validation. The program SHELXD implementing this approach is available as part of the SHELX package.
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            ClusPro: a fully automated algorithm for protein-protein docking.

            ClusPro (http://nrc.bu.edu/cluster) represents the first fully automated, web-based program for the computational docking of protein structures. Users may upload the coordinate files of two protein structures through ClusPro's web interface, or enter the PDB codes of the respective structures, which ClusPro will then download from the PDB server (http://www.rcsb.org/pdb/). The docking algorithms evaluate billions of putative complexes, retaining a preset number with favorable surface complementarities. A filtering method is then applied to this set of structures, selecting those with good electrostatic and desolvation free energies for further clustering. The program output is a short list of putative complexes ranked according to their clustering properties, which is automatically sent back to the user via email.
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              ClusPro: an automated docking and discrimination method for the prediction of protein complexes.

              Predicting protein interactions is one of the most challenging problems in functional genomics. Given two proteins known to interact, current docking methods evaluate billions of docked conformations by simple scoring functions, and in addition to near-native structures yield many false positives, i.e. structures with good surface complementarity but far from the native. We have developed a fast algorithm for filtering docked conformations with good surface complementarity, and ranking them based on their clustering properties. The free energy filters select complexes with lowest desolvation and electrostatic energies. Clustering is then used to smooth the local minima and to select the ones with the broadest energy wells-a property associated with the free energy at the binding site. The robustness of the method was tested on sets of 2000 docked conformations generated for 48 pairs of interacting proteins. In 31 of these cases, the top 10 predictions include at least one near-native complex, with an average RMSD of 5 A from the native structure. The docking and discrimination method also provides good results for a number of complexes that were used as targets in the Critical Assessment of PRedictions of Interactions experiment. The fully automated docking and discrimination server ClusPro can be found at http://structure.bu.edu
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2011
                26 September 2011
                : 6
                : 9
                : e25365
                Affiliations
                [1 ]Institute of Biocomputation and Physics of Complex Systems, University of Zaragoza, Zaragoza, Spain
                [2 ]Department of Biochemistry and Molecular and Cellular Biology, University of Zaragoza, Zaragoza, Spain
                [3 ]Department of Organic Chemistry, Institute of Chemical Synthesis and Homogenoeus Catalysis (ISQCH), University of Zaragoza-CSIC, Zaragoza, Spain
                [4 ]EMBL Hamburt Outstation, Hamburg, Germany
                [5 ]Fundación ARAID, Diputación General de Aragón, Zaragoza, Spain
                Institute of Molecular and Cell Biology, Singapore
                Author notes

                Conceived and designed the experiments: EL-N JV-G PM RH-G. Performed the experiments: EL-N JV-G RV MM-J PM RH-G. Analyzed the data: EL-N JV-G TT PM SP RH-G. Contributed reagents/materials/analysis tools: SP PM RH-G. Wrote the paper: PM RH-G.

                [¤]

                Current address: Australian synchrotron, Clayton, Victoria, Australia

                Article
                PONE-D-11-12996
                10.1371/journal.pone.0025365
                3180450
                21966509
                1750252c-0b50-4908-a2e7-48c17a86481e
                Lira-Navarrete et al. 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
                : 8 July 2011
                : 1 September 2011
                Page count
                Pages: 14
                Categories
                Research Article
                Biology
                Biochemistry
                Glycobiology
                Glycoproteins
                Proteins
                Protein Structure
                Chemical Biology
                Biophysics
                Biomacromolecule-Ligand Interactions

                Uncategorized
                Uncategorized

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