1,358,743 research outputs found

    The crystal structure of the Y140F mutant of ADP-L-glycero-D-manno-heptose 6-epimerase bound to ADP-beta-D-mannose suggests a one base mechanism

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    Supported by Wellcome Trust grant 081862/Z/06/ZBacteria synthesize a wide array of unusual carbohydrate molecules, which they use in a variety of ways. The carbohydrate L-glycero-D-manno-heptose is an important component of lipopolysaccharide and is synthesized in a complex series of enzymatic steps. One step involves the epimerization at the C6 '' position converting ADP-D-glycero-D-manno-heptose into ADP-L-glycero-D-manno-heptose. The enzyme responsible is a member of the short chain dehydrogenase superfamily, known as ADP-L-glycero-D-manno-heptose 6-epimerase (AGME). The structure of the enzyme was known but the arrangement of the catalytic site with respect to the substrate is unclear. We now report the structure of AGME bound to a substrate mimic, ADP-beta-D-mannose, which has the same stereochemical configuration as the substrate. The complex identifies the key residues and allows mechanistic insight into this novel enzyme.Peer reviewe

    A manno-oligoszacharidok izolálása nyersélesztőből

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    A szénhidrátok általános jellemzése, azon belül pedig a manno-oligoszacharidok, konkrétan a mannobióz és mannotrióz kinyerése nyersélesztőbőlgjBiomérnökBSc/B

    Meta-symplectic geometry of 3rd order Monge-Ampère equations and their characteristics

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    This paper is a natural companion of [Alekseevsky D.V., Alonso Blanco R., Manno G., Pugliese F., Ann. Inst. Fourier (Grenoble) 62 (2012), 497-524, arXiv:1003.5177], generalising its perspectives and results to the context of third-order (2D) Monge-Ampère equations, by using the so-called ''meta-symplectic structure'' associated with the 8D prolongation M⁽¹⁾ of a 5D contact manifold M. We write down a geometric definition of a third-order Monge-Ampère equation in terms of a (class of) differential two-form on M⁽¹⁾. In particular, the equations corresponding to decomposable forms admit a simple description in terms of certain three-dimensional distributions, which are made from the characteristics of the original equations. We conclude the paper with a study of the intermediate integrals of these special Monge-Ampère equations, herewith called of Goursat type.This paper is a contribution to the Special Issue on Analytical Mechanics and Dif ferential Geometry in honour of Sergio Benenti. The full collection is available at http://www.emis.de/journals/SIGMA/Benenti.html. The authors wish to express their gratitude towards the anonymous referees whose comments contributed to shape the paper into its final form. The authors thank C. Ciliberto, E. Ferapontov and F. Russo for stimulating discussions. The research of the first author has been partially supported by the project “Finanziamento giovani studiosi – Metriche proiettivamente equivalenti, equazioni di Monge–Amp`ere e sistemi integrabili”, University of Padova 2013–2015, by the project “FIR (Futuro in Ricerca) 2013 – Geometria delle equazioni dif ferenziali”. The research of the second author has been partially supported by the Marie Sk lodowska–Curie Action No 654721 “GEOGRAL”, by the University of Salerno, and by the project P201/12/G028 of the Czech Republic Grant Agency (GA CR). Both the authors are members of G.N.S.A.G.A. ˇ of I.N.d.A.M

    High-throughput virtual screening and molecular dynamics simulation reveals NPC170742 a novel chalconoid compound as a potential inhibitor of D-glycero-D-manno-heptose-1,7-bisphosphate 7-phosphatase in <i>Helicobacter pylori</i>

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    Helicobacter pylori is a gram negative spiral shaped bacteria that causes peptic ulcer and gastric cancer. It Is the sixth most prevalent cancer in the world and the third leading cause of cancer death. The increase in reported cases of H. pylori resistance to the drugs and antibiotics shows the need for the development of new and efficient drugs against the pathogen. In the present study, D-glycero-D-manno-heptose-1,7-bisphosphate 7-phosphatase (GmhB), an enzyme involved in the biosynthesis of lipopolysaccharides that encourages bacterial adherence, self-aggregation and identifying the host cells was modelled and the active sites were predicted through POCASA which is an automated ligand binding site prediction server. Natural product activity and species source (NPASS) is a database of 96,481 natural compounds that were subjected to virtual screening workflow that includes Qikprop, Lipinski rule, filtering out reactive functional groups followed by high throughput virtual screening and the top 10 compounds were selected for further induced fit docking along with the substrate D-glycero-β-D-manno-heptose 1,7-bisphosphate. The compound NPC170742 (Alpha, Beta, 3,4,5,2′,4′,6′-Octahydroxy dihydrochalcone) showed higher affinity than the substrate, and both the substrate D-glycero-β-D-manno-heptose 1,7-bisphosphate and the compound NPC170742 were subjected to molecular dynamics simulation. The results exposed the compound NPC170742 could be a potential lead compound against the enzyme D-glycero-D-manno-heptose-1,7-bisphosphate 7-phosphatase of H. pylori. Communicated by Ramaswamy H. Sarma</p

    Ezek marasztalták a románokat!

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    A stilizált monogram alapján a grafikus Manno Miltiades lehet[grafikus Manno Miltiades?

    Premio per tesi di laurea sul tema della disabilità 2018, per tesi discusse nell' A.A. 2017-2018 conferito dall'Ateneo di Roma "La Sapienza"

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    La tesi è stata premiata il 6 dicembre 2019 a seguito della partecipazione al bando promosso dall'Ateneo "Sapienza" per tesi che affrontano tematiche sulla disabilità discusse nell' A.A. 2017-2018. Oggetto della tesi è la progettazione condotta secondo l'approccio tecnologico al progetto, dalla fattibilità alla fase esecutiva mettendo in risalto i contenuti metaprogettuali di un servizio assistenziale semiresidenziale del tutto innovativo rivolto all'assistenza di adolescenti affetti da disturbi psichiatrici

    Development and Application of a Complete Multijet Common-Rail Injection-System Mathematical Model for Hydrodynamic Analysis and Diagnostics

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    A rather complete mathematical model for a common-rail injection-system dynamics numerical simulation was developed to support experimentation, layout, and control design, as well as performance optimization. The thermofluid dynamics of the hydraulic-system components, including rail, connecting pipes, and injectors was modeled in conjunction with the solenoid-circuit electromagnetics and the mechanics of mobile elements. One-dimensional flow equations in conservation form were used to simulate wave propagation phenomena throughout the high-pressure connecting pipes, including the feeding pipe of the injector nozzle. In order to simulate the temperature variations due to the fuel compressibility, the energy equation was used in addition to mass conservation and momentum balance equations. Besides, the possible cavitation phenomenon effects on the mass flow rate through the injector bleed orifice and the nozzle holes were taken into account. A simple model of the electromagnetic driving circuit was used to predict the temporal distribution of the force acting on the pilot-valve anchor. It was based on the experimental time histories of the current through the solenoid and of the associated voltage that is provided by the electronic control unit to the solenoid. The numerical code was validated through the comparison of the prediction results with experimental data, that is, pressure, injected flow rate, and needle lift time histories, taken on a high performance test bench Moehwald-Bosch MEP2000-CA4000. The novel injection-system mathematical model was applied to the analysis of transient flows through the hydraulic circuit of a commercial multijet second-generation common-rail system, paying specific attention to the wave propagation phenomena, to their dependence on solenoid energizing time and rail pressure, as well as to their effects on system performance. In particular, an insight was also given into the model capability of accurately predicting the wave dynamics effects on the rate and mass of fuel injected when the dwell time between two consecutive injections is varie

    A convergent and fully distributable SVMs training algorithm

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    The Support Vector Machines (SVMs) dual formulation has a non-separable structure that makes the design of a convergent distributed algorithm a very difficult task. Recently some separable and distributable reformulations of the SVM training problem have been obtained by fixing one primal variable. While this strategy seems effective for some applications, in certain cases it could be weak since it drastically reduces the overall final performance. In this work we present the first fully distributable algorithm for SVMs training that globally converges to a solution of the original (non-separable) SVMs dual formulation. Besides a detailed convergence analysis, we provide a simple demonstrative example showing the advantages of the original SVMs dual formulation with respect to the weak separable one and highlights the practical effectiveness of our method. We report further tests to show practical convergence of the proposed method on real-world datasets
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