901 resultados para Molecular Dynamic Simulations
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The viscosity of four imidazolium-based ionic liquids is analyzed as a function of pressure and temperature. Experimental measurements were carried out using an electromagnetic moving piston viscometer in the 303-353 K and 0.1-70 MPa ranges on synthesized ultrapure samples, and compared with available literature data. Molecular dynamics simulations were used to analyze the fluids' dynamic properties from a nanoscopic viewpoint, with special attention paid to self-diffusion coefficients and dynamic viscosity. Simulated properties are in excellent agreement with experimental results in spite of the glasslike dynamics of some of the studied fluids. © 2013 American Chemical Society.
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The generalized Langevin equation (GLE) has been recently suggested to simulate the time evolution of classical solid and molecular systems when considering general nonequilibrium processes. In this approach, a part of the whole system (an open system), which interacts and exchanges energy with its dissipative environment, is studied. Because the GLE is derived by projecting out exactly the harmonic environment, the coupling to it is realistic, while the equations of motion are non-Markovian. Although the GLE formalism has already found promising applications, e. g., in nanotribology and as a powerful thermostat for equilibration in classical molecular dynamics simulations, efficient algorithms to solve the GLE for realistic memory kernels are highly nontrivial, especially if the memory kernels decay nonexponentially. This is due to the fact that one has to generate a colored noise and take account of the memory effects in a consistent manner. In this paper, we present a simple, yet efficient, algorithm for solving the GLE for practical memory kernels and we demonstrate its capability for the exactly solvable case of a harmonic oscillator coupled to a Debye bath.
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Using first-principles molecular dynamics simulations, we have investigated the notion that amino acids can play a protective role when DNA is exposed to excess electrons produced by ionizing radiation. In this study we focus on the interaction of glycine with the DNA nucleobase thymine. We studied thymine-glycine dimers and a condensed phase model consisting of one thymine molecule solvated in amorphous glycine. Our results show that the amino acid acts as a protective agent for the nucleobase in two ways. If the excess electron is initially captured by the thymine, then a proton is transferred in a barrier-less way from a neighboring hydrogen-bonded glycine. This stabilizes the excess electron by reducing the net partial charge on the thymine. In the second mechanism the excess electron is captured by a glycine, which acts as a electron scavenger that prevents electron localization in DNA. Both these mechanisms introduce obstacles to further reactions of the excess electron within a DNA strand, e.g. by raising the free energy barrier associated with strand breaks.
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In this seminar, I will talk about the discovery of the diamond pyramid structures in the electroless copper deposits on both epoxy and stainless steel substrates. The surface morphology of the structure was characterized with scanning electron microscopy (SEM). According to the morphological feature of the structure, an atom model was brought forward in order to describe the possible mechanism of forming such structure. Molecular dynamics simulations were then carried out to investigate the growing process of the diamond pyramid structure. The final structures of the simulation were compared with the SEM images and the atomic model. The radial distribution function of the final structures of the simulation was compared with that calculated from the X-ray diffraction pattern of the electroless copper deposit sample.
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Molecular Dynamics Simulations (MDS) are constantly being used to make important contributions to our fundamental understanding of material behaviour, at the atomic scale, for a variety of thermodynamic processes. This chapter shows that molecular dynamics simulation is a robust numerical analysis tool in addressing a range of complex nanofinishing (machining) problems that are otherwise difficult or impossible to understand using other methods. For example the mechanism of nanometric cutting of silicon carbide is influenced by a number of variables such as machine tool performance, machining conditions, material properties, and cutting tool performance (material microstructure and physical geometry of the contact) and all these variables cannot be monitored online through experimental examination. However, these could suitably be studied using an advanced simulation based approach such as MDS. This chapter details how MD simulation can be used as a research and commercial tool to understand key issues of ultra precision manufacturing research problems and a specific case was addressed by studying diamond machining of silicon carbide. While this is appreciable, there are a lot of challenges and opportunities in this fertile area. For example, the world of MD simulations is dependent on present day computers and the accuracy and reliability of potential energy functions [109]. This presents a limitation: Real-world scale simulation models are yet to be developed. The simulated length and timescales are far shorter than the experimental ones which couples further with the fact that contact loading simulations are typically done in the speed range of a few hundreds of m/sec against the experimental speed of typically about 1 m/sec [17]. Consequently, MD simulations suffer from the spurious effects of high cutting speeds and the accuracy of the simulation results has yet to be fully explored. The development of user-friendly software could help facilitate molecular dynamics as an integral part of computer-aided design and manufacturing to tackle a range of machining problems from all perspectives, including materials science (phase of the material formed due to the sub-surface deformation layer), electronics and optics (properties of the finished machined surface due to the metallurgical transformation in comparison to the bulk material), and mechanical engineering (extent of residual stresses in the machined component) [110]. Overall, this chapter provided key information concerning diamond machining of SiC which is classed as hard, brittle material. From the analysis presented in the earlier sections, MD simulation has helped in understanding the effects of crystal anisotropy in nanometric cutting of 3C-SiC by revealing the atomic-level deformation mechanisms for different crystal orientations and cutting directions. In addition to this, the MD simulation revealed that the material removal mechanism on the (111) surface of 3C-SiC (akin to diamond) is dominated by cleavage. These understandings led to the development of a new approach named the “surface defect machining” method which has the potential to be more effective to implement than ductile mode micro laser assisted machining or conventional nanometric cutting.
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A aplicação de simulações de mecânica e dinâmica molecular ao estudo de sistemas supramoleculares tem adquirido, ao longo dos últimos anos, enorme relevância. A sua utilização não só tem levado a uma melhor compreensão dos mecanismos de formação desses mesmos sistemas, como também tem fornecido um meio para o desenvolvimento de novas arquitecturas supramoleculares. Nesta tese são descritos os trabalhos de mecânica e dinâmica molecular desenvolvidos no âmbito do estudo de associações supramoleculares entre aniões e receptores sintéticos do tipo [2]catenano, [2]rotaxano e pseudorotaxano. São ainda estudados complexos supramoleculares envolvendo receptores heteroditópicos do tipo calix[4]diquinona e pares iónicos formados por aniões halogeneto e catiões alcalinos e amónio. Os estudos aqui apresentados assentam essencialmente em duas vertentes: no estudo das propriedades dinâmicas em solução dos vários complexos supramoleculares considerados e no cálculo das energias livres de Gibbs de associação relativas dos vários iões aos receptores sintéticos. As metodologias utilizadas passaram por dinâmica molecular convencional e REMD (Replica Exchange Molecular Dynamics), para o estudo das propriedades em solução, e por cálculos de integração termodinâmica e MMPBSA (Molecular Mechanics – Poisson Boltzmann Surface Area), para a computação das energias livres de associação relativas. Os resultados obtidos, além de terem permitido uma visão mais detalhada dos mecanismos envolvidos no reconhecimento e associação dos vários receptores aos aniões e pares iónicos abordados, encontram-se, globalmente, de acordo com os análogos determinados experimentalmente, validando assim as metodologias empregadas. Em jeito de conclusão, investigou-se ainda a capacidade de um dos receptores heteroditópicos estudados para assistir favoravelmente na migração do par iónico KCl através da interface água-clorofórmio. Para tal, foram utilizadas simulações SMD (Steered Molecular Dynamics) para a computação do perfil de energia livre de Gibbs associada à migração do par iónico através da interface.
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No âmbito desta dissertação são apresentados novos recetores sintéticos baseados na plataforma macrocíclica tetraazacalix[2]areno[2]triazina incorporando bases de purina ou unidades de aminoácidos naturais. Estes recetores foram preparados tendo como objectivo o reconhecimento seletivo de fármacos e aniões biologicamente relevantes. No primeiro capítulo é apresentada uma revisão bibliográfica sobre recetores derivados de tetraazacalix[2]areno[2]triazina demonstrando-se que a funcionalização desta plataforma, nos anéis de triazina ou nos anéis benzénicos, encontra-se ainda na infância bem como a investigação das suas afinidades para aniões. Subsequentemente, considerando os aniões principais estudados nesta tese, aniões carboxilatos alifáticos, aromáticos e aminoácidos é apresentada uma revisão bibliográfica sobre os estudos de reconhecimento molecular reportados na literatura, entre derivados de calix[4]areno e este tipo de aniões. No segundo capítulo descrevem-se as sínteses de recetores com uma ou duas unidades de aminoácido, L-alanina (AC1A, AC2A) e L-triptofano (AC2T), ancoradas nos anéis benzénicos da plataforma tetraazacalix[2]areno[2]triazina. Como demostrado no capítulo 3, os grupos N-H dos azotos em ponte são locais de reconhecimento de aniões. Neste contexto, estes macrociclos foram também metilados nos azotos em ponte (Me4AC2A e Me4AC2T) de modo a direcionar o reconhecimento cooperativo de aniões exclusivamente através dos grupos N-H das unidades de aminoácidos. A lipofilicidade destas moléculas foi alterada por substituição dos átomos de cloro das triazinas por dihexilamina. Os compostos sintetizados foram caracterizados através de técnicas espetroscópicas complementadas em alguns compostos por difração de raios X de cristal único. No capítulo 3 apresentam-se os estudos de reconhecimento molecular entre os recetores sintetizados e aniões derivados de ácidos carboxílicos (mono, di e tricarboxílicos) alifáticos, aromáticos, isoméricos e aniões inorgânicos. Estes estudos foram efetuados em DMSO-d6 ou em CDCl3 por titulações de RMN de 1H com determinação das respetivas constantes de associação. Para os recetores AC1A e AC2A o reconhecimento da maioria dos aniões estudados ocorre simultaneamente através dos grupos N-H dos azotos em ponte e do N-H da amida do braço da L-alanina. Contudo, no caso do isoftalato e tricarboxilato, com dois e três grupos carboxilato em posição meta, ocorre preferencialmente através dos dois braços de L-alanina como sugerido por estudos de dinâmica molecular em DMSO. Os estudos de associação realizados para os macrociclos que contêm unidades de L-triptofano, AC2T e Me4AC2T, mostraram que o reconhecimento de aniões é efetuado preferencialmente através de ligações de hidrogénio estabelecidas com os grupos amida e amina do grupo indole dos braços de aminoácido em detrimento das aminas em ponte como em AC1A e AC2A. Para a série dos carboxilatos alifáticos verifica-se que o recetor Me4AC2A tem maior afinidade com o anião glutarato (K= 389 M-1, DMSO-d6) enquanto o recetor Me4AC2T associa-se mais fortemente com o anião oxalato (K= 776 M-1, CDCl3). Todas as Job plots efetuadas confirmaram que as entidades estudadas obedeciam a uma estequiometria recetor/anião de 1:1.
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Tese de doutoramento, Bioquimica, Faculdade de Ciências e Tecnologia, Universidade do Algarve, 2015
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The goal of most clustering algorithms is to find the optimal number of clusters (i.e. fewest number of clusters). However, analysis of molecular conformations of biological macromolecules obtained from computer simulations may benefit from a larger array of clusters. The Self-Organizing Map (SOM) clustering method has the advantage of generating large numbers of clusters, but often gives ambiguous results. In this work, SOMs have been shown to be reproducible when the same conformational dataset is independently clustered multiple times (~100), with the help of the Cramérs V-index (C_v). The ability of C_v to determine which SOMs are reproduced is generalizable across different SOM source codes. The conformational ensembles produced from MD (molecular dynamics) and REMD (replica exchange molecular dynamics) simulations of the penta peptide Met-enkephalin (MET) and the 34 amino acid protein human Parathyroid Hormone (hPTH) were used to evaluate SOM reproducibility. The training length for the SOM has a huge impact on the reproducibility. Analysis of MET conformational data definitively determined that toroidal SOMs cluster data better than bordered maps due to the fact that toroidal maps do not have an edge effect. For the source code from MATLAB, it was determined that the learning rate function should be LINEAR with an initial learning rate factor of 0.05 and the SOM should be trained by a sequential algorithm. The trained SOMs can be used as a supervised classification for another dataset. The toroidal 10×10 hexagonal SOMs produced from the MATLAB program for hPTH conformational data produced three sets of reproducible clusters (27%, 15%, and 13% of 100 independent runs) which find similar partitionings to those of smaller 6×6 SOMs. The χ^2 values produced as part of the C_v calculation were used to locate clusters with identical conformational memberships on independently trained SOMs, even those with different dimensions. The χ^2 values could relate the different SOM partitionings to each other.
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La nature des acides dans un environnement aqueux est primordiale dans de nombreux aspects de la chimie et de la biologie. La caractéristique principale d'un acide est sa capacité à transférer un proton vers une molécule d'eau ou vers n'importe quelle base, mais ce procédé n'est pas aussi simple qu'il y paraît. Il peut au contraire être extrêmement complexe et dépendre de manière cruciale de la solvatation des différents intermédiaires de réaction impliqués. Cette thèse décrit les études computationnelles basées sur des simulations de dynamique moléculaire ab initio qui ont pour but d'obtenir une description à l'échelle moléculaire des divers procédés de transferts de proton entre acide et bases dans un milieu aqueux. Pour cela, nous avons étudié une serie de système, dont l'acide hydrofluorique aqueux, l'acide trifluoroacétique aqueux, et un système modèle constitué d'un phénol et d'une entité carboxylate reliés entre eux par une molécule d'eau en solution aqueuse. Deux états intermédiaires ont été identifiés pour le transfert d'un proton depuis un acide. Ces intermédiaires apparaissent stabilisés par un motif local de solvatation via des ponts H. Leurs signatures spectroscopiques ont été caractérisées au moyen de la spectroscopie infrarouge, en utilisant le formalisme de la dynamique moléculaire ab initio, qui inclut l'effet quantique nucléaire de manière explicite. Cette étude a aussi identifié trois chemins de réaction élémentaire, qui sont responsable pour le transfert d'un proton d'un acide à une base, ainsi que leurs échelles de temps caractéristiques. Les conclusions tirées de ces études sont discutées dans les détails, au niveau moléculaire, avec une emphase sur les comparaisons entre les résultats théoriques et les mesures expérimentales obtenues dans a littérature ou via des collaborateurs.
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Les protéines amyloïdes sont retrouvées sous forme de fibres dans de nombreuses maladies neurodégénératives. En tentant d’élucider le mécanisme de fibrillation, les chercheurs ont découvert que cette réaction se fait par un phénomène de nucléation passant par des oligomères. Il semblerait que ces espèces soient la principale cause de la toxicité observée dans les cellules des patients atteints d’amyloïdose. C’est pourquoi un intérêt particulier est donc porté aux premières étapes d’oligomérisation. Dans ce mémoire, nous nous intéressons à une séquence d’acide aminé fortement hydrophobe de l’α-synucléine appelée composante non β -amyloïde (Non-Amyloid β Component ou NAC). Cette dernière est retrouvée sous forme de fibres dans les corps et les neurites de Lewy des patients atteints de la maladie de Parkinson. De plus, elle constitue une composante minoritaire des fibres impliquées dans la maladie d’Alzheimer. Nous avons observé les changements structuraux qui ont lieu pour le monomère, le dimère et le trimère de la séquence NAC de l’α-synucléine. Nous nous sommes aussi intéressés aux conséquences structurelles observées dans des oligomères hétérogènes qui impliqueraient, Aβ1−40. Pour cela nous utilisons des dynamiques moléculaires, d’échange de répliques couplées au potentiel gros-grain, OPEP. Nous constatons une disparition des hélices α au profit des feuillets β , ainsi que le polymorphisme caractéristique des fibres amyloïdes. Certaines régions se sont démarquées par leurs capacités à former des feuillets β . La disparition de ces régions lorsque NAC est combinée à Aβ laisse entrevoir l’importance de l’emplacement des résidus hydrophobes dans des structures susceptibles de former des fibres amyloïdes.
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Molecular modelling studies have been carried out on two bis(calix[4]diqu(inone) ionophores, each created from two (calix[4]diquinone)arenes bridged at their bottom rims via alkyl chains (CH2)(n), 1: n = 3, 2; n = 4, in order to understand the reported selectivity of these ligands towards different sized metal ions such as Na+, K+, Rb+, and Cs+ in dmso solution. Conformational. analyses have been carried out which show that in the lowest energy conformations of the two macrocycles, the individual calix[4]diquinones exhibit a combination of partial cone, 1,3-alternate and cone conformations. The interactions of these alkali metals with the macrocycles have been studied in the gas phase and in a periodic box of solvent dmso by molecular mechanics and molecular dynamics calculations. Molecular mechanics calculations have been carried out on the mode of entry of the ions into the macrocycles and suggest that this is likely to occur from the side of the central cavity, rather than through the main axis of the calix[4]diquinones. There are energy barriers of ca. 19 kcal mol(-1) for this entry path in the gas phase, but in solution no energy barrier is found. Molecular dynamics simulations show that in both 1 and 2, though particularly in the latter macrocycle, one or two solvent molecules are bonded to the metal throughout the course of the simulation, often to the exclusion, of one or more of the ether oxygen atoms. By contrast the carbonyl oxygen atoms remain bonded to the metal atoms throughout with bond lengths that remain significantly less than those to the ether oxygen atoms. Free energy perturbation studies have been carried out in dmso and indicate that for 1, the selectivity follows the order Rb+ approximate to K+ > Cs+ >> Na+, which is partially in agreement with the experimental results. The energy differences are small and indeed the ratio between stability constants found for Cs+ and K+ complexes is only 0.60, showing that 1 has only a slight preference for K+. For the larger receptor 2, which is better suited to metal complexation, the binding affinity follows the pattern Cs+ >> Rb+ >> K+ >> Na+, with energy differences of 5.75, 2.61, 2.78 kcal mol(-1) which is perfectly consistent with experimental results.
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The binding of NO to iron is involved in the biological function of many heme proteins. Contrary to ligands like CO and O-2, which only bind to ferrous (Fe-II) iron, NO binds to both ferrous and ferric (Fe-II) iron. In a particular protein, the natural oxidation state can therefore be expected to be tailored to the required function. Herein, we present an ob initio potential-energy surface for ferric iron interacting with NO. This potential-energy surface exhibits three minima corresponding to eta'-NO coordination (the global minimum), eta(1)-ON coordination and eta(2) coordination. This contrasts with the potential-energy surface for Fe-II-NO, which ex- hibits only two minima (the eta(2) coordination mode for Fe-II is a transition state, not a minimum). In addition, the binding energies of NO are substantially larger for Fe-III than for Fe-II. We have performed molecular dynamics simulations for NO bound to ferric myoglobin (Mb(III)) and compare these with results obtained for Mb(II). Over the duration of our simulations (1.5 ns), all three binding modes are found to be stable at 200 K and transiently stable at 300 K, with eventual transformation to the eta(1)-NO global-minimum conformation. We discuss the implication of these results related to studies of rebinding processes in myoglobin.
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Myoglobin has been studied in considerable detail using different experimental and computational techniques over the past decades. Recent developments in time-resolved spectroscopy have provided experimental data amenable to detailed atomistic simulations. The main theme of the present review are results on the structures, energetics and dynamics of ligands ( CO, NO) interacting with myoglobin from computer simulations. Modern computational methods including free energy simulations, mixed quantum mechanics/molecular mechanics simulations, and reactive molecular dynamics simulations provide insight into the dynamics of ligand dynamics in confined spaces complementary to experiment. Application of these methods to calculate and understand experimental observations for myoglobin interacting with CO and NO are presented and discussed.
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Molecular dynamics simulations of the events after the photodissociation of CO in the myoglobin mutant L29F in which leucine is replaced by phenylalanine are reported. Using both classical and mixed quantum-classical molecular dynamics calculations, we observed the rapid motion of CO away from the distal heme pocket to other regions of the protein, in agreement with recent experimental results. The experimentally observed and calculated infrared spectra of CO after dissociation are also in good agreement. We compared the results with data from simulations of WT myoglobin. As the time resolution of experimental techniques is increased, theoretical methods and models can be validated at the atomic scale by direct comparison with experiment.