Os príons são proteínas que causam um grupo de doenças neurodegenerativas invariavelmente fatais, sendo uma das mais conhecidas a encefalopatia espongiforme bovina (ou doença da vaca louca). A proteína príon celular (PrPc), rica em estrutura α-helicoidal, sofre uma mudança na sua estrutura secundária produzindo a proteína patológica (PrPSc; o príon) na qual prevalecem folhas-β. Devido a falta de dados de estruturais de alta resolução dos príons, simulações de DM podem ser particularmente úteis para estudar o redobramento de PrP. Estudos experimentais e computacionais, descritos na literatura, indicam que a utilização de pH ácido é capaz de criar alguma instabilidade estrutural, produzindo um ganho de estrutura-β na região N-terminal antes desestruturada. Este trabalho se propõe a investigar computacionalmente as mudanças estruturais na proteína príon celular do hamster Sírio induzidas por alteração de pH. Para isso, foi avaliada a influência do uso de diferentes campos de força (GROMOS, AMBER e OPLS), diferentes estados de protonação dos resíduos de histidina, diferentes condições iniciais e diferentes métodos de cálculo de interações eletrostáticas de longo alcance (GRF e SPME). A partir da evolução temporal das estruturas secundárias, foi observada uma forte dependência dos resultados com o uso de diferentes parâmetros de simulação. De fato, a tendência de pH descrita na literatura não foi claramente observada neste trabalho. Isso pode estar associado com a necessidade de se investir mais em múltiplas simulações de dinâmica molecular para quantificar com maior precisão o comportamento estrutural dos fragmentos protéicos em cada pH de estudo. / Prions are proteins that cause a group of invariably fatal neurodegenerative diseases, one of the most known being bovine spongiform encephalopathy (or mad cow disease). The cellular prion protein (PrPc), rich in α-helical structure, undergoes a change in its secondary structure producing the pathological protein (PrPSc, the prion) in which β-sheet structure prevails. Because of the lack of high-resolution prion structural data, MD simulations can be particularly useful to study PrP misfolding. Experimental and computational studies, described in literature, indicate that the use of low pH is capable to create some structural instability, producing a gain of β-structure content in the otherwise unstructured N-terminal region. This work aims to investigate computationally structural changes in the cellular prion protein of Syrian hamster induced by pH change. For this, we evaluated the influence of different force fields (GROMOS, AMBER and OPLS), different protonation states of histidine residues, different initial conditions and different methods for calculating long-range electrostatic interactions (GRF and SPME). From the time evolution of the secondary structures, we observed a strong dependence on the simulation parameters. In fact, the pH tendency described in literature was not clearly observed in this work. It may be associated with the need to invest more in multiple molecular dynamics simulations to quantify more accurately the structural behavior of the protein fragments in each pH study.

abstract: Traditionally, allostery is perceived as the response of a catalytic pocket to perturbations induced by binding at another distal site through the interaction network in a protein, usually associated with a conformational change responsible for functional regulation. Here, I utilize dynamics-based metrics, Dynamic Flexibility Index and Dynamic Coupling Index to provide insight into how 3D network of interactions wire communications within a protein and give rise to the long-range dynamic coupling, thus regulating key allosteric interactions. Furthermore, I investigate its role in modulating protein function through mutations in evolution. I use Thioredoxin and β-lactamase enzymes as model systems, and show that nature exploits "hinge-shift'' mechanism, where the loss in rigidity of certain residue positions of a protein is compensated by reduced flexibility of other positions, for functional evolution. I also developed a novel approach based on this principle to computationally engineer new mutants of the promiscuous ancestral β-lactamase (i.e., degrading both penicillin and cephatoxime) to exhibit specificity only towards penicillin with a better catalytic efficiency through population shift in its native ensemble.I investigate how allosteric interactions in a protein can regulate protein interactions in a cell, particularly focusing on E. coli ribosome. I describe how mutations in a ribosome can allosterically change its associating with magnesium ions, which was further shown by my collaborators to distally impact the number of biologically active Adenosine Triphosphate molecules in a cell, thereby, impacting cell growth. This allosteric modulation via magnesium ion concentrations is coined, "ionic allostery''. I also describe, the role played by allosteric interactions to regulate information among proteins using a simplistic toy model of an allosteric enzyme. It shows how allostery can provide a mechanism to efficiently transmit information in a signaling pathway in a cell while up/down regulating an enzyme’s activity. The results discussed here suggest a deeper embedding of the role of allosteric interactions in a protein’s function at cellular level. Therefore, bridging the molecular impact of allosteric regulation with its role in communication in cellular signaling can provide further mechanistic insights of cellular function and disease development, and allow design of novel drugs regulating cellular functions. / Dissertation/Thesis / Doctoral Dissertation Physics 2020

京都大学 / 新制・課程博士 / 博士(理学) / 甲第23030号 / 理博第4707号 / 新制||理||1675(附属図書館) / 京都大学大学院理学研究科化学専攻 / (主査)教授 谷村 吉隆, 教授 渡邊 一也, 教授 林 重彦 / 学位規則第4条第1項該当 / Doctor of Science / Kyoto University / DGAM

No description available.

<p>The use of atomistic level simulations like molecular dynamics are becoming a key part in the process of materials discovery, optimization and development since they can provide complete description of a material and contribute to understand the response of materials under certain conditions or to elucidate the mechanisms involved in the materials behavior.</p> <p>We will discuss to cases in which molecular dynamics simulations are used to characterize and understand the behavior of materials: i) prediction of properties of small organic crystals in order to be implemented in a multiscale modeling framework which objective is to predict mechanically induced amorphization without experimental input other than</p> <p>the molecular structure and ii) characterization of temperature dependent spatio-temporal domains of high mobility torsions in several bulk polymers, thin slab and isolated chains; strikingly we observe universality in the percolation of these domains across the glass transition.</p> <p>However, as in any model, validation of the predicted results against appropriate experiments is a critical stage, especially if the predicted results are to be used in decision making. Various sources of uncertainties alter both modeling and experimental results and therefore the validation process. We will present molecular dynamics simulations to assess uncertainties associated with the prediction of several important properties of thermoplastic polymers; in which we independently quantify how the predictions are affected by several sources. Interestingly, we nd that all sources of uncertainties studied influence predictions, but their relative importance depends on the specific quantity of interest.</p>

Motile microorganisms navigate through their environment using special molecular machinery in order to sense gradients of various signals: chemotaxis (reactions to chemical compounds) and phototaxis (to light) sensory cascades. Transmembrane receptors play a central role in these cascades as they receive input signals and transmit them inside the cell, where they modulate activity of the kinases CheA, which are tightly bound to their cytoplasmic domains. CheA further phosphorylates the response regulator protein CheY, which regulates the flagella. At the same time, CheA phosphorylates and, by means of this, activates another response regulator, CheB, which, along with the constantly active CheR protein, catalyzes two opposite reactions: methylation and demethylation of the specific glutamic acid residues located at the cytoplasmic domain of the receptors. The latter reactions establish the adaptation mechanism, which allows microbes to sense in a very broad range of the input signal intensities. Many functional, structural and dynamical aspects of the signal propagation through the prokaryotic receptors as well as a mechanism of the signal amplification remain still unclear. In the present thesis we have used various techniques of computational biophysics, chiefly molecular dynamics (MD) simulations, in order to approach these problems. In Chapter 3, we have carried out MD simulations of the isolated linker domain (HAMP) from the E. coli Tsr chemoreceptor. The MD simulations revealed highly dynamical nature of this domain, which allows for interconversion between several metastable states. These metastable states feature a number of structural and dynamical properties, which were previously reported for HAMP domains of various receptors obtained from different organisms. It allowed us to reconcile numerous experimental data and to hypothesize that different HAMP domains share similar mechanism of their action. In Chapter 4, we have performed MD simulations of the whole cytoplasmic domain of the Tsr chemoreceptor. The simulations revealed a mechanism for the inter-domain coupling between the HAMP domain and a part of the cytoplasmic domain adjacent to the HAMP, the adaptation subdomain, by means of the regulated unfolding of a short linker region termed the stutter. Also, we have found that the reversible methylation/demethylation of the cytoplasmic domain affects its flexibility and symmetry. Altogether, these findings suggest a mechanism of signal propagation at the level of an individual chemoreceptor dimer. In Chapter 5, we have built a model of the trimer-of-dimers of the archaeal phototaxis receptor complex (NpSRII:NpHtrII). Subsequent MD simulations revealed an important role of dynamics in signal transduction and, potentially, in the kinase activation. In Chapter 6, we have reconstructed a whole transmembrane lattice formed by the NpSRII:NpHtrII complexes. The concave shape of the obtained lattice naturally explains polar localization of the receptor arrays in prokaryotic cells. At the same time, additional MD simulations of an individual unit of this lattice (a dimer of the photosensor) revealed global motional modes in its transmembrane region, which presumably co-occur with its activation and can spread across the tightly packed transmembrane arrays allowing for the signal amplification.

No description available.

Multicomponent silicate and borosilicate glasses find wide technological applications ranging from optical fibers, biomedicine to nuclear waste disposal. As a common component of earth's mantle and nuclear waste, iron is a frequent encounter in silicate and borosilicate melts and glasses. The redox ratio in glass matrix defined by the ratio of ferrous and ferric ions is dependent on factors such as temperature, pressure, and oxygen fugacity. Understanding their roles on the short- and medium-range structure of these glasses is important in establishing the structure-property relationships which are important for glass composition design but usually difficult to obtain from experimental characterization techniques alone. Classical molecular dynamics simulations were chosen in this dissertation to study iron containing glasses due to challenges in experimental techniques such as NMR spectroscopy originated from the paramagnetic nature of iron. Magnesium is also a common element in the oxide glass compositions and its effect on the structure of boroaluminosilicate glasses were also investigated. Magnesium ion (Mg2+) has relatively higher cation field strength than other modifier cations and its structural role in oxide glasses is still under debate. Therefore, investigating the effects of cation field strength of modifier cations in light of MgO in boroaluminosilicate glasses is also an important goal of this dissertation. Overall, through detailed and systematic molecular dynamics simulations with effective interatomic potentials, the structures of iron and magnesium containing complex boroaluminosilicate glasses were obtained and used to interpret properties and their changes with glass composition for nuclear waste disposal and other applications.

We investigate coarse-grained models of suspended self-thermophoretic microswimmers. Upon heating, the Janus spheres, with hemispheres made of different materials, induce a heterogeneous local solvent temperature that causes the self-phoretic particle propulsion. Starting from molecular dynamics simulations that schematically resolve the molecular composition of the solvent and the microswimmer, we verify the coarse-grained description of the fluid in terms of a local molecular temperature field, and its role for the particle’s thermophoretic self-propulsion and hot Brownian motion. The latter is governed by effective nonequilibrium temperatures, which are measured from simulations by confining the particle position and orientation. They are theoretically shown to remain relevant for any further spatial coarse-graining towards a hydrodynamic description of the entire suspension as a homogeneous complex fluid.

No description available.