京都大学 / 新制・課程博士 / 博士(理学) / 甲第23405号 / 理博第4740号 / 新制||理||1679(附属図書館) / 京都大学大学院理学研究科生物科学専攻 / (主査)教授 高田 彰二, 教授 川口 真也, 准教授 立川 正志 / 学位規則第4条第1項該当 / Doctor of Science / Kyoto University / DFAM

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In this work, the development of parameters for a series of imidazolium-based ionic liquids molecules, now included in the AMOEBA force field, is discussed. The quality of obtained parameters is tested in a variety of calculations to reproduce structural, thermodynamic, and transport properties. First, it is proposed a novel method to parameterize in a faster, and more efficient way parameters for the AMOEBA force field that can be applied to any imidazolim-based cation. Second, AMOEBA-IL polarizable force field is applied to study the N-tert-butyloxycarbonylation of aniline reaction mechanism in water/[EMIM][BF4] solvent via QM/MM approach and compared with the reaction carried out in gas-phase and implicit solvent media. Third, AMOEBA-IL force field is applied in alchemical calculations. Free energies of solvation for selected solutes solvated in [EMIm][OTf] are calculated via BAR method implemented in TINKER considering the effect of polarization as well as the methodology to perform the sampling of the alchemical process. Finally, QM/MM calculations using AMOEBA to get more insights into the catalytic reaction mechanism of horseradish peroxidase enzyme, particularly the structures involved in the transition from Cp I to Cp II.

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In this thesis, solutions to two of the problems encountered in the design and control of human-friendly robots are investigated. The first problem is severe human injuries can occur when an accidental human-manipulator impact happens. A theoretical and experimental study on using foam coverings to reduce the severity of a human-manipulator impact and enhance human safety is presented. An improved human-manipulator impact model that incorporates the manipulator dynamics, foam covering dynamics and the coupling between the human head and torso is introduced. A method for approximating the configuration-dependent dynamics of robotics manipulators with the dynamics of a single DOF manipulator is proposed. With this model, the design parameters that significantly influence the human head acceleration are investigated. A model-based foam covering design procedure to properly select parameters of foam coverings in accordance with safety criteria and the foam thickness constraint is then proposed. The impact model and the foam covering design procedure are validated experimentally with two manipulators. The maximum error between the predicted and experimental head acceleration was less than 9%. The maximum error between the predicted and experimental foam compressed depth was less than 12%. The second problem is mobile robot navigation in the presence of humans and other motion-unpredictable obstacles. A novel navigation algorithm, based on the virtual force field (VFF) method, is proposed as a solution. It features improved functions for the repulsive and detour virtual forces, and a new stabilizing virtual force. Methods to calculate sizes of the active and critical regions for different obstacles are developed. Stability of the new VFF is proven using a novel piecewise Lyapunov function and Lyapunov's second method. Based on simulations for different obstacle configurations, the new VFF-based algorithm successfully produces collision-free paths while five well known navigation algorithms incurred collisions in one of the configurations. With the new VFF-based navigation algorithm, simulations and experiments are successfully performed with a holonomic robot and a nonholonomic robot for several configurations, including multiple moving obstacles. / Thesis / Doctor of Philosophy (PhD)

Intrinsically disordered proteins (IDPs) are an abundant class of proteins and protein regions which rapidly change between multiple structures without an equilibrium position. IDPs exist as a series of conformational ensembles of semi-stable conformations that can be adopted based on a hilly landscape of shallow free energy minima. Disordered sequences share characteristic features differentiating them from globular proteins, including low sequence complexity, low occurrence of hydrophobic residues, high polar and charged residue content, and high flexibility. IDPs are commonly involved in regulation in the cell, and frequently function as, or interact with, hub proteins in protein-protein interaction networks, making them an important class of macromolecules for understanding regulatory and other processes. Given their functional importance, these proteins are widely studied. Many analytical techniques are used, though rapid conformational sampling by IDPs makes it difficult to detect many states with NMR or other techniques. Computational approaches such as molecular dynamics are increasingly used to probe the binding and conformational sampling of these proteins, allowing for observation of factors that cannot be observed with traditional analytical methods such as NMR, such as differing conformational ensembles and the dipoles of individual residues. Here, we studied the role of electrostatic interactions in IDP protein-protein interaction using molecular dynamics simulations performed with the Drude-2019 force field (FF), a polarizable model that allows for more accurate representation of electrostatics, an important factor for highly charged systems like IDPs. For this project, a prototypical protein with disordered regions, p53, was simulated with two protein partners, the nuclear coactivator domain of the CREB binding protein (CBP), and the E3 ubiquitin-protein ligase mouse double minute 2 (MDM2). p53 is widely studied, and the p53 transactivation domain (TAD) is disordered and binds to many structurally diverse partners, making this protein domain a useful model for probing the role of electrostatic interactions formed by IDPs at protein-protein binding interfaces. We found that the Drude-2019 FF allows for simulation of the p53 TAD with Cα chemical shifts comparable to those observed with NMR, supporting that the Drude-2019 FF performs well in simulating IDPs. We observed large relative change in sidechain dipole moments when comparing the p53 TAD alone and when bound to either CBP or MDM2. We observed that aliphatic and aromatic amino acids experienced the largest relative change in sidechain dipole moments, and that there is sensitivity to binding shown in this dipole response. The largest percent changes in sidechain dipole moment were found to localize at and around the binding interface. Understanding the binding interactions of IDPs at a fundamental level, including the role of electrostatic interactions, may help with targeting IDPs or their partners for drug design. / Master of Science in Life Sciences / Many proteins adopt one main structure, and these proteins are called ordered proteins. Intrinsically disordered proteins (IDPs) are an abundant category of proteins which adopt multiple structures, and transition between these different structures is based on factors such as the environment around them, modifications, or interactions with other macromolecules. The flexible structures of IDPs allow them to bind to multiple different partners and to regulate processes in the cell. Since IDPs often regulate processes important to cell function, when these proteins are mutated, misfolded, or otherwise mis-regulated the resulting issues are associated with disease states. IDPs are widely studied with analytical techniques, but because IDPs frequently change shape it can be difficult to observe certain behaviors or certain factors with these techniques. Computational approaches, such as molecular dynamics (MD). MD is the study of molecular motion and interaction, and can allow observation of factors that would be difficult or impossible to observe otherwise, such as the varying structures of IDPs or the dipole moments of specific amino acids within the proteins. For this project we wanted to probe the role of dipole moments, which are charge-based interactions, in the binding of IDPs to protein partners, to better understand how IDPs bind to different partners. We used the p53 protein as an example of IDP binding and simulated it alone and bound to two other proteins, the CREB binding protein (CBP), and the E3 ubiquitin-protein ligase mouse double minute 2 (MDM2). We observed that our simulations were comparable to experiments done with nuclear magnetic resonance spectroscopy, which served to validate that our simulations were realistic. We observed that the dipole moments of the proteins change when simulating the proteins alone and in complex, and that the largest relative changes in dipole are observed for regions of the proteins involved in binding. Probing the role of charge-based interactions in protein-protein binding interactions for IDPs can help us to greater understand these interactions at a more fundamental level and could help with targeting IDPs or their partners for drug design or other problems.

Yes / The optimisation of a peptide-capped glycine using the novel force field FFLUX is presented. FFLUX is a force field based on the machine-learning method kriging and the topological energy partitioning method called Interacting Quantum Atoms. FFLUX has a completely different architecture to that of traditional force fields, avoiding (harmonic) potentials for bonded, valence and torsion angles. In this study, FFLUX performs an optimisation on a glycine molecule and successfully recovers the target density-functional theory energy with an error of 0.89 ± 0.03 kJ mol−1. It also recovers the structure of the global minimum with a root-mean-squared deviation of 0.05 Å (excluding hydrogen atoms). We also show that the geometry of the intra-molecular hydrogen bond in glycine is recovered accurately. / EPSRC Established Career Fellowship [grant number EP/K005472]

Yes / Materials-binding peptides offer promising routes to the production of tailored Pd nanomaterials in aqueous media, enabling the optimization of catalytic properties. However, the atomic-scale details needed to make these advances are relatively scarce and challenging to obtain. Molecular simulations can provide key insights into the structure of peptides adsorbed at the aqueous Pd interface, provided that the force-field can appropriately capture the relevant bio-interface interactions. Here, we introduce and apply a new polarizable force field, PdP-CHARMM, for the simulation of biomolecule–Pd binding under aqueous conditions. PdP-CHARMM was parametrized with density functional theory (DFT) calculations, using a process compatible with similar polarizable force-fields created for Ag and Au surfaces, ultimately enabling a direct comparison of peptide binding modes across these metal substrates. As part of our process for developing PdP-CHARMM, we provide an extensive study of the performance of ten different dispersion-inclusive DFT functionals in recovering biomolecule–Pd(111) binding. We use the functional with best all-round performance to create PdP-CHARMM.We then employ PdP-CHARMM and metadynamics simulations to estimate the adsorption free energy for a range of amino acids at the aqueous Pd(111) interface. Our findings suggest that only His and Met favor direct contact with the Pd substrate, which we attribute to a remarkably robust interfacial solvation layering. Replica-exchange with solute tempering molecular dynamics simulations of two experimentally-identified Pd-binding peptides also indicate surface contact to be chiefly mediated by His and Met residues at aqueous Pd(111). Adsorption of these two peptides was also predicted for the Au(111) interface, revealing distinct differences in both the solvation structure and modes of peptide adsorption at the Au and Pd interfaces. We propose that this sharp contrast in peptide binding is largely due to the differences in interfacial solvent structuring. / Air Force Office for Scientfi c Research (Grant #FA9550-12-1-0226)