Protein-protein interactions (PPI’s) play important roles in biological systems. In particular, intra-protein interactions help create and maintain correctly folded protein states and mutations that result in misfolded states may be associated with significant changes in PPI behavior. Six unrelated protein systems with known structure files, each consisting of a wild-type and mutant strain, were studied using the computational algorithm OpenContact©. OpenContact© is a simple tool that can be used to rapidly identify or map interactions “hot-spots” in a protein and was, consequently, used in this study as a starting point to examine the potential or possible role of PPI’s on the behavior of mutated, misfolded proteins. Specific results include the observations of single chain protein systems exhibiting mutant strains with significantly stronger inter-atomic interactions as well as a surprising gain of secondary structure in the mutant state. These observations stood in contrast to multi-chain systems (proteins with more than two constituent chains) that appeared to display stronger inter-atomic interactions for the wild-type strains. Results also indicated a potential classification scheme for intra-protein interaction behavior in mutated states based on several criteria. It is important to note, however, that observations on PPI behavior presented need to be verified across a greater number of systems than those studied here before any such trends can be concretely established.

Machine learning techniques using artificial neural networks (ANNs) have proven to be effective tools to rapidly mimic first principles calculations. These tools are capable of sub meV/atom accuracy while operating with linear scaling with respect to the system size. Here novel interatomic potentials are constructed based on the rapid artificial neural network (RANN) formalism. This approach generates precise force fields for various metals that have historically been difficult to describe at the atomic scale. These force fields can be utilized in molecular dynamics simulations to provide new physical insights. The RANN formalism, which is incorporated into a LAMMPS molecular dynamics package, utilizes fingerprints inspired by the modified embedded atom method (MEAM) formalism and angular screening which enables shorter neighbor lists and faster computations. It has been shown that this implementation can replicate speeds comparable to traditional models while maintaining high agreement (~1meV/atom) with DFT. This formalism has been used to predict correct slip modes in Mg and successfully model the challenging structure of zinc for the first time. Also RANN potentials for titanium and zirconium accurately predict the phase diagrams and triple points with high accuracy as computed by relative free energy calculation. New Ti and Zr potential successfully predict the dislocation core structures and slip planes for high pressure phase of these materials. The formalism's precision and transferability enable the construction of a binary Ti-Al system with DFT accuracy at MD speed. Due to the RANN's great fidelity to DFT data and predictive capability, these potentials might be helpful in the future for investigating behavior and interaction in large-scale atomistic simulation.

The involvement of dynamical fluctuations in driving enzymatic processes is widely accepted. With respect to NQM tunnelling enzymes, the role of promoting motions in facilitating hydrogenic transfers is well studied. Few studies have however, specifically attributed, dedicated dynamical fluctuations characterised by their timescales and magnitudes, as a function of a reaction coordinate, to specific groups in a protein system. An effectively full suite of backbone resonance assignments were obtained for PETNR and on relevant ligand complexes. This provided an essential platform on which residue specific, backbone amide fluctuations were assessed. This thesis documents the application of pressure up to 1500 bar, in tandem with high resolution TROSY based NMR analysis, as a means of studying residue specific, conformer exchange perturbations. Residue specific amide compression profiles of the PETNR:FMN free enzyme system, and complexes with progesterone and tetrahydropyridine dinucleotides have been obtained. The binding of progesterone appears to induce conformational tightening of residues within the active site vicinity. The complexation of PETNR:FMN with tetrahydropyridine dinucleotides, appears to stimulate conformational shifts towards intermediate, and in some cases, slow exchange regimes in multiple residues about the active site vicinity. This is evidenced by extensive intensity attenuation of 1H-15N TROSY resonances, on the binding of tetrahydropyridine dinucleotides at 1 bar pressure, and on going from 1 bar to 1500 bar pressure. Multiple regions of sequence, spatially clustering about the active site vicinity within a 10 Å sphere of the FMN binding pocket, display appreciable sensitivity to ligand binding. Differential responses of residues to the application of high pressure between complexes was noted within segments of these regions. A region of sequence, named the β-hairpin flap displays significant differential compression profiles between the PETNR:FMN free enzyme system, and associated progesterone and tetrahydropyridine dinucleotide complexes. A role in mediating ligand engagement is proposed for R130 and R142 in the β-hairpin flap. A central hydrogen bonding network, perhaps constituting a putative proton wire in the active site of the PETNR:FMN:Progesterone complex, has been identified that could enable the shuttling of protons following catalytic protonation of oxidative substrate. The resonance response behaviour of G185 acts as a sensitive reporter on the formation of these interactions, revealed by an interrogation of the differences in chemical shift changes on progesterone binding, and in response to high pressure. The recruitment of high resolution crystallographic data sets readily supported a structural and dynamical interpretation of the observed chemical shift responses to ligand binding at 1 bar pressure, and on the application high pressure. A definitive atomistic identification of fast motion contribution to activation barrier compression was not obtained. Nevertheless, detailed, residue specific amide compression profiles, and shifts in backbone amide conformational exchange regimes in response to ground state ligand binding, and at high pressure, have been catalogued in the PETNR:FMN free enzyme system. These dynamical profiles in the free enzyme are contrasted against comparative, residue specific observations in analogue complexes of the oxidative and reductive half reactions of PETNR.