D-Arginine dehydrogenase (DADH) catalyzes the oxidation of D-arginine to imino arginine using FAD as the cofactor. The enzyme is part of a recently discovered two-enzyme complex from Pseudomonas aeruginosa involved in arginine utilization. Function of the enzyme within the organism is unknown. Work on this enzyme has been undertaken to understand the structure as well as its reaction mechanism so as to eventually assign a function to the enzyme within the physiological context. In the reductive half-reaction 2 e- and 1 H+ are transferred from the amino acid substrate to FAD cofactor. In the oxidative half-reaction the reducing equivalents from the FAD cofactor are passed to an electron acceptor that is yet to be discovered. The enzyme has been established to have no reactivity with O2. Choline oxidase (CHO) from Arthrobacter globiformis is a well characterized member of Glucose-Methanol-Choline Superfamily that reacts with molecular O2. It catalyzes the oxidation of choline to glycine betaine mediated by betaine aldehyde intermediate using FAD as the cofactor and O2 as the oxidant to regenerate oxidized FAD for further reaction. Glycine betaine, the product of the reaction is an important osmolyte that regulates nutrients for plants under stressful conditions. Therefore it is of commercial interest to genetically engineer crops that do not typically possess competent pathways for glycine betaine synthesis. In this dissertation molecular details concerning the reductive half-eaction of DADH and oxidative half-reaction of CHO have been studied using a combination of steady state kinetics, rapid kinetics, pH, multiple substrates, mutagenesis, substrate deuterium and solvent isotope effects, viscosity effects or computational approaches. In DADH, the oxidation of amino acid substrate by FAD has been shown to most likely proceed via hydride transfer mechanism in the reductive half-reaction with Glu87, Tyr53, Tyr249 and His48 emerging as key players in substrate binding, catalysis or for up keeping the integrity of the FAD cofactor. In CHO, the oxidative half-reaction proceeds without stabilization of any reaction intermediates with H atom from reduced FAD and H+ from solvent or solvent exchangeable site occurring in the same kinetic step.

Choline oxidase catalyzes the flavin-dependent, two-step oxidation of choline to glycine betaine via the formation of an aldehyde intermediate. The oxidation of choline includes two reductive half-reactions followed by oxidative half-reactions. In the first oxidation reaction, the alcohol substrate is activated to its alkoxide via proton abstraction and oxidized via transfer of a hydride from the alkoxide α-carbon to the N(5) atom of the enzyme-bound flavin. In the wild-type enzyme, proton and hydride transfers are mechanistically and kinetically uncoupled. The role of Ser101 was investigated in this dissertation. Replacement of Ser101 with threonine, alanine, cysteine, or valine demonstrated the importance of the hydroxyl group of Ser101 in proton abstraction and in hydride transfer. Moreover, the kinetic studies on the Ser101Ala variant have revealed the importance of a specific residue for the optimization of the overall turnover of choline oxidase. The UV-visbible absorbance of Ser101Cys suggests Cys101 can form an adduct with the C4a atom of the flavin. The mechanism of formation of the C4a-cysteinyl adduct has been elucidated. D-arginine dehydrogenase (DADH) catalyzes the oxidation of D-amino acids to the corresponding imino acids, which are non-enzymatically hydrolyzed to α-keto acids and ammonia. The enzyme is strick dehrogenase and deoesnot react with molecular oxygen. Steady state kinetic studies wirh D-arginine and D-histidine as a substrate and PMS as the electron acceptor has been investigated. The enzyme has broad substrate specificity for D-amino acids except aspartate, glutamate and glycine, with preference for arginine and lysine. Leucine is the slowest substrate in which steady state kinetic parameters can be obtained. The chemical mechanism of leucine dehydrogenation catalyzed by DADH was explored with a combination of pH, substrate and solvent kinetic isotope effects (KIE) and proton inventories by using rapid kinetics in a stopped-flow spectrophotometer. The data are discussed in the context of the crystallographic structures at high resolutions (<1.3 Å) of the enzyme in complex with iminoarginine or iminohistidine.

Caspases are important players in programmed cell death. Normal activities of caspases are critical for the cell life cycle and dysfunction of caspases may lead to the development of cancer and neurodegenerative diseases. They have become a popular target for drug design against abnormal cell death. In this study, the recognition of P5 position in substrates by caspase-3, -6 and -7 has been investigated by kinetics, modeling and crystallography. Crystal structures of caspase-3 and -7 in complexes with substrate analog inhibitor Ac-LDESD-CHO have been determined at resolutions of 1.61 and 2.45 Å, respectively, while a model of caspase-6/LDESD is constructed. Enzymatic study and structural analysis have revealed that Caspase-3 and -6 recognize P5 in pentapeptides, while caspase-7 lacks P5-binding residues. D-arginine dehydrogenase catalyzes the flavin-dependent oxidative deamination of D-amino acids to the corresponding imino acids and ammonia. The X-ray crystal structures of DADH and its complexes with several imino acids were determined at 1.03-1.30 Å resolution. The DADH crystal structure comprises a product-free conformation and a product-bound conformation. A flexible loop near the active site forms an “active site lid” and may play an essential role in substrate recognition. The DADH Glu87 forms an ionic interaction with the side chain of iminoarginine, suggesting its importance for DADH preference of positively charged D-amino acids. Comparison of the kinetic data of DADH activity on different D-amino acids and the crystal structures demonstrated that this enzyme is characterized by relatively broad substrate specificity, being able to oxidize positively charged and large hydrophobic D-amino acids bound within a flask-like cavity. Understanding biology at the system level has gained much more attention recently due to the rapid development in genome sequencing and high-throughput measurements. Current simulation methods include deterministic method and stochastic method. Both have their own advantages and disadvantages. Our group has developed a deterministic-stochastic crossover algorithm for simulating biochemical networks. Simulation studies have been performed on biological systems like auto-regulatory gene network and glycolysis system. The new system retains the high efficiency of deterministic method while still reflects the random fluctuations at lower concentration.

Pseudomonas aeruginosa ᴅ-arginine dehydrogenase (PaDADH) is a flavin-dependent enzyme. The enzyme catalyzes the oxidative deamination of a broad range of ᴅ-amino acids to their corresponding imino-acids, which are non-enzymatically hydrolyzed to α-keto-acids and ammonia. A46, S45 and I335 residues are located in flexible loops, which form a flask-like substrate-binding pocket. In this study, I335, A46, and S45 were mutated to histidine, glycine, and alanine, respectively and individually, through site-directed mutagenesis, to investigate their role in binding and catalysis in PaDADH. The results showed that A46 and S45 residues participate in the optimal orientation of the substrate α-amino group and I335 modulate the active site flexibility.

Enzymes are ubiquitous in biological systems. They catalyze chemical reactions and are involved in many biochemical processes. The enzyme of interest is Pseudomonas aeruginosa D-arginine dehydrogenase (PaDADH). This flavin-dependent enzyme is composed of approximately 375 amino acid residues and has a broad substrate specificity with D-amino acids. A water recognition motif, observed in roughly 1200 non-redundant protein data bank (PDB) structures, was revealed to be embedded near the active site of PaDADH. This motif coincides with the conformational changes of the enzyme’s gated mechanism. Molecular dynamics simulations were carried out to study the gated properties and structural characteristics of PaDADH in solution. Single amino acid mutations were undertaken to further understand the dynamics of the gated mechanism of this enzyme. In addition, pKa,shift analyses were evaluated to probe for the basic catalytic amino acid residue that is suggested to trigger the catalytic mechanism of PaDADH.