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Molecular machines are essential components of living organisms. They are highly efficient and robust, much more than their macroscopic analogs. This stimulated growing interest in construction of artificial molecular machines with a set of functions which may be controlled in a specific way. Such man-made molecular complexes are designed as the building blocks for future nanotechnological devices. During the last decades many new molecular machines have been synthesized and characterized by various experimental techniques. This significantly increased our knowledge about systems of such kind and their functioning. However, there are only a few real applications of molecular machines. This is because the fundamental principles of operation of such single-molecule systems are not well understood. Existing theoretical studies, although very helpful, are still very sparse. This is because the molecular machines are very complex systems, comprising up to thousands atoms. Thus the progress in our understanding of nanoscale materials is tightly related to development of efficient computational and theoretical methodologies. In this work we studied two large classes of molecular machines: surface-moving nanocars and molecular rotors/motors, working on the surfaces and in crystalline state. In particular we studied the role of the internal interactions of these machines as well as their interactions with the environment. This included the flexibility of the molecules, including the rotation of the nanocars' wheels, effects of surface and rotors symmetry, charge transfer effects as well as many other factors. We have found out relations which determine the properties of studied classes of molecular machines. The development of computational and theoretical methods was another essential part of this work. In particular we have developed a family of the surface-molecule interaction potentials, aimed to performing long time scale and molecular simulations of complex systems. We also developed a physics-based model of the charge transfer happening between metals and the nanocars. This opened new ways to control such molecular machines. We also developed a theoretical framework to predict response of molecular rotors on various types of driving. Finally, we developed new and improved existing rigid-body molecular dynamics methods and extensively used them in our studies of molecular machines. / Only volume 2 has been digitized.

<p>Gram-negative bacteria possess an asymmetric outer membrane in which the inner leaflet is composed primarily of phospholipids while the outer leaflet contains both phospholipids and lipopolysaccharide (LPS). LPS forms a structural barrier that protects Gram-negative bacteria from antibiotics and other environmental stressors. The lipid A anchor of LPS is a glucosamine-based saccharolipid that is further modified with core and O-antigen sugars. In addition to serving a structural role as the hydrophobic anchor of LPS, lipid A is recognized by the innate immune system in animal cells and macrophages. The enzymes of Lipid A biosynthesis are conserved in Gram-negative bacteria; in most species, a single copy of each bio-synthetic gene is present. The exception is lpxH, which is an essential gene encoding a membrane-associated UDP-2,3-diacylglucosamine hydrolase, which catalyzed the attack of water upon the alpha-phosphate of its substrate and the leaving of UMP, resulting in the formation of lipid X. Many Gram-negatives lack an lpxH orthologue, yet these species must possess an activity analogous to that of LpxH. We used bioinformatics approaches to identify a candidate gene, designated lpxI, encoding this activity in the model organism Caulobacter crescentus. We then demonstrated that lpxI can rescue Escherichia coli deficient in lpxH. Moreover, we have shown that LpxI possesses robust and specific UDP-2,3-diacylglucosamine hydrolase activity in vitro. We have developed high-yield purification schema for Caulobacter crescentus LpxI (CcLpxI) heterologously expressed in E. coli. We crystallized CcLpxI and determined its 2.6 Å x-ray crystal structure in complex with lipid X. CcLpxI, which has no known homologues, consists of two novel domains connected by a linker. Moreover, we have identified a point mutant of CcLpxI which co-purifies with its substrate in a 0.85:1 molar ratio. We have solved the x-ray crystal structure of this mutant to 3.0 Å; preliminary comparison with the product-complexed model reveals striking differences. The findings described herein set the stage for further mechanistic and structural characterization of this novel enzyme.</p> <p></p> <p>In this work, we also isolate and characterize LpxB, an essential lipid A biosynthetic gene which is conserved among all Gram-negative bacteria. We purify E. coli and Hemophilus influeznea LpxB to near-homogeneity on a 10 mg scale, and we determine that E. coli LpxB activity is dependent upon the bulk surface concentration of its substrates in a mixed micellar assay system, suggesting that catalysis occurs at the lipid interface. E. coli LpxB partitions with membranes, but this interaction is partially abolished in high-salt conditions, suggesting that a significant component of LpxB's membrane association is ionic in nature. E. coli LpxB (Mr ~ 43 kDa) is a peripheral membrane protein, and we demonstrate that it co-purifies with phospholipids. We estimate, by autoradiography and mass-spectrometry, molar ratios of phospholipids to purified enzyme of 1.6-3.5:1. Transmission electron microscopy reveals the accumulation of intra-cellular membranes when LpxB is massively over-expressed. Alanine-scanning mutagenesis of selected conserved LpxB residues identified two, D89A and R201A, for which no residual catalytic activity is detected. Our data support the hypothesis that LpxB performs catalysis at the cytoplasmic surface of the inner membrane, and provide a rational starting-point for structural studies. This work contributes to knowledge of the small but growing set of structurally and mechanistically characterized enzymes which perform chemistry upon lipids.</p> / Dissertation

abstract: Protein-surface interactions, no matter structured or unstructured, are important in both biological and man-made systems. Unstructured interactions are more difficult to study with conventional techniques due to the lack of a specific binding structure. In this dissertation, a novel approach is employed to study the unstructured interactions between proteins and heterogonous surfaces, by looking at a large number of different binding partners at surfaces and using the binding information to understand the chemistry of binding. In this regard, surface-bound peptide arrays are used as a model for the study. Specifically, in Chapter 2, the effects of charge, hydrophobicity and length of surface-bound peptides on binding affinity for specific globular proteins (&beta-galactosidase and &alpha1-antitrypsin) and relative binding of different proteins were examined with LC Sciences peptide array platform. While the general charge and hydrophobicity of the peptides are certainly important, more surprising is that &beta-galactosidase affinity for the surface does not simply increase with the length of the peptide. Another interesting observation that leads to the next part of the study is that even very short surface-bound peptides can have both strong and selective interactions with proteins. Hence, in Chapter 3, selected tetrapeptide sequences with known binding characteristics to &beta-galactosidase are used as building blocks to create longer sequences to see if the binding function can be added together. The conclusion is that while adding two component sequences together can either greatly increase or decrease overall binding and specificity, the contribution to the binding affinity and specificity of the individual binding components is strongly dependent on their position in the peptide. Finally, in Chapter 4, another array platform is utilized to overcome the limitations associated with LC Sciences. It is found that effects of peptide sequence properties on IgG binding with HealthTell array are quiet similar to what was observed with &beta-galactosidase on LC Science array surface. In summary, the approach presented in this dissertation can provide binding information for both structured and unstructured interactions taking place at complex surfaces and has the potential to help develop surfaces covered with specific short peptide sequences with relatively specific protein interaction profiles. / Dissertation/Thesis / Doctoral Dissertation Biochemistry 2014

abstract: Polyurea is a highly versatile material used in coatings and armor systems to protect against extreme conditions such as ballistic impact, cavitation erosion, and blast loading. However, the relationships between microstructurally-dependent deformation mechanisms and the mechanical properties of polyurea are not yet fully understood, especially under extreme conditions. In this work, multi-scale coarse-grained models are developed to probe molecular dynamics across the wide range of time and length scales that these fundamental deformation mechanisms operate. In the first of these models, a high-resolution coarse-grained model of polyurea is developed, where similar to united-atom models, hydrogen atoms are modeled implicitly. This model was trained using a modified iterative Boltzmann inversion method that dramatically reduces the number of iterations required. Coarse-grained simulations using this model demonstrate that multiblock systems evolve to form a more interconnected hard phase, compared to the more interrupted hard phase composed of distinct ribbon-shaped domains found in diblock systems. Next, a reactive coarse-grained model is developed to simulate the influence of the difference in time scales for step-growth polymerization and phase segregation in polyurea. Analysis of the simulated cured polyurea systems reveals that more rapid reaction rates produce a smaller diameter ligaments in the gyroidal hard phase as well as increased covalent bonding connecting the hard domain ligaments as evidenced by a larger fraction of bridging segments and larger mean radius of gyration of the copolymer chains. The effect that these processing-induced structural variations have on the mechanical properties of the polymer was tested by simulating uniaxial compression, which revealed that the higher degree of hard domain connectivity leads to a 20% increase in the flow stress. A hierarchical multiresolution framework is proposed to fully link coarse-grained molecular simulations across a broader range of time scales, in which a family of coarse-grained models are developed. The models are connected using an incremental reverse–mapping scheme allowing for long time scale dynamics simulated at a highly coarsened resolution to be passed all the way to an atomistic representation. / Dissertation/Thesis / Doctoral Dissertation Mechanical Engineering 2020

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