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391	Explorations into protein structure with the knob-socket model Fraga, Keith Jeffrey 01 January 2016 (has links) Protein sequences contain the information in order for a protein to fold to a unique compact, three-dimensional native structure. The forces that drive protein structures to form compact folds are largely dominated by burial of hydrophobic amino acids, which results in non-specific packing of amino acid side-chains. The knob-socket model attempts to organize side-chain packing into tetrahedral packing motifs. This tetrahedral motif is characterized with a three residues on the same secondary structure forming the base of the tetrahedron packing with a side-chain from a separate secondary structure. The base of the motif is termed the socket, and the other side-chain is called the knob. Here, we focus on extending the knob-socket model to understand tertiary and quaternary structure. First, single knobs sometimes pack into more than one socket in real structures. We focus on understanding the topology and amino acid preferences of these tertiary packing surfaces. The main results from the study of tertiary packing surfaces is that they have a preferred handedness, some interactions are ancillary to the packing interaction, there are specific amino preferences for specific positions in packing surfaces, and there is no relationship between side-chain rotamer of the knob packing into the tertiary packing surface. Next, we examine the application of the knob-socket to irregular and mixed packing in protein structure. The main conclusions from these efforts show canonical packing modes between secondary structures and highlight the important of coil secondary structure in providing many of the knobs for packing. Third, we investigate protein quaternary structure with a clique analysis of side-chain interactions. We identify a possible pseudo knob-socket interaction, and compare knob-socket interactions between tertiary and quaternary structure. Lastly, we discuss the workflow used in CASP12 to predict side-chain contacts and atomic coordinates of proteins. Molecular biology Biochemistry Bioinformatics Pure sciences Biological sciences Coil interactions Knob socket analysis Protein packing Protein structure prediction Protein-protein interactions Tertiary structure Chemicals and Drugs Chemistry Medical Pharmacology Medicinal-Pharmaceutical Chemistry Medicine and Health Sciences Pharmaceutical Preparations Pharmacy and Pharmaceutical Sciences Physical Sciences and Mathematics
392	Exploring the molecular architecture of proteins: Method developments in structure prediction and design Chavan, Archana G. 01 January 2014 (has links) (PDF) Proteins are molecular machines of life in the truest sense. Being the expressors of genotype, proteins have been a focus in structural biology. Since the first characterization and structure determination of protein molecule more than half a century ago1, our understanding of protein structure is improving only incrementally. While computational analysis and experimental techniques have helped scientist view the structural features of proteins, our concepts about protein folding remain at the level of simple hydrophobic interactions packing side-chain at the core of the protein. Furthermore, because the rate of genome sequencing is far more rapid than protein structure characterization, much more needs to be achieved in the field of structural biology. As a step in this direction, my dissertation research uses computational analysis and experimental techniques to elucidate the fine structural features of the tertiary packing in proteins. With these set of studies, the knowledge of the field of structural biology extends to the fine details of higher order protein structure. Biochemistry Bioinformatics Biophysics Pure sciences Biological sciences Casp Cd De novo sequence design Expression Helix-helix Helix-sheet Knob-socket model Nmr Protein design Protein structure Purification Structure prediction Tertiary packing Chemicals and Drugs Chemistry Medical Pharmacology Medicinal-Pharmaceutical Chemistry Medicine and Health Sciences Pharmaceutical Preparations Pharmacy and Pharmaceutical Sciences Physical Sciences and Mathematics
393	VISUAL ANALYTICS OF BIG DATA FROM MOLECULAR DYNAMICS SIMULATION Catherine Jenifer Rajam Rajendran (5931113) 03 February 2023 (has links) <p>Protein malfunction can cause human diseases, which makes the protein a target in the process of drug discovery. In-depth knowledge of how protein functions can widely contribute to the understanding of the mechanism of these diseases. Protein functions are determined by protein structures and their dynamic properties. Protein dynamics refers to the constant physical movement of atoms in a protein, which may result in the transition between different conformational states of the protein. These conformational transitions are critically important for the proteins to function. Understanding protein dynamics can help to understand and interfere with the conformational states and transitions, and thus with the function of the protein. If we can understand the mechanism of conformational transition of protein, we can design molecules to regulate this process and regulate the protein functions for new drug discovery. Protein Dynamics can be simulated by Molecular Dynamics (MD) Simulations.</p> <p>The MD simulation data generated are spatial-temporal and therefore very high dimensional. To analyze the data, distinguishing various atomic interactions within a protein by interpreting their 3D coordinate values plays a significant role. Since the data is humongous, the essential step is to find ways to interpret the data by generating more efficient algorithms to reduce the dimensionality and developing user-friendly visualization tools to find patterns and trends, which are not usually attainable by traditional methods of data process. The typical allosteric long-range nature of the interactions that lead to large conformational transition, pin-pointing the underlying forces and pathways responsible for the global conformational transition at atomic level is very challenging. To address the problems, Various analytical techniques are performed on the simulation data to better understand the mechanism of protein dynamics at atomic level by developing a new program called Probing Long-distance interactions by Tapping into Paired-Distances (PLITIP), which contains a set of new tools based on analysis of paired distances to remove the interference of the translation and rotation of the protein itself and therefore can capture the absolute changes within the protein.</p> <p>Firstly, we developed a tool called Decomposition of Paired Distances (DPD). This tool generates a distance matrix of all paired residues from our simulation data. This paired distance matrix therefore is not subjected to the interference of the translation or rotation of the protein and can capture the absolute changes within the protein. This matrix is then decomposed by DPD</p> <p>using Principal Component Analysis (PCA) to reduce dimensionality and to capture the largest structural variation. To showcase how DPD works, two protein systems, HIV-1 protease and 14-3-3 σ, that both have tremendous structural changes and conformational transitions as displayed by their MD simulation trajectories. The largest structural variation and conformational transition were captured by the first principal component in both cases. In addition, structural clustering and ranking of representative frames by their PC1 values revealed the long-distance nature of the conformational transition and locked the key candidate regions that might be responsible for the large conformational transitions.</p> <p>Secondly, to facilitate further analysis of identification of the long-distance path, a tool called Pearson Coefficient Spiral (PCP) that generates and visualizes Pearson Coefficient to measure the linear correlation between any two sets of residue pairs is developed. PCP allows users to fix one residue pair and examine the correlation of its change with other residue pairs.</p> <p>Thirdly, a set of visualization tools that generate paired atomic distances for the shortlisted candidate residue and captured significant interactions among them were developed. The first tool is the Residue Interaction Network Graph for Paired Atomic Distances (NG-PAD), which not only generates paired atomic distances for the shortlisted candidate residues, but also display significant interactions by a Network Graph for convenient visualization. Second, the Chord Diagram for Interaction Mapping (CD-IP) was developed to map the interactions to protein secondary structural elements and to further narrow down important interactions. Third, a Distance Plotting for Direct Comparison (DP-DC), which plots any two paired distances at user’s choice, either at residue or atomic level, to facilitate identification of similar or opposite pattern change of distances along the simulation time. All the above tools of PLITIP enabled us to identify critical residues contributing to the large conformational transitions in both HIV-1 protease and 14-3-3σ proteins.</p> <p>Beside the above major project, a side project of developing tools to study protein pseudo-symmetry is also reported. It has been proposed that symmetry provides protein stability, opportunities for allosteric regulation, and even functionality. This tool helps us to answer the questions of why there is a deviation from perfect symmetry in protein and how to quantify it.</p> Applications in life sciences Spatial data and applications Semi- and unsupervised learning Visual Analytics Data Visualization Principal Component Analysis Parallel Computing Pearson Coefficient Correlation Protein Structure Analysis Molecular Dynamics Simulation Study Paired-Distance Spatial-Temporal Data Pseudo-Symmetry
394	Interplay between 2-oxoglutarate oxygenases and cancer : studies on the aspartyl/asparaginyl-beta-hydroxylase Pfeffer, Inga January 2014 (has links) No description available.
395	DISTINCT ROLES OF THE aD HELIX IN aCAMKII ACTIVATION CHARACTERIZED USING A DE NOVO MUTATION FROM CHILDREN WITH LEARNING DISABILITIES Walter Saide (16650807) 07 August 2023 (has links) <p>This dissertation describes the effects of a <i>de novo</i> mutation of CaMKII found in children with learning disabilities and describes its effect on catalytic activity. We develop a malachite green assay for the measurement of CaMKII activation and use it for high-throughput chemical screening to identify CaMKII inhibitors and enhancers. We also propose a new mechanism of regulation of CaMKII activity by ADP.</p><p><br></p> Cell neurochemistry Enzymes Basic pharmacology Biologically active molecules Biomolecular modelling and design Proteins and peptides Catalysis and mechanisms of reactions Reaction kinetics and dynamics CaMKII α learning and memory impairment calmodulin calcium signaling kinase activity medicinal chemistry molecular pharmacology enzyme kinetics western blotting biochemistry molecular modeling high throughput chemical screening assay development protein structure enzyme coupled assays malachite green assay cellular biology fluorescence microscopy hplc lc-ms/ms autophosphorylation ATP:ADP ratios
396	Structural Investigation of Processing α-Glucosidase I from Saccharomyces cerevisiae Barker, Megan 20 August 2012 (has links) N-glycosylation is the most common eukaryotic post-translational modification, impacting on protein stability, folding, and protein-protein interactions. More broadly, N-glycans play biological roles in reaction kinetics modulation, intracellular protein trafficking, and cell-cell communications. The machinery responsible for the initial stages of N-glycan assembly and processing is found on the membrane of the endoplasmic reticulum. Following N-glycan transfer to a nascent glycoprotein, the enzyme Processing α-Glucosidase I (GluI) catalyzes the selective removal of the terminal glucose residue. GluI is a highly substrate-specific enzyme, requiring a minimum glucotriose for catalysis; this glycan is uniquely found in biology in this pathway. The structural basis of the high substrate selectivity and the details of the mechanism of hydrolysis of this reaction have not been characterized. Understanding the structural foundation of this unique relationship forms the major aim of this work. To approach this goal, the S. cerevisiae homolog soluble protein, Cwht1p, was investigated. Cwht1p was expressed and purified in the methyltrophic yeast P. pastoris, improving protein yield to be sufficient for crystallization screens. From Cwht1p crystals, the structure was solved using mercury SAD phasing at a resolution of 2 Å, and two catalytic residues were proposed based upon structural similarity with characterized enzymes. Subsequently, computational methods using a glucotriose ligand were applied to predict the mode of substrate binding. From these results, a proposed model of substrate binding has been formulated, which may be conserved in eukaryotic GluI homologs. Biomolecular structure Eukaryotic glycosylation glycosylation N-glycan N-linked glycosylation Carbohydrate biochemistry Inhibitor antiviral therapeutic Structure-based drug design glucosidase glycosidase glycoside hydrolase post-translational modification enzyme enzyme mechanism inverting mechanism structural biology protein structure 6xHis tag Crystal packing sugar substrate X-ray crystallography single anomalous dispersion PHENIX heavy-atom phasing docking autodock autodock vina biophysical methods tryptophan fluorescence glucose oxidase activity assay enzyme inhibition Protein expression Protein purification Pichia pastoris Saccharomyces cerevisiae fondue AOX1 promoter glycoside hydrolysis substrate binding model molecular dynamics molecular dynamics Binding site Active site cleft Endoplasmic reticulum Glycan processing Glycan trimming protein-protein interactions cell-cell communication X-ray diffraction crystallization secreted protein substrate selectivity kojibiose glucotriose miglitol deoxynojirimycin Glc3Man9GlcNAc2 free oligosaccharide species GluI Cwh41 Cwh41p Cwht1p 0306 0307 0760
397	Structural Investigation of Processing α-Glucosidase I from Saccharomyces cerevisiae Barker, Megan 20 August 2012 (has links) N-glycosylation is the most common eukaryotic post-translational modification, impacting on protein stability, folding, and protein-protein interactions. More broadly, N-glycans play biological roles in reaction kinetics modulation, intracellular protein trafficking, and cell-cell communications. The machinery responsible for the initial stages of N-glycan assembly and processing is found on the membrane of the endoplasmic reticulum. Following N-glycan transfer to a nascent glycoprotein, the enzyme Processing α-Glucosidase I (GluI) catalyzes the selective removal of the terminal glucose residue. GluI is a highly substrate-specific enzyme, requiring a minimum glucotriose for catalysis; this glycan is uniquely found in biology in this pathway. The structural basis of the high substrate selectivity and the details of the mechanism of hydrolysis of this reaction have not been characterized. Understanding the structural foundation of this unique relationship forms the major aim of this work. To approach this goal, the S. cerevisiae homolog soluble protein, Cwht1p, was investigated. Cwht1p was expressed and purified in the methyltrophic yeast P. pastoris, improving protein yield to be sufficient for crystallization screens. From Cwht1p crystals, the structure was solved using mercury SAD phasing at a resolution of 2 Å, and two catalytic residues were proposed based upon structural similarity with characterized enzymes. Subsequently, computational methods using a glucotriose ligand were applied to predict the mode of substrate binding. From these results, a proposed model of substrate binding has been formulated, which may be conserved in eukaryotic GluI homologs. Biomolecular structure Eukaryotic glycosylation glycosylation N-glycan N-linked glycosylation Carbohydrate biochemistry Inhibitor antiviral therapeutic Structure-based drug design glucosidase glycosidase glycoside hydrolase post-translational modification enzyme enzyme mechanism inverting mechanism structural biology protein structure 6xHis tag Crystal packing sugar substrate X-ray crystallography single anomalous dispersion PHENIX heavy-atom phasing docking autodock autodock vina biophysical methods tryptophan fluorescence glucose oxidase activity assay enzyme inhibition Protein expression Protein purification Pichia pastoris Saccharomyces cerevisiae fondue AOX1 promoter glycoside hydrolysis substrate binding model molecular dynamics molecular dynamics Binding site Active site cleft Endoplasmic reticulum Glycan processing Glycan trimming protein-protein interactions cell-cell communication X-ray diffraction crystallization secreted protein substrate selectivity kojibiose glucotriose miglitol deoxynojirimycin Glc3Man9GlcNAc2 free oligosaccharide species GluI Cwh41 Cwh41p Cwht1p 0306 0307 0760

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