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PagP is an integral outer membrane enzyme that transfers a palmitoyl group from a phospholipid to lipid A and the polar headgroup of phosphatidylglycerol (PG). Palmitoyl-lipid A and palmitoyl-PG (PPG) have been implicated in resistance to host immune defenses. PagP proteins are diverse, the E. coli PagP belongs to the major clade of PagP homologs and palmitoylates lipid A regiospecifically at the 2-position, whereas P. aeruginosa PagP belongs to the minor clade of PagP homologs and instead palmitoylates lipid A regiospecifically at the 3’-position. Our objective was to understand how PagP has been adapted in nature to interact with multiple lipid substrates and products. We investigated the structure-function relationships of key major clade homologs, to show that Bordetella PagP palmitoylates lipid A at the 3’-position and employs surface residue T29 in its palmitoyltransferase reaction. Legionella PagP palmitoylates lipid A at the 2-position and was confirmed to select a palmitate chain from a pool including iso-methyl branched phospholipids characteristic of this species. PagP is usually encoded as a single copy on the chromosome in most bacteria, but two copies of pagP are found in endophytic bacteria. These duplicated PagP homologs from the major clade branch into two subclades, namely chromosomal and plasmid-based PagP homologs. The chromosomal PagP homologs exhibit interacting periplasmic D61 and H67 residues, which are naturally mutated in plasmid-based PagP homologs, and are associated with a conformational change in the -barrel that determines its ability to palmitoylate PG. Chromosomal PagPs can convert PPG to bis(monoacylglycero)phosphate (BMP) and lysophosphatidylglycerol (LPG) through a periplasmic active site controlled by the invariant Y87 residue of E. coli PagP. Plasmid-based PagP homologs appear to have been adapted instead as monofunctional lipid A palmitoyltransferases. These results points to a common ancestor for PagP proteins. Knowledge gained from these studies can be applied to protein engineering. / Thesis / Doctor of Philosophy (PhD)

No / Most rotamer libraries are generated from subsets of the PDB and do not fully represent the conformational scope of protein side chains. Previous attempts to rectify this sparse coverage of conformational space have involved application of weighting and smoothing functions. We resolve these limitations by using physics-based molecular dynamics simulations to determine more accurate frequencies of rotameric states. This work forms part of our Dynameomics initiative and uses a set of 807 proteins selected to represent 97% of known autonomous protein folds, thereby eliminating the bias toward common topologies found within the PDB. Our Dynameomics derived rotamer libraries encompass 4.8 × 10(9) rotamers, sampled from at least 51,000 occurrences of each of 93,642 residues. Here, we provide a backbone-dependent rotamer library, based on secondary structure ϕ/ψ regions, and an update to our 2011 backbone-independent library that addresses the doubling of our dataset since its original publication. / NIH

Leung Ka-Kit. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2002. / Includes bibliographical references (leaves 129-131). / Abstracts in English and Chinese. / Abstract --- p.1 / Chapter CHAPTER 1. --- introduction --- p.14 / Chapter 1.1 --- Preamble --- p.14 / Chapter 1.2 --- Biological background --- p.14 / Chapter CHAPTER 2. --- previous related work --- p.18 / Chapter 2.1 --- Protein functionality analysis --- p.18 / Chapter 2.1.1 --- Analysis from primary structure --- p.18 / Chapter 2.1.2 --- Analysis from tertiary structure --- p.20 / Chapter 2.2 --- Secondary structure prediction --- p.21 / Chapter 2.3 --- Motivation - Challenges from protein complexity --- p.22 / Chapter CHAPTER 3. --- mathematical representations for protein properties and sequence alignment --- p.24 / Chapter 3.1 --- Secondary structure sequence model --- p.24 / Chapter 3.2 --- Substitution matrix --- p.26 / Chapter 3.3 --- Gap --- p.26 / Chapter 3.4 --- Similarity measurement --- p.27 / Chapter 3.5 --- Geometric Model for Protein --- p.28 / Chapter CHAPTER 4. --- overall system design --- p.30 / Chapter 4.1 --- System architecture and design --- p.30 / Chapter 4.2 --- System environment --- p.32 / Chapter 4.3 --- Experimental data --- p.32 / Chapter CHAPTER 5. --- adaptive dynamic programming (adp)- general global alignment consideration --- p.35 / Chapter 5.1 --- t-triangles cutting --- p.35 / Chapter 5.1.1 --- Theoretical time and memory requirements of ADP with z-triangles cutting --- p.43 / Chapter 5.1.1.1 --- Study of parameters affecting h in case 1 --- p.44 / Chapter 5.1.1.2 --- Study of parameters affecting h in case 2 --- p.45 / Chapter 5.1.2 --- Experimental results of ADP with z-triangles cutting --- p.46 / Chapter 5.2 --- Constructing the path matrix by expansion --- p.51 / Chapter 5.2.1 --- Time and memory requirements of EXPAND --- p.57 / Chapter 5.2.2 --- Experimental results and discussions --- p.58 / Chapter CHAPTER 6. --- adp - global alignment of sequences with consecutive repeated characters --- p.65 / Chapter 6.1 --- Estimation of similarity upper bound (Ba) --- p.65 / Chapter 6.1.1 --- Sequence composition (SC) consideration --- p.65 / Chapter 6.1.2 --- Implementation of SC --- p.67 / Chapter 6.1.3 --- Experimental results --- p.69 / Chapter 6.1.4 --- Overall trend of change of structures (OTCS) --- p.74 / Chapter 6.1.5 --- Uninformed search --- p.76 / Chapter 6.2 --- Short-cut --- p.80 / Chapter 6.2.1 --- Time and memory requirements --- p.86 / Chapter 6.2.2 --- Experimental results and discussions --- p.86 / Chapter CHAPTER 7. --- ga based topology discovery --- p.87 / Chapter 7.1 --- Chromosome encoding --- p.87 / Chapter 7.2 --- Non-sequential order penalty --- p.88 / Chapter 7.3 --- Fitness function --- p.88 / Chapter 7.4 --- Genetic operators --- p.88 / Chapter 7.4.1 --- Hop operator --- p.89 / Chapter 7.4.2 --- Inverse operator --- p.89 / Chapter 7.4.3 --- Shift operator --- p.90 / Chapter 7.4.4 --- Selection pressure --- p.90 / Chapter 7.5 --- Selection of progeny --- p.91 / Chapter 7.6 --- Implementation --- p.91 / Chapter 7.6.1 --- Size of population and generation --- p.91 / Chapter 7.6.2 --- Parallelization --- p.91 / Chapter 7.6.3 --- Crowding Handling --- p.92 / Chapter 7.6.4 --- Selection of progeny --- p.92 / Chapter 7.7 --- Results of alignment with GA exploration on topological order --- p.93 / Chapter CHAPTER 8. --- FILTERING OF FALSE POSITIVES --- p.103 / Chapter 8.1 --- Alignment Segments to Gap Ratio (ASGR) --- p.103 / Chapter 8.2 --- Tolerance --- p.104 / Chapter 8.3 --- Overall trend of change of structures (OTCS) --- p.104 / Chapter 8.4 --- Results and discussions --- p.105 / Chapter CHAPTER 9. --- SECONDARY STRUCTURE PREDICTION --- p.111 / Chapter 9.1 --- 3-STATE SECONDARY STRUCTURE PREDICTION IMPROVEMENT --- p.111 / Chapter 9.2 --- 8-state secondary structure prediction --- p.117 / Chapter 9.3 --- Iterative Subordinate Voting (IS V) --- p.117 / Chapter 9.4 --- ISV Results and discussion --- p.119 / Chapter CHAPTER 10. --- CONCLUSIONS --- p.123 / Chapter 10.1 --- Contributions --- p.123 / Chapter 10.2 --- Future Work --- p.126 / Chapter 10.2.1 --- Using database indexing --- p.126 / Chapter 10.2.2 --- 3-state secondary structure prediction improvement --- p.127 / appendix --- p.128 / Chapter ´Ø --- Interpretation on the dp一filter results --- p.128

Leung Ka-Kit. / Thesis submitted in: November 2004. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2005. / Includes bibliographical references (leaves 67-71). / Abstracts in English and Chinese. / Abstract / Chapter CHAPTER 1. --- INTRODUCTION --- p.1 / Chapter 1.1 --- Background of protein structures --- p.1 / Chapter 1.2 --- Background of protein-protein interaction (PPI) --- p.4 / Chapter 1.2.1 --- Quaternary structure and protein complex --- p.4 / Chapter 1.2.2 --- Previous related work --- p.4 / Chapter 1.2.3 --- The kinetic and thermodynamic formalism --- p.6 / Chapter CHAPTER 2. --- MATERIALS AND METHODS --- p.10 / Chapter 2.1 --- Amino acid composition representative power modeling --- p.10 / Chapter 2.1.1 --- Propensity level modeling --- p.10 / Chapter 2.1.2 --- Polar atoms visualization --- p.17 / Chapter 2.2 --- Rigid structure representative power modeling --- p.17 / Chapter 2.3 --- Electrostatic potential modeling --- p.17 / Chapter 2.3.1 --- Charge residence --- p.17 / Chapter 2.3.2 --- Minimum Ribbon (MR) --- p.19 / Chapter 2.4 --- Examination of interface --- p.23 / Chapter 2.5 --- Identification procedures of a binding site --- p.24 / Chapter 2.6 --- System requirements --- p.24 / Chapter CHAPTER 3. --- RESULTS AND DISCUSSIONS --- p.24 / Chapter 3.1 --- Polar atoms --- p.25 / Chapter 3.2 --- Minimum Ribbon (MR) --- p.27 / Chapter 3.3 --- "Charge complementarity, propensity level and rigid structure orientation" --- p.31 / Chapter 3.4 --- Identification of interacting site --- p.36 / Chapter CHAPTER 4. --- CONCLUSIONS --- p.64 / System requirements --- p.65 / Basic operation --- p.65 / Limitation --- p.66

Diss. (sammanfattning) Stockholm : Karolinska institutet, 2005. / Härtill 5 uppsatser.

Thesis (Ph.D. in Pharmaceutical Sciences) -- University of Colorado Denver, 2008. / Typescript. Includes bibliographical references (leaves 134-146). Free to UCD Anschutz Medical Campus. Online version available via ProQuest Digital Dissertations;

Thesis (Ph.D. in Neuroscience) -- University of Colorado at Denver and Health Sciences Center, 2006. / Typescript. Includes bibliographical references (leaves 108-118). Free to UCD Anschutz Medical Campus. Online version available via ProQuest Digital Dissertations;

Thesis (Ph.D. in Pharmaceutical Sciences) -- University of Colorado Denver, 2007. / Typescript. Includes bibliographical references (leaves 133-143). Online version available via ProQuest Digital Dissertations.

Bordetella pertussis is a strictly human pathogen and causative agent of infectious respiratory disease called whooping cough. In order to establish successful infection and colonization of the host, B. pertussis uses a broad spectrum of virulence factors such as adhesins (filamentous hemagglutinin, pertactin, and fimbriae) and toxins (adenylate cyclase and pertussis toxins). In addition, the type 3 secretion system (T3SS) was also found in the genus Bordetella. In connection to our previous characterisation of B. pertussis strain lacking the gene encoding RNA chaperone Hfq (Δhfq), which proved that Hfq is required for T3SS functionality, the recombinant T3SS proteins BopB, BopD, BopC and BopN were purified to homogeneity. Next, the specific antibodies were obtained using purified recombinant proteins in order to study the production of the T3SS components in B. pertussis. Using refined anti- BopC antibodies it was for the first time shown that laboratory-adapted B. pertussis strain secretes BopC protein into medium. The recombinant translocators BopB and BopD were also used to examine their pore-forming activity using planar black lipid membranes. Based on the characterisation of hfq deletion mutant, having impaired production of membrane proteins when compared to the wild type, mass spectrometry...