Diss. - Abo Akademi University, 2008. / Includes bibliographical references.

Thesis (M.Phil.)--Hong Kong University of Science and Technology, 2005. / Includes bibliographical references (leaves 164-165). Also available in electronic version.

In the past decade, automatisation has led to an immense increase of data in biology. Next generation sequencing techniques will produce a vast amount of sequences across all species in the coming years. In many cases, identifying the function and biological role of a protein from its sequence can be a complicated and time-intensive task. The identification of a protein's interaction partners is a tremendous help for understanding the biological context in which it is involved. In order to fully characterise a protein-protein interaction (PPIs), it is necessary to know the three-dimensional structure of the interacting partners. Despite optimisation efforts from projects such as the Protein Structure Initivative, determining the structure of a protein through crystallography remains a time- and cost-intensive procedure. The primary aim of the research described in this dissertation was to produce a World Wide Web resource that facilitates visual exploration and validation (or questioning) of data derived from functional genomics experiments, by building upon existing structural information about direct physical PPIs. Secondary aims were (i) to demonstrate the utility of the new resource, and (ii) its application in biological research. We created a database that emphasises specifically the intersection between the PPIs-results emerging from the structural biology and functional genomics communities. The BISC database holds BInary SubComplexes and Modellable Interactions in current functional genomics databases (BICS-MI). It is publicly available at hyyp://bisc.cse.ucsc.edu. BISC is divided in three sections that deliver three types of information of interest to users seeking to investigate or browse PPIs. The template section (BISCHom and BISCHet) is devoted to those PPIs that are characterised in structural detail, i.e. binary SCs extracted from experimentally determined three-dimensional structures. BISCHom and BISCHet contain the homodimeric (13,583 records) and heterodimeric (5612 records) portions of these, respectively. Besides interactive, embedded Jmol displays emphasising the interface, standard information and links are provided, e.g. sequence information and SPOP classification for both partners, interface size and energy scores (PISA). An automated launch of the MolSurfer program enables the user to investigate electrostatic and hydrophobic correlation between the partners, at the inter-molecular interface. The modellable interactions section (BISC0MI) identifies potentially modellable interactions in three major functional genomics interaction databases (BioGRID), IntAct, HPRD). To create BISC-MI all PPIs that are amenable to automated homology modelling based on conservative similarity cut-offs and whose partner protein sequences have recrods in the UniProt database, have been extracted. The modellable interaction services (BISC-MI Services) section offers, upon user request, modelled SC-structures for any PPIs in BISC-MI. This is enabled through an untomated template-based (homology) modelling protocol using the popular MODELLER program. First, a multiple sequence alignment (MSA) is generated using MUSCLE, between the target and homologous proteins collected from UniProt (only reviewed proteins from organisms whose genome has been completely sequenced are included to find putative orthologs). Then a sequence-to-profile alignment is generated to integrate the template structure in the MSA. All models are produced upon user request to ensure that the most recent sequence data for the MSAs are used. Models generated through this protocol are expected to be more accurate generally than models offered by other automated resources that rely on pairwise alignments, e.g. ModBase. Two small studies were carried out to demonstrate the usability and utility of BISC in biological research. (1) Interaction data in functional genomics databases often suffers from insufficient experimental and reporting standards. For example, multiple protein complexes are typically recorded as an inferred set of binary interactions. Using the 20S core particle of the yeast proteasome as an example, we demonstrate how the BISC Web resource can be used as a starting point for further investigation of such inferred interactions. (2) Malaria, a mosquito-borne disease, affects 3500-500 million people worldwide. Still very little is known about the malarial parasites' genes and their protein functions. For Plasmodium falciparum, the most lethal among the malaria parasites, only one experimentally derived medium scale PPIs set is available. The validity of this set has been doubted in the the malarial biologist community. We modelled and investigated eleven binary interactions from this set using the BISC modelling pipeline. Alongside we compared the BISC models of the individual partners to those obtained from ModBase.

One of the most profound open questions in biology is how the genetic code developed. The blueprints for proteins are encoded by triplets of nucleic acids, which in turn require proteins for interpretation and replication. The mere existence of this self-referencing system is a chicken-and-egg dilemma. Aminoacyl-tRNA synthetases are key players in the transfer of genetic information and reflect the earliest episode of life. These enzymes are responsible for loading tRNA molecules with the correct amino acid. Two protein superfamilies of aminoacyl-tRNA synthetases emerged, each responsible for ten amino acids. Despite sequence and structure similarity, the delicate balance between these superfamilies is manifested in two structural motifs, which were identified in the context of this thesis: the Backbone Brackets and the Arginine Tweezers. Both motifs realize constant ligand recognition and can be found in almost all protein structures of aminoacyl-tRNA synthetases. In this thesis, I thoroughly characterized Backbone Brackets and Arginine Tweezers. The specific characteristics of these motifs require high-precision methods for their detection and analysis. However, existing algorithms do not feature an adequate computational representation of structural motifs at the atom level and the support of isofunctional residue mutations. In order to address these limitations, I designed the Fit3D algorithm for template-based and template-free detection of structural motifs. I show that proper computational representation of structural motifs is crucial and improves accuracy up to 26% for a benchmark dataset. Fit3D is a general-purpose tool for structural motif detection in high-resolution protein structure data. In conjunction with the accelerating progress in experimental methods, the demand for such tools will increase rapidly over the next years. I applied Fit3D to structures of aminoacyl-tRNA synthetases to investigate whether Backbone Brackets and Arginine Tweezers are universal building blocks for ligand recognition, and to quantify structural changes upon ligand binding. While the Arginine Tweezers motif is exclusively found in aminoacyl-tRNA synthetases and paralogs, the Backbone Brackets seem to be a general pattern to recognize functional groups of certain ligands. The results show subtle differences in side chain orientation for one structural motif and a backbone shift for the other. This suggests a structural rearrangement to be a general mechanism in some aminoacyl-tRNA synthetases. The detailed level of these analyses would not have been possible without high-precision structural motif detection with Fit3D. The results emphasize the importance of structural motifs, which consist of only a few residues, for the global function of the enzyme. Furthermore, the stunning conservation of the structural motifs located in the core domains of aminoacyl-tRNA synthetases suggests their presence in the earliest predecessors of these enzymes. Both motifs might have played a fundamental role in shaping the genetic code as we know it.

This thesis describes the problems of storage and management of biological data, particularly of Haloalkane Dehalogenase enzymes. Furthermore, the thesis aims at project HADES (HAloalkane DEhalogenase databaSe) initiated by protein engineering group of Loschmidt Laboratories, Masaryk University in Brno. This is a project whose main goal is simply to store, preserve and display a wide variety of proteins data. The result of this work is a flexible database system allowing easy extensibility and maintainability, which is built on technologies Apache, PostgreSQL and PHP using the Zend Framework.