Дисертації з теми "Translational and applied bioinformatics"
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Siangphoe, Umaporn. "META-ANALYSIS OF GENE EXPRESSION STUDIES." VCU Scholars Compass, 2015. http://scholarscompass.vcu.edu/etd/4040.
Повний текст джерелаPodowski, Raf M. "Applied bioinformatics for gene characterization /." Stockholm, 2006. http://diss.kib.ki.se/2006/91-7140-818-5/.
Повний текст джерелаVyas, Hiten. "Information management applied to bioinformatics." Thesis, Loughborough University, 2006. https://dspace.lboro.ac.uk/2134/12906.
Повний текст джерелаAndrade, Jorge. "Grid and High-Performance Computing for Applied Bioinformatics." Doctoral thesis, Stockholm : Bioteknologi, Kungliga Tekniska högskolan, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4573.
Повний текст джерелаZheng, Chunfang. "Genome rearrangement algorithms applied to comparative maps." Thesis, University of Ottawa (Canada), 2006. http://hdl.handle.net/10393/27313.
Повний текст джерелаAbrams, Zachary. "A Translational Bioinformatics Approach to Parsing and Mapping ISCN Karyotypes: A Computational Cytogenetic Analysis of Chronic Lymphocytic Leukemia (CLL)." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1461078174.
Повний текст джерелаBentele, Kajetan. "Mechanisms of translational regulation in bacteria." Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät I, 2013. http://dx.doi.org/10.18452/16839.
Повний текст джерелаThis work investigates the relationship between mechanisms of translational regulation and genome organization in bacteria. The first part analyzes the connection between translational efficiency and codon usage at the beginning of genes. It is known for some organisms that usage of synonymous codons at the gene start deviates from the codon usage elsewhere in the genome. By analyzing about 400 bacterial genomes, evolutionary simulations and experimental investigations, we conclude that the observed deviation of codon usage at the beginning of genes is most likely a consequence of the need to suppress mRNA structure around the ribosome binding site, thereby allowing efficient initiation of translation. We investigate further driving forces for genome organization by studying the impact of gene order within an operon on the fitness of bacterial cells. Operons group functionally related genes which are transcribed together as single mRNAs in E. coli and other bacteria. Correlation of protein levels is thus to a large extent attributed to this coupling on the transcriptional level. In addition, translational coupling, i.e. the interdependence of translational efficiency between neighboring genes within such a mRNA, can stabilize a desired stoichiometry between proteins. Here, we study the role of translational coupling in robustness of E. coli chemotaxis. By employing a model of translational coupling and simulating the underlying signal transduction network we show that the native gene order ranks among the permutations contributing most to robustness of chemotaxis. We therefore conclude that translational coupling is an important determinant of the gene order within the chemotaxis operon. Both these findings show that requirements for efficient gene expression and robustness of cellular function have a pronounced impact on the genomic organization, influencing the local codon usage at the beginning of genes and the order of genes within operons.
Moreno, Cabrera José Marcos. "A translational bioinformatics approach to improve genetic diagnostics of hereditary cancer using next-generation sequencing data." Doctoral thesis, Universitat de Barcelona, 2021. http://hdl.handle.net/10803/672364.
Повний текст джерелаChou, Hsin-Jung. "Transcriptome-Wide Analysis of Roles for Transfer RNA Modifications in Translational Regulation." eScholarship@UMMS, 2017. https://escholarship.umassmed.edu/gsbs_diss/943.
Повний текст джерелаRaiford, Douglas W. III. "Algorithmic Techniques Employed in the Isolation of Codon Usage Biases in Prokaryotic Genomes." Wright State University / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=wright1211902424.
Повний текст джерелаClarke, Declan. "Leveraging Mathematical Models to Predict Allosteric Hotspots in the Age of Deep Sequencing." Thesis, Yale University, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10160849.
Повний текст джерелаA mathematical model is an abstraction that distills quantifiable behaviors and properties into a well-defined formalism in order to learn or predict something about a system. Such models may be as light as pencil-and-paper calculations on the back of an envelope or as heavy as to entail modern super computers. They may be as simple as predicting the trajectory of a baseball or as complex as forecasting the weather. By using macromolecular protein structures as substrates, the objective of this thesis is to improve upon and leverage mathematical models in order to address what is both a growing challenge and a burgeoning opportunity in the age of next-generation sequencing. The rapidly growing volume of data being produced by emerging deep sequencing technologies is enabling more in-depth analyses of protein conservation than previously possible. Increasingly, deep sequencing is bringing to light many disease-associated loci and localized signatures of strong conservation. These signatures in sequence space are the "shadows" of selective pressures that have been acting on proteins over the course of many years. However, despite the rapidly growing abundance of available data on such signatures, as well as the finer resolution with which they may be detected, an intuitive biophysical or functional rationale behind such genomic shadows is often missing (such intuition may otherwise be provided, for instance, by the need to engage in protein-protein interactions, undergo post-translational modification, or achieve a close-packed hydrophobic core). Allostery may frequently provide the missing conceptual link. Allosteric mechanisms act through changes in the dynamic behavior of protein architectures. Because selective evolutionary pressures often act through processes that are intrinsically dynamic in nature, static renderings can fail to provide any plausible rationale for constraint. In the work outlined here, models of protein conformational change are used to predict allosteric residues that either a) act as essential cavities on the protein surface which serve as sources or sinks in allosteric communication; or b) function as important information flow bottlenecks within the allosteric communication pathways of the protein interior. Though most existing approaches entail computationally expensive methods (such as MD) or rely on less direct measures (such as sequence features), the framework discussed herein is simultaneously both computationally tractable and fundamentally structural in nature – conformational change and topology are directly included in the search for allosteric residues – thereby enabling allosteric site prediction across the Protein Data Bank. Large-scale (i.e., general) properties of the predicted allosteric residues are then evaluated with respect to conservation. Multiple threads of evidence (using different sources of data and employing a variety of metrics) are used to demonstrate that the predicted allosteric residues tend to be significantly conserved across diverse evolutionary time scales. In addition, specific examples in which these residues can help to explain previously poorly understood disease-associated variants are discussed. Finally, a practical and computationally rapid software tool that enables users to perform this analysis on their own proteins of interest has been made available to the scientific public.
Szekeres, Ferenc. "Bioinformatics applied to chlorophyll a/b binding proteins in Avena sativa (oat)." Thesis, University of Skövde, Department of Computer Science, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-820.
Повний текст джерелаThe chlorophyll a/b binding (CAB) genes play a very central role in all photosynthetic systems and are for Avena sativa (oat) totally unexplored. This dissertation investigates a large number of EST sequences and this investigation characterises the CAB genes in oat, with help from the evolutionary background of oat and the comparison to a reference organism and similar species.
Ahmed, Ashraf. "Investigation of immunity related genes in a disease host using applied bioinformatics." Thesis, University of Sheffield, 2017. http://etheses.whiterose.ac.uk/18247/.
Повний текст джерелаRho, Mina. "Probabilistic models in computational molecular biology applied to the identification of mobile genetic elements and gene finding." [Bloomington, Ind.] : Indiana University, 2009. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3386714.
Повний текст джерелаTitle from PDF t.p. (viewed on Jul 22, 2010). Source: Dissertation Abstracts International, Volume: 70-12, Section: B, page: 7299. Adviser: Haixu Tang.
Diboun, I. "Bioinformatics protocols for analysis of functional genomics data applied to neuropathy microarray datasets." Thesis, University College London (University of London), 2010. http://discovery.ucl.ac.uk/19298/.
Повний текст джерелаDavies, Robert William. "On the Generation of a Classification Algorithm from DNA Based Microarray Studies." Thesis, University of Ottawa (Canada), 2010. http://hdl.handle.net/10393/28583.
Повний текст джерелаHuseby, Carol. "Molecular Neuropathology in Alzheimer's Disease." The Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1543314678552794.
Повний текст джерелаDabdoub, Shareef Majed. "Applied Visual Analytics in Molecular, Cellular, and Microbiology." The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1322602183.
Повний текст джерелаKierczak, Marcin. "From Physicochemical Features to Interdependency Networks : A Monte Carlo Approach to Modeling HIV-1 Resistome and Post-translational Modifications." Doctoral thesis, Uppsala universitet, Centrum för bioinformatik, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-109873.
Повний текст джерелаStokes, Todd Hamilton. "Development of a visualization and information management platform in translational biomedical informatics." Diss., Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/33967.
Повний текст джерелаGupta, Manish. "Complexity Reduction for Near Real-Time High Dimensional Filtering and Estimation Applied to Biological Signals." Thesis, Harvard University, 2016. http://nrs.harvard.edu/urn-3:HUL.InstRepos:33493389.
Повний текст джерелаEngineering and Applied Sciences - Applied Math
Liu, Shaolin 1968. "Oligonucleotides applied in genomics, bioinformatics and development of molecular markers for rice and barley." Thesis, McGill University, 2004. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=85569.
Повний текст джерелаGarcia, Krystine. "Bioinformatics Pipeline for Improving Identification of Modified Proteins by Neutral Loss Peak Filtering." Ohio University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1440157843.
Повний текст джерелаPiñero, González Janet 1977. "Computational approaches and resources to support translational research in human diseases." Doctoral thesis, Universitat Pompeu Fabra, 2015. http://hdl.handle.net/10803/328417.
Повний текст джерелаLos avances tecnológicos de las últimas dos décadas han producido un incremento dramático en la cantidad y la diversidad de datos biomédicos disponibles. Este proceso ha ocurrido de manera fragmentada, y en consecuencia los datos se encuentran almacenados en distintos repositorios, lo cual impone barreras a la hora de integrarlos, analizarlos y extraer conocimiento a partir de ellos. Para superar estas barreras, es necesario contar con recursos computacionales que integren esta información, y ofrezcan un fácil acceso a la misma, permitiendo al mismo tiempo su análisis automatizado. En respuesta a esta necesidad hemos desarrollado DisGeNET, una plataforma orientada a la exploración de las causas genéticas de las enfermedades humanas, que contiene actualmente información sobre más de 14.000 enfermedades y 17.000 genes. En esta tesis, describimos el uso de DisGeNET para el estudio de las propiedades de los genes asociados a enfermedades en el contexto de redes de interacción entre proteínas. Para ello, evaluamos previamente cómo la utilización de distintos algoritmos de reconocimiento de comunidades en redes afecta a los resultados de los análisis e influencia su interpretación biológica. A continuación, caracterizamos las propiedades de redes de los genes asociados a enfermedades como conjunto y también en sub-grupos, empleando diferentes criterios de clasificaciones de las enfermedades. Posteriormente, evaluamos cómo estas propiedades están relacionadas con la tolerancia a mutaciones posiblemente deletéreas en distintos grupos de genes, mediante el análisis de datos generados por las nuevas tecnologías de secuenciación. Finalmente, desarrollamos una nueva metodología de medicina de sistemas para explorar los mecanismos moleculares de la comorbilidades, y la aplicamos al estudio de las comorbilidades de la enfermedad pulmonar obstructiva crónica
Niklasson, Markus. "Coding to cure : NMR and thermodynamic software applied to congenital heart disease research." Doctoral thesis, Linköpings universitet, Kemi, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-142785.
Повний текст джерелаMooney, Alex M. "The Influence of DNA Sequence and Post Translational Modifications on Nucleosome Positioning and Stability." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1354733493.
Повний текст джерелаZANIN, João Luiz Baldim. "Bioinformatics applied to natural products discovery processes: systematization, biosynthetic evidences, and isolation of promising species." Universidade Federal de Alfenas, 2016. https://bdtd.unifal-mg.edu.br:8443/handle/tede/983.
Повний текст джерелаGenome-guided strategies were applied to examine Betaproteobacteria species potential for the biosynthesis of nonribosomal peptides. A generalizable strategy was created to track similarities in enzymatic reactions of nonribosomal peptides synthetases in order to organize their capability of assembling monomers building the peptides backbones. Databases and user-friendly software were adopted making this strategy a comprehensive one. Databases and software adopted, as well as, NCBI, KEGG, NORINE, antiSMASH, Cystoscape, Gitools, MEGA e Clustal were used for this purpose. Betaproteobacteria species showed to possess biosynthetic similarities in assembling monomers for the peptide backbone of a nonribosomal peptide. These evidences were correlated giving similarities indexes between species and their distribution between similar genomes. Predictions were fragmented in several ways, for example, monomers, pairs and triads. Correlation analyses displayed that pairs it is the best way of tracking similarities. This result turned possible to create a strategy, named XPAIRT (eXPAndable Identification of amino acids in nonRibosomal peptides Tendencies) correlating pairs of peptides and their similar genomes via Jaccard Index and phylogeny. Thought these investigations it was noticed that Betaproteobacteria species generally assemble asp.orn and orn.ser, mainly Burkholderia species, among other pairs of peptides. Further analysis showed that species from the genera Burkholderia are the most promising ones due to their Biosynthetic Gene Cluster counting for all available Betaproteobacteria genomes. These species were further analyzed and a standard strain, Burkholderia thailandensis, was used to the identification of intraspecific variation for their biosynthetic potential. A specific study on Biosynthetic Gene Cluster variation was proceeded for discovering disparities between chromosomes 1 and 2, and a standard antibiotic producer strain, S. coelicolor. Results showed that B. thailandensis have different possibilities for biosynthesizing natural products. Even thought, common classes of compounds such as, Terpenes, Bacteriocins, T1PKS and Nonribosomal Peptides were identified for all strains. As Burkholderia species were the main target in this work, a genome-guided method was developed for isolating as much strains as possible from environmental samples. This very method took into account the basic needs for a microorganism to survive: a) the type of microbiome that microorganisms of interest coexist, analyzed through metagenomics, b) resistance to antibiotics and metals, c) ability to metabolize compounds with biological role, d) cell growth related to different nutrients, and e) cell growth under pH variations. The strategy was successful for diverse types of samples. These exceptional experiments are part of a novel way of working with Natural Products, using genomic, bioinformatics and visual statistical analysis in order to access common characteristics and uniqueness of species guiding the search of medically relevant natural products.
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES
Aniba, Mohamed Radhouane. "Knowledge based expert system development in bioinformatics : applied to multiple sequence alignment of protein sequences." Strasbourg, 2010. https://publication-theses.unistra.fr/public/theses_doctorat/2010/ANIBA_Mohamed_Radhouane_2010.pdf.
Повний текст джерелаThe objective of this PhD project was the development of an integrated expert system to test, evaluate and optimize all the stages of the construction and the analysis of a multiple sequence alignment. The new system was validated using standard benchmark cases and brings a ncw vision to software development in Bioinformatics: knowledge-guided systems. The architecture used to build the expert system is highly modular and flcxible, allowing AlcxSys to evolve as new algorithms are made available. In the future, AlexSys will he uscd to furthcr optimize each stage of the alignment process, for example by optimizing the input parameters of the different algorithms. The inference engine could also be extended to identify combinations of algorithms that could potentially provide complementary information about the input sequences. For example, well aligned regions from different aligners could be identified and combined into a single consensus alignment. Additional structural and functional information could also be exploited to improve the final alignment accuracy. Finally, a crucial aspect of any bioinformatics tool is its accessibility and usability. Therefore, we are currently developing a web server, and a web services based distributed system. We will also design a novel visualization module that will provide an intuitive, user-friendly interface to all the information retrieved and constructed by AlexSys
Shahalizadeh, Kalkhoran Solmaz. "An integrative bioinformatics approach for developing predictors of recurrence for the triple negative and basal subtypes of breast cancer." Thesis, McGill University, 2011. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=97150.
Повний текст джерелаLe Cancer du sein triple négatif (TN) ou basal-like ont de mauvais résultats, et manque les thérapies ciblées et précises marqueurs pronostiques du résultat. Malgré l'application des technologies des biopuces pour le profilage moléculaire des tumeurs du sein, la plus récente des prédicteurs de génomique provenant sont incapables de stratification TN ou basale cancer du sein par résultat. Nous avons rassemblé tous les ensembles de données accessible au public du cancer du sein par l'expression des gènes pour construire un homme-Compendium; de cela, nous avons sélectionné AMT et à la base des cohortes de patients pour construire un TN-Compendium (TN-C) et basal-Compendium (basal-C). En utilisant une machine de novo méthodologie d'apprentissage, nous avons construit des prédicteurs 25-gène de récidive pour les TN et les patients de la base. Par rapport à des prédicteurs signalés précédemment, la performance exposer ces classificateurs supérieure, et mettre en évidence plusieurs processus biologiques, y compris la réponse immunitaire, la régulation du cytosquelette, signalisation et canaux ioniques ligand, comme étant présents de façon différentielle entre les patients récurrents et non récurrents. La petite taille de ces prédicteurs en fait des candidats potentiels pour une utilisation en milieu clinique.
Dong, Siyuan. "A time dependent adaptive learning process for estimating drug exposure from register data - applied to insulin and its analogues." Thesis, KTH, Beräkningsbiologi, CB, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-128438.
Повний текст джерелаFerretti, Yuri. "Ferramenta computacional para análise integrada de dados clínicos e biomoleculares." Universidade de São Paulo, 2015. http://www.teses.usp.br/teses/disponiveis/95/95131/tde-05042016-093735/.
Повний текст джерелаThe great number of translational medicine studies allows researchers to make benefit of data sources from various fields. An area of great importance is bioinformatics, which combines the high computational processing capabilities found nowadays with the endless amount of data generated by next-generation sequencing methods, to give researchers a rich amount of data to be analyzed. Despite the availability of such data, the expertise required to analyze it makes difficult for professionals with little knowledge in bioinformatics, statistics or computer science, to conduct research and analysis on this data. Given this situation, this work was intended to create a tool that takes advantage of multiple databases integration capabilities provided by IPTrans and that allows users to perform analysis on the data contained in these databases. To accomplish that other tools were studied in order to observe which features our framework should aggregate and thus was created the IPTrans A2Tool (IPTrans Advanced Analysis Tool). This tool allows users to perform differential expression analysis and generate output as heatmaps, volcano plots, consensus clustering and blox-plots. In addition, the tool provides an association rule extraction algorithm between clinical and biomolecular data, allowing the user to discover hidden associations between the expression of analyzed genes and clinical data. As a by-product of this work was also created the BioBank Warden a clinical data and biomolecular samples management system that was used as one of the data sources for IPTrans A2Tool. This system allows users to add patients clinical information and also of samples taken for carrying out studies. In addition, the system provides a strong research group and project permission management that ensures only authorized people to have access to patients data.
Schröder, Michael, Rainer Winnenburg, and Conrad Plake. "Improved mutation tagging with gene identifiers applied to membrane protein stability prediction." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-177379.
Повний текст джерелаGlass, Edmund. "Power Analysis in Applied Linear Regression for Cell Type-Specific Differential Expression Detection." VCU Scholars Compass, 2016. http://scholarscompass.vcu.edu/etd/4516.
Повний текст джерелаThölken, Clemens [Verfasser], and Marcus [Akademischer Betreuer] Lechner. "Applied Bioinformatics for ncRNA Characterization - Case Studies Combining Next Generation Sequencing & Genomics / Clemens Thölken ; Betreuer: Marcus Lechner." Marburg : Philipps-Universität Marburg, 2020. http://d-nb.info/1204199736/34.
Повний текст джерелаJones, Derek. "Scalable Feature Selection and Extraction with Applications in Kinase Polypharmacology." UKnowledge, 2018. https://uknowledge.uky.edu/cs_etds/65.
Повний текст джерелаHeyer, Erin E. "Optimizing RNA Library Preparation to Redefine the Translational Status of 80S Monosomes: A Dissertation." eScholarship@UMMS, 2015. https://escholarship.umassmed.edu/gsbs_diss/810.
Повний текст джерелаHeyer, Erin E. "Optimizing RNA Library Preparation to Redefine the Translational Status of 80S Monosomes: A Dissertation." eScholarship@UMMS, 2010. http://escholarship.umassmed.edu/gsbs_diss/810.
Повний текст джерелаRajkovic, Andrei. "Promoting Bacterial Synthesis of Oligo-prolines by Modifying Elongation Factor P Post-translationally." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1469123846.
Повний текст джерелаLin, Frank Po-Yen Centre for Health Informatics Faculty of Medicine UNSW. "In silico virulence prediction and virulence gene discovery of Streptococcus agalactiae." Awarded By:University of New South Wales. Centre for Health Informatics, 2009. http://handle.unsw.edu.au/1959.4/44382.
Повний текст джерелаVila, Casadesús Maria. "Design of bioinformatic tools for integrative analysis of microRNA-mRNA interactome applied to digestive cancers." Doctoral thesis, Universitat de Barcelona, 2017. http://hdl.handle.net/10803/663087.
Повний текст джерелаKatz, Lee Scott. "Computational tools for molecular epidemiology and computational genomics of Neisseria meningitidis." Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/42934.
Повний текст джерелаDutt, Mohini D. "Adverse Childhood Experiences and its Association with Cognitive Impairment in Non- Patient Older Population." Scholar Commons, 2017. http://scholarcommons.usf.edu/etd/7019.
Повний текст джерелаSchröder, Michael, Rainer Winnenburg, and Conrad Plake. "Improved mutation tagging with gene identifiers applied to membrane protein stability prediction." BioMed Central, 2009. https://tud.qucosa.de/id/qucosa%3A28888.
Повний текст джерелаTaslim, Cenny. "Multi-Stage Experimental Planning and Analysis for Forward-Inverse Regression Applied to Genetic Network Modeling." The Ohio State University, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=osu1213286112.
Повний текст джерелаLlorach, Parés Laura. "Computer-Aided Drug Design applied to marine drug discovery = Disseny de fàrmacs assistit per ordinador aplicat a la cerca de possibles fàrmacs marins." Doctoral thesis, Universitat de Barcelona, 2019. http://hdl.handle.net/10803/668298.
Повний текст джерелаEl potencial dels productes naturals en general, i els productes naturals marins en particular, com a entitats farmacològiques ha quedat demostrat al llarg dels últims anys. Els ecosistemes bentònics marins contenen una extraordinària diversitat d'organismes que posseeixen compostos naturals bioactius, que utilitzen com mecanismes químics defensius i de protecció. Aquestes efectives estratègies defensives es basen en metabòlits secundaris, crucials per a la supervivència de les espècies. Tenint en compte les propietats farmacològiques d'aquests compostos químics únics, utilitzar-los per al desenvolupament de nous fàrmacs constitueix una línia interessant de recerca emergent. L'evolució, la biodiversitat i les condicions específiques que es troben en els ecosistemes marins, com ara l'Antàrtida i el mar Mediterrani, els converteixen en una font increïble de possibles agents terapèutics, capaços de modular funcions de proteïnes involucrades en determinades patologies. El procés de descobriment i desenvolupament de nous fàrmacs, per exemple, molècules petites, és un procediment tediós que requereix de recursos econòmics i de temps. Per reduir aquests inconvenients, el disseny de fàrmacs assistit per ordinador (DFAO) ha sorgit com un dels mètodes principals i més eficaços. Es pot fer una exploració ràpida de l'espai químic amb mètodes computacionals i a més, són aproximacions complementàries als mètodes experimentals molt interessants i útils. Les tècniques de DFAO es poden aplicar en diferents passos del procés de descobriment de fàrmacs, i també, poden cobrir diverses fases d'aquest pipeline. Amb aquesta finalitat, es varen establir diversos objectius en aquesta tesi: 1. Dilucidar la possible activitat terapèutica i la capacitat per modular les funcions de proteïnes que estan relacionades amb una determinada patologia de les molècules marines mitjançant l'ús de diferents eines i tècniques de DFAO: I. millorar el pipeline de descobriment de fàrmacs mitjançant l'elucidació del possible potencial terapèutic d'un conjunt de molècules marines enfront d'una llista de dianes relacionades amb diferents patologies. II. Dilucidació de les diferents característiques farmacofóriques dels compostos marins i en un precís estudi d’unió in silico, destacant el poder de les tècniques de DFAO, i avaluar l'activitat inhibidora de diferents productes naturals i derivats d’esquelets indòlics com inhibidors de GSK3β, CK1δ, DYRK1A i CLK1. III. Estudi computacional i validació experimental de meridianines i lignarenones com a possibles inhibidors de GSK3β mitjançant la unió a la cavitat de l'ATP i/o del substrat. En relació amb aquests objectius, les conclusions principals d'aquesta tesi són, que les molècules marines poden ser utilitzades com a agents terapèutics contra proteïnes quinases relacionades amb la malaltia d’Alzheimer, i l'exemplificació del potencial de les tècniques de DFAO aplicat al descobriment de fàrmacs marins.
Nielsen, Michael Lund. "Characterization of Polypeptides by Tandem Mass Spectrometry Using Complementary Fragmentation Techniques." Doctoral thesis, Uppsala : Acta Universitatis Upsaliensis, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-7409.
Повний текст джерелаFranaszek, Krzysztof. "Translation-mediated stress responses : mining of ribosome profiling data." Thesis, University of Cambridge, 2017. https://www.repository.cam.ac.uk/handle/1810/269473.
Повний текст джерелаWilman, Henry R. "Computational studies of protein helix kinks." Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:21225f0e-efed-49c6-af27-5d3fe78fa731.
Повний текст джерелаGopalappa, Chaitra. "Three Essays on Analytical Models to Improve Early Detection of Cancer." Scholar Commons, 2010. https://scholarcommons.usf.edu/etd/1647.
Повний текст джерелаMiñarro, Giménez José Antonio. "Entorno para la Gestión Semántica de Información Biomédica en Investigación Traslacional." Doctoral thesis, Universidad de Murcia, 2012. http://hdl.handle.net/10803/92299.
Повний текст джерелаTranslational research aims to connect basic biomedical researches with clinical research in order to reach new conclusions based on biomedical evidences. To facilitate the translational research, biological and biomedical information must be related. So, we need to integrate biological and biomedical repositories. Life sciences is a knowledge based discipline, in the data and knowledge is represented through vast amounts of complex and changing information stored in disparate resources and in machine-unfriendly formats. Therefore, the availability of computational methods for organizing, accessing and retrieving information in a systematic way has become crucial for the progress of research in life sciences. In this thesis, we present a framework for the semantic management and integration using semantic web technologies. This framework assists life scientists in the exploration of orthologs/genetic diseases research paths by providing a precise, explicit meaning for information units and intertwining such information.