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Dissertations / Theses on the topic 'Protein interaction'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Stylianou, Julianna. "Protein-protein interaction of HSV-1 tegument proteins." Thesis, Imperial College London, 2013. http://hdl.handle.net/10044/1/24663.

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Herpes simplex virus type 1 virions contain a proteinaceous layer between the nucleocapsid and the virus envelope termed the tegument. The mechanism underlying tegumentation remains largely undefined for all herpesviruses, as does the role of many tegument proteins in virus replication. The networks of protein interactions involved in virus assembly have been largely explored and although large-scale studies have been carried out using yeast two hybrid analyses of herpesvirus protein interactions, few of the identified networks have been validated in infected cells. Here, the molecular interac

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2

Li, Wei. "Protein-protein interaction specificity of immunity proteins for DNase colicins." Thesis, University of East Anglia, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.302033.

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3

Tarsounas, Madalina Cecilia. "Synaptonemal complex proteins, post-translational modifications, protein-protein interactions and interaction with the rad51/dmc1 recombinases." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape7/PQDD_0007/NQ39313.pdf.

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4

McDowall, Mark. "Human protein-protein interaction prediction." Thesis, University of Dundee, 2011. https://discovery.dundee.ac.uk/en/studentTheses/697e465a-edbd-41d2-acda-5910a49e4157.

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Protein-protein interactions are essential for the survival of all living cells, allowing for processes such as cell signalling, metabolism and cell division to occur. Yet in humans there are only >38k annotated interactions of an interactome estimated to range between 150k to 600k interactions and out of a potential 300M protein pairs.Experimental methods to define the human interactome generate high quality results, but are expensive and slow. Computational methods play an important role to fill the gap.To further this goal, the prediction of human protein-protein interactions was investi

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5

Ospina, Forero Luis Eduardo. "Modelling protein-protein interaction networks." Thesis, University of Oxford, 2017. https://ora.ox.ac.uk/objects/uuid:c5150074-e160-4c59-8c23-f8804ae3dd2e.

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Proteins, the main motors of the cell, are in charge of performing a diverse array of biological functions. They rarely perform those functions alone, but generally work as groups of proteins that through a complex array of interactions perform a single biological function. These complex interactions between different proteins are often analysed via network theory, where a protein-protein interaction (PPI) network is created considering each protein as a node and each of their interactions as edges. Different approaches from the perspective of network analysis have been proposed to describe, a

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6

Wang, Chu. "Improved conformational sampling for protein-protein docking /." Thesis, Connect to this title online; UW restricted, 2007. http://hdl.handle.net/1773/9194.

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7

García-García, Javier 1982. "Protein-protein interaction network : management of databases and its applications on the computational study of protein-protein interactions." Doctoral thesis, Universitat Pompeu Fabra, 2015. http://hdl.handle.net/10803/286512.

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The use of protein-protein interaction networks has become crucial due to the emergence of systems biology. The completeness and quality of networks, crucial to understand the biochemical mechanisms underlying a system such as a cell, are still challenging the scientific community. This thesis focuses on the data completeness challenge by the development of flexible tools for biological data management. It presents a database framework, BIANA, in which the integrated access to several information sources tackles this problem by unraveling hidden biological associations. BIANA is used to develo

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8

Lam, Wai Kwan. "Investigation of interaction between solube adenylyl cyclase and p34SEI-1 /." View abstract or full-text, 2010. http://library.ust.hk/cgi/db/thesis.pl?BIOL%202010%20LAM.

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9

Johnson, David H. "High-throughput self-interaction chromatography applications in formulation prediction for proteins /." Birmingham, Ala. : University of Alabama at Birmingham, 2008. https://www.mhsl.uab.edu/dt/2009r/johnson.pdf.

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Thesis (M.S.)--University of Alabama at Birmingham, 2008.<br>Title from PDF title page (viewed Sept. 21, 2009). Additional advisors: Martha W. Bidez, W. Michael Carson, Richard A. Gray, W. William Wilson. Includes bibliographical references.

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10

Nam, Hye In. "Multiplexed fragmentation and protein interaction reporter technology application to human cells." Pullman, Wash. : Washington State University, 2009. http://www.dissertations.wsu.edu/Thesis/Summer2009/h_nam_071509.pdf.

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Thesis (M.S. in Chemistry)--Washington State University, August 2009.<br>Title from PDF title page (viewed on Sept. 21, 2009). "Department of Chemistry." Includes bibliographical references (p. 60-66).

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11

Braute, Petter, and Jorg Eliassen Rødsjø. "Protein function prediction using annotated protein-protein interaction networks." Thesis, Norwegian University of Science and Technology, Department of Computer and Information Science, 2005. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9177.

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12

Corsi, Flavia. "Towards the in silico reconstruction of protein interaction networks : identification of DNA- and RNA-protein interfaces, and construction of a database of multiple interactions of proteins." Electronic Thesis or Diss., Sorbonne université, 2019. https://accesdistant.sorbonne-universite.fr/login?url=https://theses-intra.sorbonne-universite.fr/2019SORUS452.pdf.

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Cette thèse porte sur la caractérisation et la prédiction des interfaces protéine-ADN et -ARN, et des comparaisons avec les interfaces protéine-protéine. Nous avons créé un ensemble non-redondant et représentatif de 187 complexes protéine-ADN à haute résolution, comprenant aussi les conformations non liées de 82 protéines. Cette base de données peut servir de référence dans le domaine. Nous avons mené une analyse exhaustive des propriétés de séquence et structurels des interfaces protéine-ADN/ARN et nous les avons comparé avec les propriétés des interfaces protéine-protéine et celles des régio

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13

Jonsson, Pall Freyr. "Computational analysis of protein-protein interaction networks." Thesis, University College London (University of London), 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.439848.

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14

Goffin, Sarah Anne. "Targeting the p53/MDM2 protein-protein interaction." Thesis, University of East Anglia, 2016. https://ueaeprints.uea.ac.uk/57422/.

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The p53/MDM2 protein-protein interaction is the most widely characterised proteinprotein interaction to date. As of 2014, there are over 20 compounds that have been shown to the p53-MDM2 protein-protein interaction, however many compounds have not progressed into clinical trials due to their high hydrophobicity. Herein we describe the synthesis, molecular modelling, physical characterisation and biological testing of novel inhibitors of the p53/MDM2 protein-protein interaction based on the natural product chlorofusin. The first focus is a combinatorial library generated in the Searcey laborato

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15

Wallach, Thomas. "A dynamic circadian protein-protein interaction network." Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät I, 2012. http://dx.doi.org/10.18452/16604.

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Die dynamische Regulation von Protein-Protein Interaktionen (PPIs) ist wichtig für den Ablauf von biologischen Prozessen. Die circadiane Uhr, die einen ~24 Stunden Rhythmus generiert und eine Vielzahl von physiologischen Parametern steuert kann auch die Dynamik von PPIs regulieren. Um neue Erkenntnisse über regulatorische Mechanismen innerhalb des molekularen Oszillators zu gewinnen, habe ich zunächst alle möglichen PPIs zwischen 46 circadianen Komponenten mittels eines systematischen yeast-two-hybid (Y2H) Screens bestimmt. Dabei habe ich 109 bis dahin noch unbekannte PPIs identifiziert und

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16

Keen, Nicholas John. "Interaction of human papillomavirus E6 protein with cellular proteins." Thesis, University of Cambridge, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.321494.

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17

Shevchenko, Anna. "Characterization of Protein Complexes and Protein Interaction Networks by Mass Spectrometry." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2004. http://nbn-resolving.de/urn:nbn:de:swb:14-1101913240562-37411.

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The major goal of this study was to develop an experimental proteomics approach for deciphering protein complexes and protein interaction networks in the budding and fission yeasts. Key steps of the employed analytical routine, including the purification of complexes and mass spectrometric identification of their subunits, were investigated in detail. Archiving, storage and handling of polyacylamide gels, visualization of protein bands and their effect on the efficiency of in-gel digestion and mass spectrometric identification of proteins were quantitatively evaluated. It was further demonstra

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18

Jüttemann, Thomas. "Adding 3D-structural context to protein-protein interaction data from high-throughput experiments." Thesis, University of Edinburgh, 2011. http://hdl.handle.net/1842/5666.

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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 st

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19

Chiang, Angela Hsieh Fu-hung. "Protein-protein interaction of soy protein isolate from extrusion processing." Diss., Columbia, Mo. : University of Missouri-Columbia, 2007. http://hdl.handle.net/10355/5099.

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Thesis (M.S.)--University of Missouri-Columbia, 2007.<br>The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file (viewed on May 11, 2009) Thesis advisor: Fu-Hung Hsieh. Includes bibliographical references.

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20

Swift, Simon. "Tryptophan synthase : a model for protein/protein interaction." Thesis, University of Nottingham, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.303962.

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21

Hosur, Raghavendra. "Structure-based algorithms for protein-protein interaction prediction." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/75843.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Materials Science and Engineering, 2012.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student submitted PDF version of thesis.<br>Includes bibliographical references (p. 109-124).<br>Protein-protein interactions (PPIs) play a central role in all biological processes. Akin to the complete sequencing of genomes, complete descriptions of interactomes is a fundamental step towards a deeper understanding of biolog

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22

Lite, Thúy-Lan Võ. "The genetic landscape of protein-protein interaction specificity." Thesis, Massachusetts Institute of Technology, 2020. https://hdl.handle.net/1721.1/129035.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Biology, 2020<br>Cataloged from student-submitted PDF of thesis.<br>Includes bibliographical references.<br>Protein-protein interaction specificity is often encoded at the primary sequence level, and by just a few interfacial residues. Collectively, these residues have both positive and negative roles, promoting a desired, cognate interaction and preventing non-cognate interactions, respectively. However, for most protein-protein interactions, the contributions of individual specificity residues are poorly understood and ofte

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23

Topping, Ryan. "Quantitative methods for reconstructing protein-protein interaction histories." Thesis, Imperial College London, 2013. http://hdl.handle.net/10044/1/14618.

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Protein-protein interactions (PPIs) are vital for the function of a cell and the evolution of these interactions produce much of the evolution of phenotype of an organism. However, as the evolutionary process cannot be observed, methods are required to infer evolution from existing data. An understanding of the resulting evolutionary relationships between species can then provide information for PPI prediction and function assignment. This thesis further develops and applies the interaction tree method for modelling PPI evolution within and between protein families. In this approach, a phyloge

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24

CEOL, ARNAUD. "Integration of protein interaction and protein localization data." Doctoral thesis, Università degli Studi di Roma "Tor Vergata", 2008. http://hdl.handle.net/2108/594.

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L'approccio allo studio del genoma attraverso gli strumenti della proteomica ha portato all'accumulo di una grande mole di informazioni riguardo la concentrazione e distribuzione delle molecole biologiche e loro interazioni. In questo lavoro di tesi mi sono proposto di sviluppare metodi per il recupero e l' archiviazione di dati sperimentali relativi all' interazione e localizzazione proteica. Sono state quindi sviluppate tre banche dati: MINT, Domino e CellMINT , allo scopo di integrare i diversi risultati sperimentali e valutare l'affidabilità delle informazioni sperimentali. MINT è na

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25

Hetti, Arachchilage Madara Dilhani. "Coevolution of epitopes in HIV-1 pre-integration complex proteins: protein-protein interaction insights." Kent State University / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=kent1530646538935895.

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26

Lemma, Dechassa Mekonnen. "SWI/SNF-nucleosome interactions and disassembly of nucleosomes : novel methodologies for mapping protein-protein and protein-DNA interaction /." Available to subscribers only, 2009. http://proquest.umi.com/pqdweb?did=1791777401&sid=9&Fmt=2&clientId=1509&RQT=309&VName=PQD.

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Thesis (Ph. D.)--Southern Illinois University Carbondale, 2009.<br>"Molecular Biology, Microbiology and Biochemistry." Keywords: Nucleosomes, Protein-DNA interaction, Protein-protein interactions. Includes bibliographical references (p. 123-152). Also available online.

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27

Lemma, Dechassa Mekonnen. "SWI/SNF-NUCLEOSOME INTERACTIONS AND DISASSEMBLY OF NUCLEOSOMES: NOVEL METHODOLOGIES FOR MAPPING PROTEIN-PROTEIN AND PROTEIN-DNA INTERACTION." OpenSIUC, 2008. https://opensiuc.lib.siu.edu/dissertations/267.

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AN ABSTRACT OF THE DISSERTATION OF MEKONNEN LEMMA DECHASSA, for the Doctor of Philosophy degree in MOLECULAR BIOLOGY, MICROBIOLOGY, AND BIOCHEMISTRY, presented on December 18, 2008, at Southern Illinois University Carbondale. TITLE: SWI/SNF-NUCLEOSOME INTERACTIONS AND DISASSEMBLY OF NUCLEOSOMES: NOVEL METHODOLOGIES FOR MAPPING PROTEIN-PROTEIN AND PROTEIN-DNA INTERACTION MAJOR PROFESSOR: Dr. Blaine Bartholomew The SWI/SNF complex disrupts and mobilizes chromatin in an ATP-dependent manner. A site-directed photoaffinity crosslinking approach in which photoreactive moieties attached at spe

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28

Yokoyama, Charles Takeshi. "Regulation of SNARE protein interaction with Cav2.2 channels by protein phosphorylation /." Thesis, Connect to this title online; UW restricted, 2002. http://hdl.handle.net/1773/6279.

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29

Chernov, Konstantin Grigorievich. "Interplay of YB-1 between tubulin and mRNA." Thesis, Evry-Val d'Essonne, 2008. http://www.theses.fr/2008EVRY0040/document.

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YB-1 est un régulateur important de l’expression des gènes dans les cellules eucaryotes. En plus de son rôle dans la transcription, YB-1 joue un rôle clé dans la traduction et la stabilisation des ARN messagers. Nous avons identifié plusieurs nouveaux partenaires de la protéine YB-1 par chromatographie d’affinité à partir de différents extraits tissulaires. Parmi ces partenaires, nous avons démontré que YB-1 interagit avec la tubuline et les microtubules et stimule fortement l'assemblage des microtubules in vitro. Les microtubules assemblés en présence de YB-1 ont une ultrastructure normale, e

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30

Crane, Jennine Marie. "Characterization of two modes of interaction between the chaperone SecB and its binding partners." Free to MU Campus, others may purchase, 2004. http://wwwlib.umi.com/cr/mo/fullcit?p3144410.

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31

Ma, Wenwei. "Protein-nanoparticles interaction and assembly." Thesis, University of Lincoln, 2017. http://eprints.lincoln.ac.uk/30884/.

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Nanoparticles are increasingly important in biotechnology as they are extensively used as drug delivery carriers and in biosensors. In both these two contexts, protein-nanoparticle interactions are often involved. Proteins that are present in body fluids inevitably interact with nanoparticle based drug carriers and typically surround them forming the so called “protein corona”. Biosensors that are based on nanoparticles often have proteins deliberately attached to their surface, for example antibodies that bind specific analytes. The understanding of the assembly mechanisms at the protein-nano

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32

Rubin, Katy Jane. "Dynamics of protein interaction subnetworks." Thesis, King's College London (University of London), 2015. http://kclpure.kcl.ac.uk/portal/en/theses/dynamics-of-protein-interaction-subnetworks(da388f39-d18b-46ff-b77d-005feb77cac2).html.

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I show that in the generic situations where a biological network, e.g. a protein interaction network, is in fact a subnetwork embedded in a larger bulk network, the presence of the bulk causes not just extrinsic noise but also memory effects. This means that the dynamics of the subnetwork will depend not only on its present state, but also its past. I use projection techniques to get explicit expressions for the memory functions that encode such memory effects, for generic protein interaction networks involving binary and unary reactions such as complex formation and phosphorylation, respectiv

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33

Joachimiak, Lukasz A. "In silico evolution of protein-protein interactions : from altered specificities to de novo complexes /." Thesis, Connect to this title online; UW restricted, 2007. http://hdl.handle.net/1773/9211.

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34

LOBO, DENISE DA SILVEIRA. "PROTEIN-PROTEIN INTERACTION ANALYSIS OF THE DEFENSIN PSD1 FROM PISUM SATIVUM WITH NEUROSPORA CRASSA PROTEINS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2006. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=9447@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>Defensinas de planta, componentes inatos do sistema imune das plantas, são peptídeos antifúngicos, catiônicos, com estrutura primária rica em cisteína. Evidência dada pela literatura demonstrou que trechos de esfingolipídios complexos na membrana dos fungos, contendo manosildiinositolfosforilceramida e glicosilceramida, são sítios de ligação seletivos para as defensinas de planta isoladas de Dahlia merckii e Raphanus sativus, respectivamente. Entretanto, desconhece-se se as defensinas de planta interagem direta ou indiretamente com al

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Sakhawalkar, Neha. "Hub Proteins, Paralogs, and Unknown Proteins in Bacterial Interaction Networks." VCU Scholars Compass, 2017. http://scholarscompass.vcu.edu/etd/4730.

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Proteins are the functional units of cells. However, a major portion of the proteome does not have a known functional annotation. This dissertation explores protein -protein interactions, involving these uncharacterized or unknown function proteins. Initially, protein – protein interactions were tested and analyzed for paralogous proteins in Escherichia coli. To expand this concept further and to get an overview, protein – protein interactions were analyzed using ‘comparative interactomics’ for four pathogenic bacterial species including Escherichia coli, Yersinia pestis, Vibrio cholerae and S

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36

Paradesi, Martin Samuel Rao. "Graph-based protein-protein interaction prediction in Saccharomyces cerevisiae." Thesis, Manhattan, Kan. : Kansas State University, 2008. http://hdl.handle.net/2097/931.

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Badger, David B. "Design and Synthesis of Protein-Protein Interaction Inhibitor Scaffolds." Scholar Commons, 2012. http://scholarcommons.usf.edu/etd/3964.

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Many currently relevant diseases such as cancer arise from altered biological pathways that rely on protein-protein interactions. The proteins involved in these interactions contain certain functional domains that are responsible for the protein's biological activities. These domains consist of secondary structural elements such as α-helices and Β-sheets which are at the heart of the protein's biological activity. Therefore, designing drugs that inhibit protein-protein interactions by binding to these key secondary structural elements should provide an effective treatment for many diseases.

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Akula, Kavitha. "Expanding the Spiroligomers Toolbox as Protein-Protein Interaction Inhibitors." Diss., Temple University Libraries, 2017. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/422281.

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Chemistry<br>Ph.D.<br>This work presents the application of spiroligomers as inhibitors of protein-protein interactions. After the discovery of an acyl-transfer coupling reaction by Dr. Zachary Brown, a previous graduate student of Schafmeister group, the synthesis of highly functionalized spiroligomers that mimic the helical domain of p53 was undertaken before each molecule was tested for binding to HDM2, a natural binding partner of p53. A library of molecules was synthesized on solid support that altered the stereochemistry along the spiroligomer as well as the presented functional groups.

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Thornton, Jared Kenneth. "Protein-protein interaction screens : an investigation into the interactions of Sam68 and ASPP1 in the testis." Thesis, University of Newcastle Upon Tyne, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.424147.

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Cai, Bingjing. "Machine learning approaches for extracting protein complexes from protein-protein interaction networks." Thesis, Ulster University, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.603536.

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Recent advances in molecular biology have led to the accumulation of large amounts of data on Protein-Protein Interaction (PPI) networks in different species, such as yeast and humans. Due to the inherent complexity, analysing such volumes of data to extract knowledge, such as protein complexes or regulatory pathways, represents not only an enormous challenge but also a great opportunity. This Thesis explores the application of machine learning approaches to detecting protein complexes from PPI networks obtained by Tandem Affinity Purification/Mass Spectrometry (TAP-MS) experiments. TAP-MS PPI

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Boscolo, Cappon Jona <1988&gt. "DETECTIVE OVERLAPPING PROTEIN COMPLEXES IN PROTEIN-PROTEIN INTERACTION NETWORK USING DOMINANT SETS." Master's Degree Thesis, Università Ca' Foscari Venezia, 2013. http://hdl.handle.net/10579/2871.

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Chandrachud, Uma. "Differential interaction of wild type and mutant p53 to promoter sequences and analysis of interacting proteins." Diss., Online access via UMI:, 2009.

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43

Treccani, Laura. "Protein-mineral interaction of purified nacre proteins with calcium carbonate crystals." [S.l.] : [s.n.], 2006. http://deposit.d-nb.de/cgi-bin/dokserv?idn=981220584.

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Liu, Xinyan. "Studies of the Manduca sexta cadherin-like receptor binding epitopes of Bacillus thuringiensis Cry1Aa toxin and protein engineering of mosquitocidal activity." Connect to resource, 2005. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1117655918.

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Thesis (Ph. D.)--Ohio State University, 2005.<br>Title from first page of PDF file. Document formatted into pages; contains x, 104 p.; also includes graphics. Includes bibliographical references (p. 91-104). Available online via OhioLINK's ETD Center

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Rivera, Corban G. "Identifying Evolutionarily Conserved Protein Interaction Networks." Thesis, Virginia Tech, 2005. http://hdl.handle.net/10919/33604.

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Our goal is to investigate protein networks conserved between different organisms. Given the protein interaction networks for two species and a list of homologous pairs of protein in the two species, we propose a model for measuring whether two subnetworks, one in each protein interaction network, are conserved. Our model separately measures the degree of conservation of the two subnetworks and the quality of the edges in each subnetwork. We propose an algorithm for finding pairs of networks, one in each protein interaction network, with high conservation and high quality. When applied to pu

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46

Wierschin, Torsten [Verfasser]. "Graphical models for protein-protein interaction interface prediction / Torsten Wierschin." Greifswald : Universitätsbibliothek Greifswald, 2015. http://d-nb.info/1072253771/34.

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47

Gremalschi, Stefan. "Optimization Techniques for Protein-Protein Co-Regulation and Interaction Prediction." Digital Archive @ GSU, 2009. http://digitalarchive.gsu.edu/cs_diss/47.

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The availability of large gene expression microarray data has brought along many challenges for biological data mining. Many different clustering methods have been proposed and widely used to analyze gene expression data. The underlying concept allows to identify sets of genes sharing similar expression patterns across subsets of samples, and its usefulness has been demonstrated for different organisms and data sets. Currently, there are several biclustering methods that use different techniques; however, it is not clear how to compare the resulted biclusters with respect to biological relevan

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48

Fitzgerald, Ross Patrick. "Small molecule inhibitors of the p53-MDM2 protein-protein interaction." Thesis, University of Nottingham, 2011. http://eprints.nottingham.ac.uk/13136/.

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In Chapter 2, bis- and tris- arylsulfonamides, were investigated as possible inhibitors of the p53-MDM2 protein-protein interaction (PPI). The lead compound, 19, inhibited the PPI, in a fluorescence polarisation (FP) based competitive binding assay with ICso 26.4 pM and the most potent analogue, 66, with ICso 3 μM. The active compounds in this series, possess a 5-chloro-4-nitro-2-sulfonamoyl substituted thiophene ring that is very susceptible to SNAr reactions at the 5-position. Analogues of 19 and 66 were prepared to investigate the SAR of these inhibitors. No improvements in activity or stru

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Lavallée-Adam, Mathieu. "Protein-protein interaction confidence assessment and network clustering computational analysis." Thesis, McGill University, 2014. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=121237.

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Protein-protein interactions represent a crucial source of information for the understanding of the biological mechanisms of the cell. In order to be useful, high quality protein-protein interactions must be computationally extracted from the noisy datasets produced by high-throughput experiments such as affinity purification. Even when filtered protein-protein interaction datasets are obtained, the task of analyzing the network formed by these numerous interactions remains tremendous. Protein-protein interaction networks are large, intricate, and require computational approaches to provide me

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Hsueh-Chuan, Liu, and 劉學銓. "Reconstructing protein-protein interaction networks fromdomain-domain interactions." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/37434443517363542174.

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Abstract:

碩士<br>亞洲大學<br>生物資訊研究所<br>94<br>Protein-protein interactions (PPIs) play pivotal roles in various aspects of the structural and functional organization of the cell, and their complete description is indispensable to thorough understanding of the cell. Currently, domain-domain interactions can be useful for validating, annotating, and predicting protein-protein interactions. In this study, we employ the domain combination pair approach, introduced by Han et. al [1,2] to derive putative protein domain-domain interactions from the protein-protein interaction database DIP. Domain annotation of each

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