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Dissertations / Theses on the topic 'Ligand to protein docking'

Author: Grafiati

Published: 4 June 2021

Last updated: 15 February 2022

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1

Genheden, Samuel. "A fast protein-ligand docking method." Thesis, University of Skövde, School of Humanities and Informatics, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-69.

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<p>In this dissertation a novel approach to protein-ligand docking is presented. First an existing method to predict putative active sites is employed. These predictions are then used to cut down the search space of an algorithm that uses the fast Fourier transform to calculate the geometrical and electrostatic complementarity between a protein and a small organic ligand. A simplified hydrophobicity score is also calculated for each active site. The docking method could be applied either to dock ligands in a known active site or to rank several putative active sites according to their biologic

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2

Totrov, Maxim. "Computational studies on protein-ligand docking." Thesis, Open University, 1999. http://oro.open.ac.uk/58005/.

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This thesis describes the development and refinement of a number of techniques for molecular docking and ligand database screening, as well as the application of these techniques to predict the structures of several protein-ligand complexes and to discover novel ligands of an important receptor protein. Global energy optimisation by Monte-Carlo minimisation in internal co-ordinates was used to predict bound conformations of eight protein-ligand complexes. Experimental X-ray crystallography structures became available after the predictions were made. Comparison with the X-ray structures showed

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3

Claußen, Holger. "Effizientes Protein-Ligand-Docking mit flexiblen Proteinstrukturen /." Sankt Augustin : GMD-Forschungszentrum Informationstechnik, 2001. http://www.gbv.de/dms/bs/toc/33264023X.pdf.

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4

Oledzki, Peter Richard. "Developing a protein-ligand docking algorithm : FlexLigDock." Thesis, University of Leeds, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.435818.

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5

Datta, Deepshikha Goddard William A. "Protein-ligand interactions : docking, design and protein conformational change /." Diss., Pasadena, Calif. : California Institute of Technology, 2003. http://resolver.caltech.edu/CaltechETD:etd-03242003-111426.

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6

Fischer, Bernhard Karl. "High throughput simulation methods for protein ligand docking." Karlsruhe : Forschungszentrum Karlsruhe, 2007. http://d-nb.info/985070374/34.

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7

Fischer, Bernhard Karl [Verfasser]. "High throughput simulation methods for protein ligand docking / Bernhard Karl Fischer." Karlsruhe : Forschungszentrum Karlsruhe, 2007. http://d-nb.info/985070374/34.

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8

Wang, Qi. "Protein-ligand Docking Application and Comparison using Discovery Studio and AutoDock." Thesis, North Dakota State University, 2017. https://hdl.handle.net/10365/28365.

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Protein-ligand docking is a structure-based computational method, which is used to predict the small molecule binding modes and binding affinities with protein receptors. The goals of this study are to compare the docking performances of different software and apply the docking method to predict how protein fatty acid desaturase 1 (FADS1) interact with ligands. Two docking software, Discovery Studio and AutoDock, are used for docking comparison of 195 protein-ligand complexes from PDBind dataset. AutoDock performs a little bit better than Discovery Studio on the docking percentage, which is th

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9

Andersson, David. "Multivariate design of molecular docking experiments : An investigation of protein-ligand interactions." Doctoral thesis, Umeå universitet, Kemiska institutionen, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-35736.

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To be able to make informed descicions regarding the research of new drug molecules (ligands), it is crucial to have access to information regarding the chemical interaction between the drug and its biological target (protein). Computer-based methods have a given role in drug research today and, by using methods such as molecular docking, it is possible to investigate the way in which ligands and proteins interact. Despite the acceleration in computer power experienced in the last decades many problems persist in modelling these complicated interactions. The main objective of this thesis was t

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10

Buonfiglio, Rosa <1985&gt. "Computational strategies to include protein flexibility in Ligand Docking and Virtual Screening." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2014. http://amsdottorato.unibo.it/6330/.

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The dynamic character of proteins strongly influences biomolecular recognition mechanisms. With the development of the main models of ligand recognition (lock-and-key, induced fit, conformational selection theories), the role of protein plasticity has become increasingly relevant. In particular, major structural changes concerning large deviations of protein backbones, and slight movements such as side chain rotations are now carefully considered in drug discovery and development. It is of great interest to identify multiple protein conformations as preliminary step in a screening campaign. Pr

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11

Tai, Hio Kuan. "Protein-ligand docking and virtual screening based on chaos-embedded particle swarm optimization algorithm." Thesis, University of Macau, 2018. http://umaclib3.umac.mo/record=b3948431.

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12

Huggins, David John. "Multiscale docking using evolutionary optimisation." Thesis, University of Oxford, 2005. http://ora.ox.ac.uk/objects/uuid:f166d5ec-5085-48b9-838a-626f754f73fb.

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Molecular docking algorithms are computational methods that predict the binding site and docking pose of specified ligands with a protein target. They have proliferated in recent years, due to the explosion of structural data in biology. Oxdock is an algorithm that uses various techniques to simplify this complex task, the most significant being the use of a multiscale approach to analyse the problem using a simple representation in the early stages. Oxdock is shown to be a very useful tool in computational biology, as exemplified by two cases. The first case is the analysis of the NMDA subcla

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13

Mucs, Daniel. "Computational methods for prediction of protein-ligand interactions." Thesis, University of Manchester, 2012. https://www.research.manchester.ac.uk/portal/en/theses/computational-methods-for-prediction-of-proteinligand-interactions(33ad0b24-ef7b-4dff-8e28-597a2f34e079).html.

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This thesis contains three main sections. In the first section, we examine methodologies to discriminate Type II protein kinase inhibitors from the Type I inhibitors. We have studied the structure of 55 Type II kinase inhibitors and have notice specific descriptive geometric features. Using this information we have developed a pharmacophore and a shape based screening approach. We have found that these methods did not effectively discriminate between the two inhibitor types used independently, but when combined in a consecutive way – pharmacophore search first, then shape based screening, we h

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14

Taylor, Richard David. "Novel simulation methods for flexible docking." Thesis, University of Southampton, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.368873.

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15

ten, Brink Tim [Verfasser]. "Automated Structure Preparation and Its Influences on Protein-Ligand Docking and Virtual Screening / Tim ten Brink." Konstanz : Bibliothek der Universität Konstanz, 2011. http://d-nb.info/101745504X/34.

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16

CHHABRA, MONICA. "Modeling and Analysis of Ligand Docking to Norovirus Capsid Protein for the Computer-Aided Drug Design." University of Cincinnati / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1209001634.

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17

Dayl, Sudad Amer. "Molecular modelling of ATP-gated P2X receptor ion channels." Thesis, University of Leicester, 2018. http://hdl.handle.net/2381/42761.

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P2X receptors (P2XRs) are trimeric cation channels activated by extracellular ATP. Human P2XRs (P2X1-7) are expressed in nearly all mammalian tissues, and they are an important drug target because of their involvement in inflammation and neuropathic pain. The aim of this thesis is to address the following questions. P2XR crystal structures have revealed an unusual U-shape conformation for bound ATP; how does the U-shape conformation of ATP and its derivatives affect channel activation? Where and how do the selective, non-competitive inhibitors AZ10606120 and A438079 bind to P2X7R? What is the

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18

Enekwa, C. Denise. "In silico design of novel binding ligands for biological targets." Thesis, Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/41067.

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An in silico design algorithm has been developed to design binding ligands for protein targets of known three-dimensional structure. In this method, the binding energy of a candidate ligand is used to ascribe it a probability of binding. A sample of a virtual library of candidate ligands is then used to ascribe implicit weights to all the ligands in the library. These weights are used to obtain virtual sub-libraries which collectively carry a greater probability to bind to the target. This algorithm is presented along with validation studies on the different algorithmic components, demonstrati

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19

Gonçalves, Reinaldo Bellini. "Development and validation of new methods of distribution of initial population on genetic algorithms for the problem of protein-ligand docking." Laboratório Nacional de Computação Científica, 2008. http://www.lncc.br/tdmc/tde_busca/arquivo.php?codArquivo=154.

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The methods of protein-ligand docking are computational methods usedto predict the mode of binding of molecules into drug candidates for its receptor. The docking allows tests of hundreds of compounds in ashort space of time, assisting in the discovery of new drug candidates. The great complexity that involves the binding of protein-ligand complex, makes the problem of docking computationally difficult to be solved. In this work, we used the Genetic Algorithms which is a technique of optimization based on the theory of biological evolution of Darwin. The proposed algorithm was implemented and

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20

Patschull, Lafitte-Laplace Anathe Olivia Maria. "In silico ligand fitting/docking, computational analysis and biochemical/biophysical validation for protein-RNA recognition and for rational drug design in diseases." Thesis, Birkbeck (University of London), 2014. http://bbktheses.da.ulcc.ac.uk/84/.

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Kaposi’s sarcoma-associated herpesvirus, is a double-stranded DNA γ - herpesvirus and the main causative agent of Kaposi’s sarcoma (KS). γ - herpesviruses undergo both lytic and latent replication cycles; and encode proteins that modulate host transcription at the RNA level, by inducing decay of certain mRNAs. Here we describe a mechanism that allows the viral endo-/exonuclease SOX to recognise mRNA targets on the basis of an RNA motif and fold. To induce rapid RNA degradation by subverting the main host mRNA degradation pathway SOX was shown to directly bind Xrn1. This may shed light as to ho

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21

Pavlovicz, Ryan Elliott. "Investigation of Protein/Ligand Interactions Relating Structural Dynamics to Function: Combined Computational and Experimental Approaches." The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1397220613.

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22

Planesas, Galvez Jesús M. "Estudio y cribado virtual de compuestos químicos antivirales (VIH). Estudio de la modulación alostérica de agonistas y antagonistas del receptor celular CXCR4." Doctoral thesis, Universitat Ramon Llull, 2015. http://hdl.handle.net/10803/312147.

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Els mètodes de descobriment de nous fàrmacs han evolucionat recentment gràcies a la resolució de les estructures proteiques que actuen com a dianes terapèutiques responsables de malalties o desregulacions biològiques. Aquestes estructures proteiques tridimensionals, juntament amb el desenvolupament de noves tècniques computacionals permeten el desenvolupament accelerat de nous compostos candidats a esdevenir fàrmacs. El present treball s’inicia proposant un nou mètode que millora l’elecció de compostos candidats a ser inhibidors d’una “diana difícil”, però ben coneguda com és el receptor VEG

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23

OBAIDULLAH, AHMAD J. "USING HYDROPATHIC MOLECULAR MODELING TOOLS TO ENHANCE UNDERSTANDING OF PROTEIN-LIGAND INTERACTIONS IN BIOLOGICAL SYSTEMS." VCU Scholars Compass, 2017. https://scholarscompass.vcu.edu/etd/5156.

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Hydropathic molecular modeling is a computer-aided molecular design technique for obtaining, representing, and understanding the properties and interactions of biomacromolecular complexes in the biological environment. Hydropathic INTeraction (HINT) is a novel empirical force field to calculate the free energy of intermolecular interaction based on experimentally determined partition coefficients (log Po/w). It includes all the expected interactions between molecules such as hydrogen bonding, hydrophobic, electrostatic, acid-base, and Coulombic interactions, entropy, solvation and others. HINT

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24

Ghiasi, Zahra. "Development of a Computational Mechanism to Generate Molecules with Drug-likeCharacteristics." Ohio University / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou162861276157897.

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25

Alonso, Hernan, and hernan alonso@anu edu au. "Computer Modelling and Simulations of Enzymes and their Mechanisms." The Australian National University. The John Curtin School of Medical Research, 2006. http://thesis.anu.edu.au./public/adt-ANU20061212.161155.

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Although the tremendous catalytic power of enzymes is widely recognized, their exact mechanisms of action are still a source of debate. In order to elucidate the origin of their power, it is necessary to look at individual residues and atoms, and establish their contribution to ligand binding, activation, and reaction. Given the present limitations of experimental techniques, only computational tools allow for such detailed analysis. During my PhD studies I have applied a variety of computational methods, reviewed in Chapter 2, to the study of two enzymes: DfrB dihydrofolate reductase (DHFR) a

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26

Alves, Ariane Ferreira Nunes. "Um método computacional para estimar afinidades entre proteínas flexíveis e pequenos ligantes." Universidade de São Paulo, 2013. http://www.teses.usp.br/teses/disponiveis/46/46131/tde-08052013-144801/.

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Métodos computacionais são usados para gerar estruturas de complexo proteína-ligante e estimar suas afinidades. Esse trabalho investigou como as diferentes representações da flexibilidade proteica afetam as poses obtidas por ancoragem molecular e as afinidades atribuídas a essas poses. Os mutantes L99A e L99A/M102Q da lisozima T4 foram escolhidos como sistemas modelo. Um descritor para predição de afinidades baseado na aproximação de energia de interação linear (LIE) foi parametrizado especificamente para ligantes da lisozima e foi usado para estimar as afinidades. A proteína foi representada

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27

Kumari, Vandana. "Structure-Based Computer Aided Drug Design and Analysis for Different Disease Targets." The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1311612599.

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28

Bedi, Shimpi. "Identification of Novel Ligands and Structural Requirements for Heterodimerization of the Liver X Receptor Alpha." Wright State University / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=wright1495630797912988.

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29

Folly, da Silva Constantino Laura. "An effective layered workflow of virtual screening for identification of active ligands of challenging protein targets." Thesis, University of Iowa, 2017. https://ir.uiowa.edu/etd/5754.

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Docking is a computer simulation method used to predict the preferred orientation of two interacting chemical species that has been successfully applied to numerous macromolecules over the years. However, non-traditional targets have inherent difficulties associated with their screening. Large interfaces, lack of obvious binding sites, and transient pockets are some examples. Additionally, most natural ligands of challenging targets are inadequate models for identifying or designing new ligands. Therefore, it is not surprising that customary techniques of structure-based virtual screening are

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30

Bivall, Petter. "Touching the Essence of Life : Haptic Virtual Proteins for Learning." Doctoral thesis, Linköpings universitet, Medie- och Informationsteknik, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-58994.

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This dissertation presents research in the development and use of a multi-modal visual and haptic virtual model in higher education. The model, named Chemical Force Feedback (CFF), represents molecular recognition through the example of protein-ligand docking, and enables students to simultaneously see and feel representations of the protein and ligand molecules and their force interactions. The research efforts have been divided between educational research aspects and development of haptic feedback techniques. The CFF model was evaluated in situ through multiple data-collections in a univers

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31

Cabeza, de Vaca López Israel. "Mapping biophysics through enhanced Monte Carlo techniques." Doctoral thesis, Universitat Politècnica de Catalunya, 2015. http://hdl.handle.net/10803/334172.

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This thesis is focused on the study of molecular interactions at the atomistic detail and is divided into one introductory chapter and four chapters referencing different problems and methodological approaches. All of them are focused on the development and improvement of computational Monte Carlo algorithms to study, in an efficient manner, the behavior of these systems at a classical molecular mechanics level. The four biophysical problems studied in this thesis are: induced fit docking between protein-ligand and between DNA-ligand to understand the binding mechanism, protein stretching resp

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32

Ojelabi, Ogooluwa A. "Small Molecule Modulation of GLUT1-Mediated Glucose Transport." eScholarship@UMMS, 2017. https://escholarship.umassmed.edu/gsbs_diss/950.

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The glucose transport protein, GLUT1, is highly expressed in rapidly proliferating cells, including cancer cells, while decreased GLUT1 levels are found in diseases such as GLUT1 deficiency syndrome and Alzheimer’s. There is increased interest in developing GLUT1 inhibitors as novel anticancer therapeutics, and the discovery of compounds that directly stimulate GLUT1 function. This work investigates how small molecules stimulate and/or inhibit GLUT1-mediated glucose transport, either directly or through the AMPK pathway. Using sugar transport assays and docking analyses to explore Ligand–GLUT1

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33

Khristova, Tetiana. "Computer-aided design of novel antithrombotic agents." Phd thesis, Université de Strasbourg, 2013. http://tel.archives-ouvertes.fr/tel-01018545.

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Thrombosis is the most important pathological process underlying many cardiovascular diseases, which are responsible for high mortality worldwide. In this theses the computer-aided design of new anti-thrombotic agents able to inhibit two types of receptors located on the surface of the platelets has been applied. The first one - αIIbβ3 - is responsible for the interaction of activated platelets with fibrinogen to form clots, whereas the second one - thromboxane A2 - is responsible for platelet activation by one of agonists excreted by activated platelets. To achieve this, different types of mo

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34

Zöllner, Frank G. "Enhancing protein-protein docking by new approaches to protein flexibility and scoring of docking hypotheses." [S.l. : s.n.], 2004. http://deposit.ddb.de/cgi-bin/dokserv?idn=972854142.

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35

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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36

Moont, Gidon. "Computational modelling of protein/protein and protein/DNA docking." Thesis, University College London (University of London), 2005. http://discovery.ucl.ac.uk/1445703/.

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The docking problem is to start with unbound conformations for the components of a complex, and computationally model a near-native structure for the complex. This thesis describes work in developing computer programs to tackle both protein/protein and protein/DNA docking. Empirical pair potential functions are generated from datasets of residue/residue interactions. A scoring function was parameterised and then used to screen possible complexes, generated by the global search computer algorithm FTDOCK using shape complementarity and electrostatics, for 9 systems. A correct docking (RMSD < 2.5

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37

Vasseur, Romain. "Développements HPC pour une nouvelle méthode de docking inverse : applications aux protéines matricielles." Thesis, Reims, 2015. http://www.theses.fr/2015REIMS036.

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Ce travail de thèse consiste au développement méthodologique et logiciel d'une méthode de docking moléculaire dite inverse. Cette méthode propose à travers le programme AMIDE — Automatic Inverse Docking Engine — de distribuer un grand nombres de simulations d'amarrage moléculaire sur des architectures HPC (clusters de calcul) avec les applications AutoDock 4.2 et AutoDock Vina. Le principe de cette méthode consiste à tester de petites molécules sur un ensemble de protéines cibles potentielles. Les paramètres optimaux ont été définis à partir d'une étude pilote et le protocole a été validé sur

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38

Livoti, Elsa Livoti. "Experimentally validated computational docking to characterize protein-protein interactions." Thesis, University of Kent, 2017. https://kar.kent.ac.uk/67450/.

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Each biomolecule in a living organism needs to adopt a specific threedimensional conformation to function properly. Function itself is usually achieved by specific interactions between biomolecular units. Structural knowledge at atomic level of biomolecules and their interaction is important to understand the mechanisms leading to biological response and to develop strategies to interfere with them when necessary. Antibodies are molecules of the immune system playing an ever more prominent role in basic research as well as in the biotechnology and pharmaceutical sectors. Characterizing their r

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39

Tunbridge, Ian William. "Graphics processing unit accelerated coarse-grained protein-protein docking." Doctoral thesis, University of Cape Town, 2011. http://hdl.handle.net/11427/11670.

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Includes abstract.<br>Includes bibliographical references (leaves [187]-202).<br>In this work, we describe a Graphics processing unit (GPU) implementation of the Kim-Hummer coarse-grained model for protein docking simulations, using a Replica Exchange Monte-Carlo (REMC) method. Our highly parallel implementation vastly increases the size- and time scales accessible to molecular simulation. We describe in detail the complex process of migrating the algorithm to a GPU as well as the effect of various GPU approaches and optimisations on algorithm speed-up.

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Grimm, Vera. "Untersuchung eines wissensbasierten Potentials zur Bewertung von Protein-Protein-Docking-Studien." [S.l. : s.n.], 2003. http://deposit.ddb.de/cgi-bin/dokserv?idn=967176506.

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41

Hyvönen, Martin. "Protein-Protein Docking Using Starting Points Based On Structural Homology." Thesis, Linköpings universitet, Bioinformatik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-122016.

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Protein-protein interactions build large networks which are essential in understanding complex diseases. Due to limitations of experimental methodology there are problems with large amounts of false negative and positive interactions; and a large gap in the amount of known interactions and structurally determined interactions. By using computational methods these problems can be alleviated. In this thesis the quality of a newly developed pipeline (InterPred) were investigated for its ability to generate coarse interaction models and score them. This ability was investigated by performing docki

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42

Huang, Bingding. "Improving protein docking with binding site prediction." Doctoral thesis, [S.l. : s.n.], 2008. http://nbn-resolving.de/urn:nbn:de:bsz:14-ds-1216305428189-09951.

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Koch, Kerstin. "Statistical analysis of amino acid side chain flexibility for 1:n protein protein docking." [S.l. : s.n.], 2003. http://deposit.ddb.de/cgi-bin/dokserv?idn=968919413.

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Lantz, Mikael. "A targeted evaluation of OpenEye’s methods for virtual ligand screens and docking." Thesis, University of Skövde, School of Humanities and Informatics, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-959.

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<p>The process of drug discovery is very slow and expensive. There is a need for reliable in silico methods; however the performance of these methods differs.</p><p>This work presents a targeted study on how the drug discovery methods used in OpenEye’s tools ROCS, EON and FRED perform on targets with small ligands. It was examined if 12 compounds (markers) somewhat similar to AMP could be detected by ROCS in a random data set comprised of 1000 compounds. It was also examined if EON could find any electrostatic similarities between the queries and the markers. The performance of FRED with respe

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45

Sajjadi, Sajdeh [Verfasser]. "Step by step in fast protein-protein docking algorithms / Sajdeh Sajjadi." Lübeck : Zentrale Hochschulbibliothek Lübeck, 2014. http://d-nb.info/1060276887/34.

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Flöck, Dagmar. "Protein-protein docking and Brownian dynamics simulation of electron transfer proteins." [S.l. : s.n.], 2003. http://deposit.ddb.de/cgi-bin/dokserv?idn=969418736.

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47

Rörbrink, Malin. "Improving detection of promising unrefined protein docking complexes." Thesis, Linköpings universitet, Bioinformatik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-133633.

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Understanding protein-protein interaction (PPI) is important in order to understand cellular processes. X-ray crystallography and mutagenesis, expensive methods both in time and resources, are the most reliable methods for detecting PPI. Computational approaches could, therefore, reduce resources and time spent on detecting PPIs. During this master thesis a method, cProQPred, was created for scoring how realistic coarse PPI models are. cProQPred use the machine learning method Random Forest trained on previously calculated features from the programs ProQDock and InterPred. By combining some of

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48

Jiménez, García Brian. "Development and optimization of high-performance computational tools for protein-protein docking." Doctoral thesis, Universitat de Barcelona, 2016. http://hdl.handle.net/10803/398790.

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Computing has pushed a paradigm shift in many disciplines, including structural biology and chemistry. This change has been mainly driven by the increase in performance of computers, the capacity of dealing with huge amounts of experimental and analysis data and the development of new algorithms. Thanks to these advances, our understanding on the chemistry that supports life has increased and it is even more sophisticated that we had never imagined before. Proteins play a major role in nature and are often described as the factories of the cell as they are involved in virtually all importan

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Barradas, Bautista Didier. "Protein-protein docking for interactomic studies and its aplication to personalized medicine." Doctoral thesis, Universitat de Barcelona, 2017. http://hdl.handle.net/10803/401708.

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Proteins are the embodiment of the message encoded in the genes and they act as the building blocks and effector part of the cell. From gene regulation to cell signalling, as well as cell recognition and movement, protein-protein interactions (PPIs) drive many important cellular events by forming intricate interaction networks. The number of all non-redundant human binary interactions, forming the so-called interactome, ranges from 130,000 to 650,000 interactions as estimated by different studies. In some diseases, like cancer, these PPIs are altered by the presence of mutations in individual

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Mandell, Jeffrey G. "Protein-protein interactions studied by hydrogen-deuterium exchange and computer-aided docking /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2000. http://wwwlib.umi.com/cr/ucsd/fullcit?p9970664.

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