Suchergebnis: Katalogdaten im Herbstsemester 2017

Biologie Master Information
Wahlvertiefungen
Wahlvertiefung: Strukturbiologie und Biophysik
Wahlpflicht Masterkurse
NummerTitelTypECTSUmfangDozierende
529-0733-00LEnzymesW7 KP3GD. Hilvert
KurzbeschreibungVermittlung eines Überblicks über die Chemie von Enzymen, enzymkatalysierten Reaktionen, metabolischen Prozessen.
LernzielVermittlung eines Überblicks über die Chemie von Enzymen, enzymkatalysierten Reaktionen, metabolischen Prozessen.
InhaltPrinzipien der enzymatischen Katalyse, Enzymkinetiken, Mechanismen enzymkatalysierter Reaktionen (Gruppentransferreaktion, Kohlenstoff-Kohlenstoff-Bindungsknüpfungen, Eliminierungen, Isomerisierungen und Umlagerungen), Kofaktorenchemie, Enzyme in der organischen Synthese und in der Naturstoffbiosynthese, katalytische Antikörper.
SkriptA script will not be handed out.
LiteraturGeneral:
T. Bugg, An Introduction to Enzyme and Coenzyme Chemistry, Blackwell Science Ltd., Oxford, 1997.

In addition, citations from the original literature relevant to the individual lectures will be assigned weekly.
551-1105-00LGlycobiologyW4 KP2VM. Aebi, T. Hennet
KurzbeschreibungStructural principles, nomenclature and different classes of glycosylation. The different pathways of N- and O-linked protein glycosylation and glycolipid biosynthesis in prokaryotes and eukaryotes are discussed. Specific glycan binding proteins and their role in deciphering the glycan code are presented. The role of glycans in infectious diseases, antigen mimicry and autoimmunity are discussed.
LernzielDetailed knowledge in 1) the different areas of prokaryotic and eukaryotic glycobiology, in particular in the biosynthesis of glycoproteins and glycolipids, 2) the cellular machinery required for these pathways, 3) the principles of carbohydrate/protein interaction, 4) the function of lectins, 5) the role of glycans in infectious disease.
InhaltStructure and linkages; analytical approaches; N-linked protein glycosylation (ER, Golgi); glycan-assisted protein folding and quality control; O-linked protein glycosylation; glucosaminoglycans; glycolipids; prokaryotic glycosylation pathways; lectins; glycans and infectious disease
Skripthandouts
LiteraturIntroduction to Glycobiology; M.E.Taylor, K.Drickamer, Oxford University Press, 2003
Essentials of Glycobiology (second edition); A.Varki et al. Cold Spring Harbor Laboratory Press, 2009
Voraussetzungen / BesonderesThe course will be in English. It will include the preparation of short essays (marked) about defined topics in Glycobiology.
551-1103-00LMicrobial Biochemistry Information W4 KP2VJ. Vorholt-Zambelli, J. Piel
KurzbeschreibungThe lecture course aims at providing an advanced understanding of the physiology and metabolism of microorganisms. Emphasis is on processes that are specific to bacteria and archaea and that contribute to the widespread occurrence of prokaryotes. Applied aspects of microbial biochemistry will be pointed out as well as research fields of current scientific interest.
LernzielThe lecture course aims at providing an advanced understanding of the physiology and metabolism of microorganisms.
InhaltImportant biochemical processes specific to bacteria and archaea will be presented that contribute to the widespread occurrence of prokaryotes. Applied aspects of microbial biochemistry will be pointed out as well as research fields of current scientific interest. Emphasis is on concepts of energy generation and assimilation.

List of topics:
Eating sugars and letting them in
Challenging: Aromatics, xenobiotics, and oil
Complex: (Ligno-)Cellulose and in demand for bioenergy
Living on a diet and the anaplerotic provocation
Of climate relevance: The microbial C1 cycle
What are AMO and Anammox?
20 amino acids: the making of
Extending the genetic code
The 21st and 22nd amino acid
Some exotic biochemistry: nucleotides, cofactors
Ancient biochemistry? Iron-sulfur clusters, polymers
Secondary metabolites: playground of evolution
SkriptA script will be provided during the course.
551-1401-00LAdvanced Protein Engineering (University of Zurich) Information
Der Kurs muss direkt an der UZH belegt werden.
UZH Modulkürzel: BCH420

Beschränkte Teilnehmerzahl: max. 10 ETH-Studierende

Beachten Sie die Einschreibungstermine an der UZH: https://www.uzh.ch/cmsssl/de/studies/application/mobilitaet.html
W2 KP2GA.  Plückthun
KurzbeschreibungIntroduction into current research strategies in protein science.
LernzielTo understand current research strategies in protein science.
InhaltProteins have become an object of intense study in modern science, raging from their use as therapeutics to elucidating their structure and function in the cell. Moreover, it is now possible to engineer and evolve tailor-made proteins, opening up many new areas of science. This course will attempt to cover the frontiers and remaining challenges, emphasizing the biochemical foundations of the various approaches.
SkriptSlides and references will be available on OLAT server.
https://www.olat.uzh.ch/olat/auth/repo/go?rid=600670219
LiteraturPDFs will be available on OLAT server.
https://www.olat.uzh.ch/olat/auth/repo/go?rid=600670219
Voraussetzungen / BesonderesSolid knowledge in biochemistry strongly recommended
551-1153-00LSystems Biology of Metabolism
Number of participants limited to 15.
W4 KP2VU. Sauer, N. Zamboni, M. Zampieri
KurzbeschreibungStarting from contemporary biological problems related to metabolism, the course focuses on systems biological approaches to address them. In a problem-oriented, this-is-how-it-is-done manner, we thereby teach modern methods and concepts.
LernzielDevelop a deeper understanding of how relevant biological problems can be solved, thereby providing advanced insights to key experimental and computational methods in systems biology.
InhaltThe course will be given as a mixture of lectures, studies of original research and guided discussions that focus on current research topics. For each particular problem studied, we will work out how the various methods work and what their capabilities/limits are. The problem areas range from microbial metabolism to cancer cell metabolism and from metabolic networks to regulation networks in populations and single cells. Key methods to be covered are various modeling approaches, metabolic flux analyses, metabolomics and other omics.
SkriptScript and original publications will be supplied during the course.
Voraussetzungen / BesonderesThe course extends many of the generally introduced concepts and methods of the Concept Course in Systems Biology. It requires a good knowledge of biochemistry and basics of mathematics and chemistry.
529-0004-00LComputer Simulation in Chemistry, Biology and Physics Information W7 KP4GP. H. Hünenberger
KurzbeschreibungMolecular models, Force fields, Boundary conditions, Electrostatic interactions, Molecular dynamics, Analysis of trajectories, Quantum-mechanical simulation, Structure refinement, Application to real systems. Exercises: Analysis of papers on computer simulation, Molecular simulation in practice, Validation of molecular dynamics simulation.
LernzielIntroduction to computer simulation of (bio)molecular systems, development of skills to carry out and interpret computer simulations of biomolecular systems.
InhaltMolecular models, Force fields, Spatial boundary conditions, Calculation of Coulomb forces, Molecular dynamics, Analysis of trajectories, Quantum-mechanical simulation, Structure refinement, Application to real systems. Exercises: Analysis of papers on computer simulation, Molecular simulation in practice, Validation of molecular dynamics simulation.
SkriptAvailable (copies of powerpoint slides distributed before each lecture)
LiteraturSee: www.csms.ethz.ch/education/CSCBP
Voraussetzungen / BesonderesSince the exercises on the computer do convey and test essentially different skills as those being conveyed during the lectures and tested at the oral exam, the results of the exercises are taken into account when evaluating the results of the exam.

For more information about the lecture: www.csms.ethz.ch/education/CSCBP
401-0649-00LApplied Statistical RegressionW5 KP2V + 1UM. Dettling
KurzbeschreibungThis course offers a practically oriented introduction into regression modeling methods. The basic concepts and some mathematical background are included, with the emphasis lying in learning "good practice" that can be applied in every student's own projects and daily work life. A special focus will be laid in the use of the statistical software package R for regression analysis.
LernzielThe students acquire advanced practical skills in linear regression analysis and are also familiar with its extensions to generalized linear modeling.
InhaltThe course starts with the basics of linear modeling, and then proceeds to parameter estimation, tests, confidence intervals, residual analysis, model choice, and prediction. More rarely touched but practically relevant topics that will be covered include variable transformations, multicollinearity problems and model interpretation, as well as general modeling strategies.

The last third of the course is dedicated to an introduction to generalized linear models: this includes the generalized additive model, logistic regression for binary response variables, binomial regression for grouped data and poisson regression for count data.
SkriptA script will be available.
LiteraturFaraway (2005): Linear Models with R
Faraway (2006): Extending the Linear Model with R
Draper & Smith (1998): Applied Regression Analysis
Fox (2008): Applied Regression Analysis and GLMs
Montgomery et al. (2006): Introduction to Linear Regression Analysis
Voraussetzungen / BesonderesThe exercises, but also the classes will be based on procedures from the freely available, open-source statistical software package R, for which an introduction will be held.

In the Mathematics Bachelor and Master programmes, the two course units 401-0649-00L "Applied Statistical Regression" and 401-3622-00L "Regression" are mutually exclusive. Registration for the examination of one of these two course units is only allowed if you have not registered for the examination of the other course unit.
401-6215-00LUsing R for Data Analysis and Graphics (Part I) Information W1.5 KP1GA. Drewek, M. Mächler
KurzbeschreibungThe course provides the first part an introduction to the statistical software R for scientists. Topics covered are data generation and selection, graphical and basic statistical functions, creating simple functions, basic types of objects.
LernzielThe students will be able to use the software R for simple data analysis.
InhaltThe course provides the first part of an introduction to the statistical software R for scientists. R is free software that contains a huge collection of functions with focus on statistics and graphics. If one wants to use R one has to learn the programming language R - on very rudimentary level. The course aims to facilitate this by providing a basic introduction to R.

Part I of the course covers the following topics:
- What is R?
- R Basics: reading and writing data from/to files, creating vectors & matrices, selecting elements of dataframes, vectors and matrices, arithmetics;
- Types of data: numeric, character, logical and categorical data, missing values;
- Simple (statistical) functions: summary, mean, var, etc., simple statistical tests;
- Writing simple functions;
- Introduction to graphics: scatter-, boxplots and other high-level plotting functions, embellishing plots by title, axis labels, etc., adding elements (lines, points) to existing plots.

The course focuses on practical work at the computer. We will make use of the graphical user interface RStudio: www.rstudio.org

Note: Part I of UsingR is complemented and extended by Part II, which is offered during the second part of the semester and which can be taken independently from Part I.
SkriptAn Introduction to R. http://stat.ethz.ch/CRAN/doc/contrib/Lam-IntroductionToR_LHL.pdf
Voraussetzungen / BesonderesThe course resources will be provided via the Moodle web learning platform
Please login (with your ETH (or other University) username+password) at
https://moodle-app2.let.ethz.ch/enrol/users.php?id=1145
Choose the course "Using R for Data Analysis and Graphics" and follow the instructions for registration.
529-0041-00LModerne Massenspektroskopie, gekoppelte Analysenmethoden, ChemometrieW6 KP3GR. Zenobi, M. Badertscher, B. Hattendorf
KurzbeschreibungModerne Massenspektrometrie, Kopplung von Trenn- mit Identifikationsmethoden, Speziierung, Oberflächenanalytische Methoden, und Chemometrie
LernzielUmfassende Kenntnis der vorgestellten analytischen Methoden und ihre Anwendungen in der Praxis.
InhaltKopplung von Trenn- mit Identifikationsmethoden wie GC-MS, LC-MS, GC-IR, LC-IR, LC-NMR etc.; Wichtigkeit der Speziierung. Moderne Massenspektrometrie: Flugzeit- und Ionen-Cyclotron-Resonanz-Massenspektrometrie, ICP-MS. Weiche Ionisationsmethoden, Desorptions-Methoden, Spray-Methoden. Oberflächenanalytische Methoden (ESCA, Auger, SIMS, Rastermikroskopie-Verfahren). Einsatz der Informatik zur Verarbeitung analytisch-chemischer Daten (Chemometrie).
SkriptEin Skript wird zum Selbstkostenpreis abgegeben.
LiteraturHinweise zur aktuellen Literatur werden in der Vorlesung bezw. im Skript gegeben
Voraussetzungen / BesonderesÜbungen sind in die Vorlesung integriert
Voraussetzung:
529-0051-00 "Analytische Chemie I (3. Semester)"
529-0058-00 "Analytische Chemie II (4. Semester)"
(oder äquivalent)
551-1411-00LMolecular and Structural Biology III: Current Topics Belegung eingeschränkt - Details anzeigen
The course will only take place with a minimum of 6 participants.
W2 KP1VK. Locher, F. Allain, N. Ban, R. Glockshuber, M. Pilhofer, E. Weber-Ban
KurzbeschreibungThe course discusses current topics and cutting edge research in the structural, molecular, and biochemical study of cellular macromolecules. Student participation is an essential component of the course and will contribute to the exam grade
LernzielThe goal is to discuss cutting edge research in the structural, molecular, and biochemical study of cellular macromolecules. Students will also have an opportunity to present and discuss recent breakthroughs relevant to the research fields presented by the faculty teaching the course (see http://www.mol.biol.ethz.ch/research.html for details on the topics).
LiteraturWill be distributed by the instructors
551-1409-00LRNA Biology Lecture Series II: Non-coding RNAs: Biology and TherapeuticsW4 KP2VJ. Hall, M. Stoffel, weitere Dozierende
KurzbeschreibungThis course covers aspects of RNA biology related to the functions of non-coding RNAs as well as their use as drugs to treat diseases.
LernzielThe students should get familiar with the wide array of roles, which non-coding RNAs play in cellular functions.
InhaltMicro RNAs; computational approaches to miRNAs; micro RNA function in metabolism; viruses and viral RNAs; nucleic acid-based drugs; ncRNA-mediated genome regulation; epigenetic programming of genome remodelling in ciliates; telomerase and telomeres; tRNA biology. http://www.nccr-rna-and-disease.ch/tiki-index.php?page=LectureSeries
Voraussetzungen / BesonderesBasic knowledge of cell and molecular biology.
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