university of maribor faculty of chemistry and chemical engineering ...
university of maribor faculty of chemistry and chemical engineering ...
university of maribor faculty of chemistry and chemical engineering ...
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klasifikacija proteinskih struktur, predikcija strukturein modeliranje, povezava proteinske strukture zgenomom, predikcija funkcije proteinov (ortologi,paralogi), računalniško načrtovanje novih zdravilspojinLaboratorijske vaje:Genska tipizacija polimorfizmov v k<strong>and</strong>idatnih genihizbranih z orodji bioinformatikeclassification <strong>of</strong> protein structures, protein prediction<strong>and</strong> modeling, assignment <strong>of</strong> protein structures togenomes, drug discovery <strong>and</strong> development,computer-assisted drug designLaboratory work:Genotying polymorphisms in c<strong>and</strong>idate genesselected using bioinformatic toolsTemeljni literatura in viri / Textbooks:1. Lesk A: (2005) Introduction to Bioinformatics. 2 nd Ed, Oxford University Press, Oxford, UK2. Barnes MR, Gray IC: Bioinformatics for geneticist. John Wiley&Sons, R.J.M , West Sussex, 2003.3. Attwood TK, Parry-Smith DJ (1999) Introduction to Bioinformatics. Prentice Hall, Harlow, Engl<strong>and</strong>.4. Baxevanis AD, Francis Ouellette BF (1998) Bioinformatics A Practical Guide to the Analysis <strong>of</strong>Genes <strong>and</strong> Proteins. Wiley-Interscience, A John Wiley & Sons Inc., Publication, New York, USA.5. Kanehisa M (2002) Post-genome Informatics. Oxford University Press, Oxford, United KingdomCilji:Študent bo znal uporabljati glavne podatkovnezbirke in programska orodja s področja biokemije,molekularne biologije in genomikeObjectives:Students will be able to use relevant databases <strong>and</strong>bioinformatic tools in the fields <strong>of</strong> bio<strong>chemistry</strong>,molecular biology <strong>and</strong> genomics.Predvideni študijski rezultati:Znanje in razumevanje:vrste in struktura podatkovnih zbirkpomen in interpretacija molekularno bioloških ingenomskih podatkovPrenesljive/ključne spretnosti in drugi atributi:študenti bodo znali uporabljati programska orodjaza dostop do relevantnih podatkov iz podatkovnihzbirk s področja molekularne biologije in genomikeMetode poučevanja in učenja:PredavanjaSeminarske vajeLaboratorijske vajeIntended learning outcomes:Knowledge <strong>and</strong> Underst<strong>and</strong>ing:type <strong>and</strong> structure <strong>of</strong> databasesmeaning <strong>and</strong> interpretation <strong>of</strong> molecularbiology <strong>and</strong> genomic dataTransferable/Key Skills <strong>and</strong> other attributes:students will be able to acsess <strong>and</strong> retrievemost relevant data from available databasesin the field <strong>of</strong> molecular biology <strong>and</strong>genomicsLearning <strong>and</strong> teaching methods:LecturesTutorialLaboratory workNačini ocenjevanja:Način (pisni izpit, ustno izpraševanje,naloge, projekt)pisni izpitustni izpitDeleţ (v %) /Weight (in %)6040Assessment:Student has to pass successfully thefollowing obligations:writen examinationoral examinationOpomba:Navedene sestavine so obvezna sestavina učnega načrta predmeta kot ga določajoMerila za akreditacijo visokošolskih zavodov in študijskih programov v 7. členu (Ur. l.RS, št. 101/2004).91
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