PřF:C2130 Introduction to chemoinformati - Course Information
C2130 Introduction to chemoinformatics and bioinformaticsFaculty of Science
- Extent and Intensity
- 2/0/0. 2 credit(s) (fasci plus compl plus > 4). Type of Completion: zk (examination).
- prof. RNDr. Jaroslav Koča, DrSc. (lecturer)
Mgr. Lenka Malinovská, Ph.D. (lecturer)
doc. RNDr. Radka Svobodová, Ph.D. (lecturer)
prof. RNDr. Michaela Wimmerová, Ph.D. (lecturer)
- Guaranteed by
- prof. RNDr. Jaroslav Koča, DrSc.
National Centre for Biomolecular Research - Faculty of Science
Supplier department: National Centre for Biomolecular Research - Faculty of Science
- Thu 16:00–17:50 C04/211
- Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 28 student(s).
Current registration and enrolment status: enrolled: 0/28, only registered: 0/28, only registered with preference (fields directly associated with the programme): 0/28
- fields of study / plans the course is directly associated with
- Chemoinformatics and Bioinformatics (programme PřF, B-BCH)
- Course objectives
- Students will learn basic knowledge about chemoinformatics and bioinformatics. Basic idea is to bridge the notion of information in chemoinformatics, where small molecules are the key objects, and understanding information in bioinformatics, where attention is focused on biopolymers, namely proteins and nucleic acids.
At the end of the course students should be able to:
Understand and draw 2-D and 3-D representation of molecules in computers;
Work with methods and the information how to get from genome information to biological function prediction;
Understand the relationship structure-activity-biological function
- 1.What is chemoinformatics and bioinformatics ? 2.Representation and manipulation with 2-D structures. 3.3-D representation 4.Molecular descriptors 5.Quantitative-Strucure-Activity-Relationships (QSAR) models. 6.Methods to measure molecular similarity. 7.Molecular biology databases. Search for genes. 8.Sequence alignment. Principles, software. Multiple sequence alignment. 9.Gene prediction, phylogenetical evolutionary analysis. 10.Protein secondary structure prediction, basic 2-D and 3-D motives. 11.Sequence-function relationship, conserved regions, protein families. 12.3-D protein topology, 3-D structure prediction, threading 13.Methods to analyze large amount of data, virtual screening.
- LEACH, Andrew R. and Valerie J. GILLET. An introduction to chemoinformatics. Dordrecht: Springer, 2005. xv, 259 s. ISBN 1-4020-1347-7. info
- BUNIN, Barry A. Chemoinformatics : theory, practice, & products. Dordrecht: Springer, 2007. xi, 295. ISBN 1402050003. info
- XIONG, Jin. Essential bioinformatics. 1st pub. Cambridge: Cambridge University Press, 2006. xi, 339. ISBN 0521600820. info
- MOUNT, David W. Bioinformatics : sequence and genome analysis. 2nd ed. Cold Spring Harbor, N.Y.: Cold Spring Harbor Laboratory Press, 2004. xii, 692. ISBN 0879697121. info
- Teaching methods
- lectures with practical demonstrations
- Assessment methods
- Written examination
- Language of instruction
- Further Comments
- Study Materials
The course is taught annually.