Bi6003 Quantitative structure - activity relationships

Faculty of Science
Spring 2005
Extent and Intensity
2/0/0. 2 credit(s) (fasci plus compl plus > 4). Type of Completion: zk (examination).
Teacher(s)
doc. Ing. Bohuslav Rittich, CSc. (lecturer)
Guaranteed by
doc. Ing. Bohuslav Rittich, CSc.
Department of Experimental Biology – Biology Section – Faculty of Science
Contact Person: doc. Ing. Bohuslav Rittich, CSc.
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
Biological activity of compounds and the methods of their measurements. Cell membrane structure. Membrane transport of polar and nonpolar molecules. Physico-chemical properties of compounds and their parametrisation. Hydrophobic parameters. Relative hydrophobicity of compounds. Parametrisation of the electronic and steric effects of molecules. Noncovalent interactions and their importance in biological systems. Quantitative structure-activity relationships. Hansch approach. Free-Wilson approach. Indicator variables. Regression analysis and its problems. Strategy in the statistical evaluation of real data sets. Design of biologically active molecules. Examples of evaluation of the antimicrobial activity of selected compounds. Other methods used in quantitative structure-activity relationships.
Literature
  • 3. Exner O. Correlation Analysis of Chemical Data. Plenum Press and SNTL. Prague 1988.
  • 1. Kuchař M., Rejholec V. Využití kvantitativních vztahů mezi strukturou a biologickou aktivitou. Academia. Praha 1987. 2. Kotyk A. Struktura a funkce biomembrán. Skripta MU v Brně. Brno 1996.
Language of instruction
Czech
Further Comments
The course is taught annually.
The course is taught: every week.
The course is also listed under the following terms Spring 2008 - for the purpose of the accreditation, Spring 2011 - only for the accreditation, Spring 2003, Spring 2004, Spring 2006, Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, spring 2012 - acreditation, Spring 2013, Spring 2014.
  • Enrolment Statistics (Spring 2005, recent)
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