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Course, academic year 2024/2025
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Genome-scale metabolic models - MB151P112E
Title: Genome-scale metabolic models
Czech title: Metabolické modely na genomové úrovni
Guaranteed by: Department of Cell Biology (31-151)
Faculty: Faculty of Science
Actual: from 2022
Semester: summer
E-Credits: 4
Examination process: summer s.:combined
Hours per week, examination: summer s.:1/0, Ex [TS]
Capacity: unlimited
Min. number of students: unlimited
4EU+: no
Virtual mobility / capacity: no
State of the course: taught
Language: Czech
Guarantor: Kiran Patil, Ph.D.
Annotation -
Metabolism is a fundamental cellular process that provides molecular building blocks for growth and maintenance of life. To optimize resource use and maximize fitness, cells must be able to respond to genetic and environmental changes through highly coordinated metabolic regulation. The course first introduces the basic principles of operation and regulation of metabolic networks and then covers a new area of genomic level of metabolic modeling. The course will show how to link genomic data to mechanistic modeling using examples of cell factories and microbial communities.
Areas covered: architecture of metabolic networks, genomic level of metabolic models, flux balance analysis, composition of cell factories, simulation of metabolic interactions in microbial communities.
Last update: Šebková Nataša, RNDr., Ph.D. (25.10.2019)
Literature - Czech

Studenti budou mít k dispozici odborné články a kapitoly z knih (příklady jsou uvedeny níže). K dispozici bude také manuál pro cvičení a software pro analýzy.

1. Zelezniak A, Andrejev S, Ponomarova O, Mende DR, Bork P & Patil KR. Metabolic dependencies drive species co-occurrence in diverse microbial communities. Proc. Natl. Acad. Sci. U.S.A. 112 (20), 6449-6454 (2015).

2. Brochado A.R. & Patil K.R. Model-guided identification of gene deletion targets for metabolic engineering in Saccharomyces cerevisiae.  Yeast Metabolic Engineering: Methods and Protocols, Springer, 1152:281-294 (2014).

3. Patil K. R., Rocha I., Forster J. & Nielsen J. Evolutionary programming as a platform for in silico metabolic engineering. BMC Bioinformatics. 6, 308 (2005).

Last update: Novotný Marian, Mgr., Ph.D. (26.03.2018)
Requirements to the exam -

Content of presentations from individual lectures.

Last update: Šebková Nataša, RNDr., Ph.D. (25.10.2019)
Syllabus -

What students will gain during the course:

(i) a basic understanding of metabolic models at the genomic level

(ii) understanding the conversion of genomic and meta genomic data into metabolic models

(iii) skills to carry out basic metabolic modeling in both species and communities

skills to perform simulations for desih microbial cell factories

Last update: Šebková Nataša, RNDr., Ph.D. (25.10.2019)
Entry requirements - Czech

This course is taught in English.

Last update: Novotný Marian, Mgr., Ph.D. (28.03.2018)
 
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