Code: | EBE0198 | Acronym: | EMC |
Keywords | |
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Classification | Keyword |
OFICIAL | Bioprocess Engineering |
OFICIAL | Biological Engineering |
Active? | Yes |
Responsible unit: | Department of Chemical Engineering |
Course/CS Responsible: | Master in Bioengineering |
Acronym | No. of Students | Study Plan | Curricular Years | Credits UCN | Credits ECTS | Contact hours | Total Time |
---|---|---|---|---|---|---|---|
MIB | 17 | Syllabus | 5 | - | 6 | 70 | 162 |
MIEQ | 1 | Syllabus | 5 | - | 6 | 70 | 162 |
To provide the students with the skills needed for the quantification of metabolic fluxes and the use of informatic tools for the analysis and simulations of metabolic processes.
-To understand the importance of metabolic engineering in modern bioengineering
-To know the main mathematical models for the analysis of metabolic and celular systems
-To develop skills in the biomathematics analysis of metabolic networks
-To develop skills in the biomathematical analysis of metabolic fluxes
-To acquire knowledge and develop skills in the use of databases in metabolic engineering
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1.Presentation of concepts:
-Metabolic engineering; Omics; System Biology; Synthetic Biology, Epigenetics, metagenomics
-Fundamental aspects of mathematical simulation in biology
2. Strategic approaches in metabolic engineering:
-Physiological studies, selection of appropriate methods for genetic modification; inverse metabolic engineering
-Biochemical systems theory
-Metabolic control analysis
-Metabolic flux analysis and metabolic network analysis
-Analysis of metabolic pathway - elementary flux modes and extreme pathways
-Analytical methods for metabolic engineering (microarray technology, GC-MS, 13C-NMR and 31P, etc.)
3. Databases in biotechnology (genomics, proteomics, metabolomics, etc.)
4. Emerging applications of metabolic engineering (updated every scholar years).
5. Practical component - Bioinformatics:
-Introduction to bioinformatics
-Generation of the metabolic stoichiometric matrix and metabolic flux calculation
-Use of databases in biotechnology (data mining) and computational tools for metabolic engineering
-Structural and functional bioinformatics
-Quantitative prediction of cellular metabolism with constraint-based models
-Software tools for optimization in metabolic engineering
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Formal exposition of the theoretical and practical elements, using video projector and online material accessible via the Internet. Development of tutorial examples and problem solving with the use of appropriate software.
Designation | Weight (%) |
---|---|
Exame | 50,00 |
Trabalho prático ou de projeto | 50,00 |
Total: | 100,00 |
Designation | Time (hours) |
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Estudo autónomo | 80,00 |
Frequência das aulas | 70,00 |
Trabalho de investigação | 11,00 |
Total: | 161,00 |
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The final grade will be calculated according to the following components:
Final exam (50% in the final classification);
Oral presentation of two emerging themes in metabolic and cellular engineering (25% in the final classification);
Group presentation on bioinformatics (25% in the final classification).
Recurso exam.
To obtain positive rating, the student must obtain a minimum overall rating of 9.5.
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These situations do not preclude the completion of the works proposed. These have to be performed at the same time limit established for regular students. The form of assessment is therefore the same for all students.
Recurso exam.
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