Biomolecular and Metabolic Engineering

Code:

M.BIO038

Acronym:

EMB

Keywords
Classification	Keyword
OFICIAL	Molecular Bioengineering

Instance: 2021/2022 - 1S

Active?	Yes
Responsible unit:	Department of Chemical and Biological Engineering
Course/CS Responsible:	Master in Bioengineering

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
M.BIO	18	Syllabus	1	-	6	58,5	162
M.EQ	5	Syllabus	2	-	6	58,5	162

Teaching language

Portuguese
Obs.: Português - Suitable for English-speaking students

Objectives

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.

Learning outcomes and competences

-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

Working method

Presencial

Pre-requirements (prior knowledge) and co-requirements (common knowledge)

n.a.

Program

-Metabolic engineering; Omics; System Biology; Synthetic Biology

Strategic approaches in metabolic engineering:

- Data analysis in protein-protein interaction

-Metabolic network and flux analysis

-Metabolic control analysis

- Tools for the subcellular localization of (macro)molecules

-Analytical methods for metabolic engineering

Databases in biotechnology

Emerging applications of metabolic engineering


Practical component - Bioinformatics:

-Introduction to bioinformatics

-Application of software in nucleic acid sequences analysis

-Generation of the metabolic stoichiometric matrix and metabolic flux calculation

-Use of databases in biotechnology (data mining) and computational tools for metabolic engineering

-Quantitative prediction of cellular metabolism with constraints-based models

-Software tools for optimisation in metabolic engineering

Mandatory literature

Eberhard Voit ; A First Course in Systems Biology, Garland Science, 2012. ISBN: 9780815344674
Stephanopoulos G N, Aristidou A A, Nielsen J; Metabolic engineering: principles and methodologies. , Academic Press, 1998
Torres N V, Voit E O; Pathway analysis and optimization in metabolic engineering, Cambridge University Press, 2002

Complementary Bibliography

S. Cortassa, M.A. Aon, A. A. Iglesias,... [et al.]; An introduction to metabolic and cellular engineering. ISBN: 978-981-4365-72-7

Comments from the literature

n.a.

Teaching methods and learning activities

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.

 

Software

Microsoft Windows Server Standard
Matlab
Adobe

Evaluation Type

Distributed evaluation with final exam

Assessment Components

Designation	Weight (%)
Exame	60,00
Trabalho prático ou de projeto	40,00
Total:	100,00

Amount of time allocated to each course unit

Designation	Time (hours)
Estudo autónomo	80,00
Frequência das aulas	70,00
Trabalho de investigação	12,00
Total:	162,00

Eligibility for exams

n.a.

Calculation formula of final grade

The final grade will be calculated according to the following components:
Final exam (60% in the final classification);
Oral presentation of one emerging theme in metabolic and cellular engineering and respective report (40% in the final classification). 


Recurso exam.

To obtain positive rating, the student must obtain a minimum overall rating of 9.5. The grade of the final exam must be >8.

Examinations or Special Assignments

n.a.

Internship work/project

n.a.

Special assessment (TE, DA, ...)

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.

Classification improvement

Recurso exam.

Observations

n.a.