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BB2485 Metabolic Engineering 7.5 credits

Information per course offering

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Termin

Information for Spring 2026 Start 13 Jan 2026 programme students

Course location

AlbaNova

Duration
13 Jan 2026 - 13 Mar 2026
Periods

Spring 2026: P3 (7.5 hp)

Pace of study

50%

Application code

60831

Form of study

Normal Daytime

Language of instruction

English

Course memo
Course memo is not published
Number of places

Places are not limited

Target group
No information inserted
Planned modular schedule
[object Object]
Schedule
Schedule is not published

Contact

Examiner
No information inserted
Course coordinator
No information inserted
Teachers
No information inserted

Course syllabus as PDF

Please note: all information from the Course syllabus is available on this page in an accessible format.

Course syllabus BB2485 (Spring 2025–)
Headings with content from the Course syllabus BB2485 (Spring 2025–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

  • Metabolic pathways for production of organic acids, amino acids, alcohols, monomers, and polymers.
  • The underlying concept behind balancing the above pathways, based on elemental, redox and energy balance.
  • Metabolic control analysis.
  • Metabolic engineering strategies.
  • Metabolic flux analysis (MFA).
  • The concepts of genome-scale stoichiometric metabolic models.
  • The use of genome-scale models for designing metabolic engineering strategies.
  • The inclusion of thermodynamic constraints in genome-scale stoichiometric models.
  • State-of-the-art genome-scale modelling, combining stoichiometry, proteomics and metabolomics.

Intended learning outcomes

On completion of the course, the students should be able to:

  • Quantitatively describe metabolic pathways for production of industrially relevant fuels and chemicals discussed in the course
  • Characterize the above pathways based on elemental, redox, and energy balances, discuss their engineering requirements, and propose relevant metabolic engineering strategies
  • Construct and solve mathematical representations of metabolic networks, based on provided external measurements
  • Implement genome-scale metabolic modelling for design and evaluation of metabolic engineering strategies

Literature and preparations

Specific prerequisites

Completed degree project 15 credits, 15 credits mathematics, 5 credits numerical methods or data/computer sciences, 30 credits chemistry possibly including courses in Chemical Measuring Techniques and 20 credits of Biotechnology or  Molecular Biology. English 6/B.

Literature

You can find information about course literature either in the course memo for the course offering or in the course room in Canvas.

Examination and completion

Grading scale

A, B, C, D, E, FX, F

Examination

  • PRO1 - Assignment in metabolic modelling, 2.5 credits, grading scale: P, F
  • TEN1 - Written exam, 5.0 credits, grading scale: A, B, C, D, E, FX, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

If the course is discontinued, students may request to be examined during the following two academic years.

Examiner

Ethical approach

  • All members of a group are responsible for the group's work.
  • In any assessment, every student shall honestly disclose any help received and sources used.
  • In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.

Further information

Course room in Canvas

Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.

Offered by

Main field of study

Biotechnology

Education cycle

Second cycle