KE824: Biomolecular Simulations
The Study Board for Science
Teaching language: English
EKA: N540034102
Assessment: Second examiner: Internal
Grading: 7-point grading scale
Offered in: Odense
Offered in: Spring
Level: Master's level course approved as PhD course
STADS ID (UVA): N540034101
ECTS value: 5
Date of Approval: 20-10-2025
Duration: 1 semester
Version: Approved - active
Comment
Entry requirements
Academic preconditions
Students taking the course are expected to:
- Have knowledge of basic physics chemistry and mathematics
- Be able to use computers
The course builds on the knowledge acquired in courses like molecular modelling, and gives an academic basis for studying the topics modelling, nanotechnology, biochemistry, medicinal chemistry that are part of the degree.
Course introduction
The aim of the course is to enable the student to understand and implement the particle-based molecular simulations of complex biological systems such as proteins, membranes and nucleotides, and interactions between them. In addition, the course aims to inculcate a quantitative understanding of biomolecular interactions, as well as to encourage and emphasize the importance of interdisciplinary research, which is important in regard to understanding molecular interactions in biological systems.
Expected learning outcome
The learning objective of the course is that the student demonstrates the ability to:
- identify the need of implementing a molecular simulation to address a biological problem
- to explain a limited set of fundamentals of statistical mechanics (phase space, sampling, ergodic hypothesis, probability density)
- to setup, implement and analyze a molecular dynamics simulation containing various types of (bio)molecules interacting with each other, and compare the output to experimental data
- is able to use supercomputers to run simulations
Content
The following main topics are contained in the course:
- short introduction to statistical mechanics
- molecular dynamics simulation
- analysis of molecular dynamics simulations
- tutorials on the following topics: simulations of a (1) Lennard jones fluid (2) ethanol (3) protein in water (4) lipid membranes (5) coarse grained simulations and (6) specific topics of interest to students
- introduction to disspative particle dynamics, monte-carlo simulations
Literature
Andrew Leach: Molecular Modelling: Principles and Applica-tions.
See itslearning for syllabus lists and additional literature references.
See itslearning for syllabus lists and additional literature references.
Examination regulations
Exam element a)
Timing
Spring
Tests
Portfolio
EKA
N540034102
Assessment
Second examiner: Internal
Grading
7-point grading scale
Identification
Full name and SDU username
Language
Normally, the same as teaching language
Examination aids
All aids allowed
ECTS value
5
Additional information
Portfolio: A combination of a project report and an MCQ-test will constitute to the mark with 50% and 50% respectively.
The re-exam will consist of the report and a oral exam.
Indicative number of lessons
Teaching Method
Planned lessons:
Most importantly, the students are expected to continually work on the home assignments.
Total number of planned lessons: 50
Hereof:
Common lessons in classroom/auditorium: 20
Team lessons in classroom: 30
The teaching will be ~ 20% lecture based, and the rest lab exercise based, because the objective of the course is to make the students familiar with running simulations. The lectures will provide a fundamental basis of running the simulations.
Other planned teaching activities:
The students are expected to become familiar with the fundamentals of both statistical mechanics and molecular dynamics, specific reading will be provided in class. Also, the students will be responsible for becoming familiar with visualization software (VMD) on their own. Tutorials will be provided for these. Most importantly, the students are expected to continually work on the home assignments.
Teacher responsible
Timetable
Administrative Unit
Team at Registration
Offered in
Recommended course of study
| Profile | Education | Semester | Offer period |
|---|---|---|---|
| Teknologisk profil - optag 1. februar 2026 | Master of Science (MSc) in Pharmacy | Odense | 1 | F26 |
| Teknologisk profil med 30 ECTS speciale - optag 1. september 2025 | Master of Science (MSc) in Pharmacy | Odense | 2 | F26 |
Transition rules
Transitional arrangements describe how a course replaces another course when changes are made to the course of study.
If a transitional arrangement has been made for a course, it will be stated in the list.
See transitional arrangements for all courses at the Faculty of Science.