Course manual 2021/2022

Course content

Molecular dynamics is a powerful tool to investigate the structure and dynamics of biologically relevant molecules such as proteins, DNA and lipids in atomistic detail. The insight from MD simulation yields quantitative predictions and a 'molecular movie' of important processes that helps experimentalists interpret their results. Such simulations can also be used to predict effects of e.g. point mutations. This course provides an introduction to biomolecular simulation using molecular dynamics, and enhanced sampling methodology to study biomolecular processes.

This course consists of lectures which will cover the following topics: 1) the basics of molecular dynamics, 2) the structural analysis of biomolecules, e.g. through NMR and crystallography, 3) multiscale modeling of biomolecular systems 4) the problem of rare events in conformational changes.

In addition to the lectures there will be a practical tutorial consisting of theoretical exercises as well as computer problems. The course ends with doing a small project including a real simulation on a biomolecular system.

Study materials

Syllabus

Software

Other

  • Tutorials on canvas

Objectives

  • characterize the structure of proteins and nucleic acids and assess the quality of structures contained within the Protein DataBank;
  • describe the relevant aspects of statistical mechanics, thermodynamics and transition state theory;
  • describe the basic principles of molecular dynamics;
  • list the relevant interactions that are required to model a biomolecular system
  • perform a molecular dynamics simulation on a protein system;
  • explain what a rare event is;
  • list methods to overcome the rare event problem;
  • perform a metadynamics simulation and perform a transition path sampling simulation. 
  • describe interactions between particles and how these interactions are used in a computer model.
  • understand the concepts behind multi-scale modelling

Teaching methods

  • Lecture
  • Computer lab session/practical training
  • Working independently on e.g. a project or thesis

Lectures that explain relevant concepts, theory and applications

Computer practicals that provide the students with hands-on experience in performing molecular simulations on biomolecules. 

During the project, the students will work on a biomolecular system independently, applying the knowledge from the lectures and computer practicals. 

Learning activities

Activity

Number of hours

Computerpracticum

14

Hoorcollege

14

Zelfstudie

140

Attendance

This programme does not have requirements concerning attendance (TER part B).

Assessment

Item and weight Details

Final grade

Examination consists of 5 assignments on canvas and the written report of a project the students will work on during the course. For the grade: 50% is based on the average grade for the assignments and 50% is based on the written report of the project. 

Inspection of assessed work

Contact the course coordinator to make an appointment for inspection.

The assignments will be discussed during laptop lectures following the deadline of handing in the assignment. To discuss the project report grade, make an appointment with the coordinator. 

Assignments

Assignments

  • During the course the students will do tutorials to learn to use the various software packages and approaches. Each tutorial comes with an assignment that has to be handed in individually via canvas before the specified deadline. The assignment will be graded and will be discussed during the next laptop lecture. 

Project report

  • The students work individually on a project during the course. They have to write a report for that project, which will be graded. 

Fraud and plagiarism

The 'Regulations governing fraud and plagiarism for UvA students' applies to this course. This will be monitored carefully. Upon suspicion of fraud or plagiarism the Examinations Board of the programme will be informed. For the 'Regulations governing fraud and plagiarism for UvA students' see: www.student.uva.nl

Course structure

Weeknummer Topics
1  Structure of biomolecules
2 Force fields
3 Molecular dynamics
4  Sampling
5 Biased sampling
6  Transition path sampling
7  Coarse graining

The topics are also given on the schedule on datanose. 

Timetable

The schedule for this course is published on DataNose.

Additional information

Recommended prior knowledge: thermodynamics, statistical mechanics, biochemistry.

Contact information

Coordinator

  • dr. Jocelyne Vreede

Contact the course coordinator for questions.