Course manual 2016/2017

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

  • Online tutorials

Objectives

At the end of the course the student is able to

  • characterize the structure of proteins, 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;
  • perform a molecular dynamics simulation on a protein system;
  • explain what a rare event is;
  • list methods to overcome the rare event problem;
  • describe the principles of coarse graining, replica exchange molecular dynamics, biased sampling, in particular metadynamics, and transition path sampling;
  • perform a metadynamics simulation and perform a transition path sampling simulation. 

Teaching methods

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

Lectures and werkcolleges/computer practicum.

Learning activities

Activity

Number of hours

Computerpracticum

14

Hoorcollege

14

Zelfstudie

140

Attendance

The programme does not have requirements concerning attendance (OER-B).


Additional requirements for this course:

Assessment

Item and weight Details

Final grade

50%

Written report

50%

Discussion

Examination consists of a written report, based on a molecular simulation study of a biomolecule performed during the course, and an oral discussion of the report. 

Inspection of assessed work

The date, time and location of the inspection moment are in the DataNose timetable.

The students will receive an appointment to discuss their report. This discussion will be evaluated and count for 50% of the final grade. 

Assignments

Final report

  • The students will do a project during the course, on which they have to write a report. 

Onderstaande opdrachten komen aan bod in deze cursus:

  •    Naam opdracht 1 : beschrijving 2
  •    Naam opdracht 2 : beschrijving 1
  •    ....

Fraud and plagiarism

Dit vak hanteert de algemene ‘Fraude- en plagiaatregeling’ van de UvA. Onder plagiaat of fraude wordt verstaan het overschrijven van het werk van een medestudent dan wel het kopiëren van wetenschappelijke bronnen (uit bijvoorbeeld boeken en tijdschriften en van het Internet) zonder daarbij de bron te vermelden. Uiteraard is plagiaat verboden. Hier wordt nauwkeurig op gecontroleerd en streng tegen opgetreden. Bij verdenking van plagiaat wordt de examencommissie van de opleiding ingeschakeld. Wanneer de examencommissie overtuigd is dat er plagiaat gepleegd is dan kan dit maximaal leiden tot een uitsluiting van al het onderwijs van de opleiding voor een heel kalenderjaar. Zie voor meer informatie over het fraude- en plagiaatreglement van de Universiteit van Amsterdam.www.uva.nl/plagiaat

Course structure

Weeknummer Onderwerpen Studiestof
1  Structure of biomolecules  
2  Molecular Dynamics  
3  QM/MM  
4  Biased sampling  
5  Enhanced sampling  
6  Transition path sampling  
7  Coarse graining  
8 Finish project  

Timetable

Additional information

Recommended prior knowledge: thermodynamics, statistical mechanics, biochemistry.

Contact information

Coordinator

  • dr. Jocelyne Vreede

Contact the course coordinator for questions.