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Advanced topics for biomolecular simulation - 2026 CCP5 Summer School

This repository contains the materials for day 1 and 3 of the Simulation of Biomolecules Advanced course, part of the CCP5 Summer School taking place on 28th-30th July 2026 at Newcastle University. The materials are taken from the CCPBioSim course BioSim-analysis-workshop. Day 2 materials will be provided separately.

Instructors

Contributors

The content in this workshop was created by:

Schedule

L1-8: Lectures. P: practical.

28 July Session Materials
09:00-10:00 L1: Introduction to Proteins (DC) Lecture Slides
10:00-11:00 L2: Understanding Protein Systems (JG) Lecture Slides
11:00-11:30 Coffee
11:30-12:00 P: Understanding Complex Protein Systems, contd. (JG) Webserver
12:00-12:30 L3 Simulation Setup (FC) Lecture Slides
12:30-14:00 Lunch 🍝
14:00-15:00 P: Simulation Setup continued (FC) Simulation
15:00-15:30 L5 Simulation Basic Analyses (JG) Lecture Slides
15:30-16:00 Coffee
16:00-17:00 L5 & P: Simulation Basic Analyses (JG) Lecture Slides, Analysis_0
30 July Session Materials
09:00-11:00 L4 & P: Protein-Ligand Docking (DC) Lecture Slides, Docking
11:00-11:30 Coffee
11:30-12:30 L4 & P: Protein-Ligand Docking, contd. (DC)

Extra materials

These are additional materials on machine learning methods used in biomolecular simulations that you can go through in your own time:

Session Materials
L6: Dimensionality Reduction, P: Dimensionality Reduction Lecture Slides, Analysis_1, Analysis_2
L7 & P: Clustering Lecture Slides, Analysis_3
L8: Data Classification, P: Data Classification Lecture Slides, Analysis_4

Running the Workshop

Google Colab

The workshop is designed to run on Google Colab, and all workshop notebooks run directly from your browser; no installation is required. In particular, please note that the Open Force Field material in the Jupyter notebook of session 4_Simulation_Setup will not natively run on Windows machines. For extra information, see here](https://docs.openforcefield.org/en/latest/install.html#openff-on-windows).

Setting up your own Python environment

Instructions for setting up your environment to run this workshop locally are provided in INSTALL.md. A full list of the required Python packages can be seen inside environment.yml.

To avoid waiting for everyone's setup to be up and running, we highly recommend trying this workshop on Colab and only once you are back at home and want to explore further to try and run it on your local machine.

Course pre-requisites

The course assumes that attendees have a working knowledge of Jupyter notebooks, Python (especially the NumPy library), and the bash shell.

Licenses

  • The MDAnalysis logo and its derivatives are licensed under the Creative Commons Attribution-NoDerivs 3.0 Unported License.
  • The MDAnalysis material in folder 5_* is licenced under CC-BY 4.0 Creative Commons Licence
  • The Docking material in folder 3_* is licensed under and Apache-2.0 and MIT license.
  • The Open Force Field material in folder 4_* is licensed under MIT license.
  • Material in folders 1_*, 2_*, 6_*, 7_* 8_*, and 9_* is licenced under CC-BY-SA 4.0. Creative Commons Licence

Acknowledgements

Please see AUTHORS.md for a list of contributors to the workshop materials.

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