2026 Amber Workshop Activities
Welcome to the 2026 Amber Workshop Activities!
This workshop is taking place in Donostia, Basque Country, Spain from July 13th to July 17th, 2026.
For details and registration, see the workshop web page: 2026 Amber Workshop.
For the workshop, we have prepared a series of hands-on tutorials that will guide you through various aspects of using Amber for molecular simulations. These tutorials are designed to be interactive and will provide you with practical experience in setting up and running simulations, analyzing results, and understanding the underlying principles of molecular dynamics.
Some important information:
Connect to the DIPC cluster using SSH. You will have received an email with your username and password. If you have not received this email, please contact the workshop organizers. Login as ssh <username>@hyperion.sw.ehu.es. You will be prompted for your password. If you have any issues with logging in, please contact the workshop organizers.
The tutorials are designed to be run on the DIPC cluster. You will need to have access to the cluster and be able to log in using SSH. If you have any issues with accessing the cluster, please contact the workshop organizers.
A few tutorials will include local jupyter notebooks that you can run on your own machine. The software VSCODE with the jupyter extension is recommended for running these notebooks. You can also use the jupyter notebook interface in your browser.
The tutorials are organized by day and topic. Each tutorial will have a set of instructions and exercises that you can follow along with. You will also have the opportunity to ask questions and get help from the workshop instructors.
Day 1: Introduction to molecular simulations, visualization, and Amber
Open PDF for Lecture 1
Open PDF for Lecture 2
Day 2: Enzyme mechanisms: fine-tuned parameters, QM/MM, and free energy surfaces
Open PDF for Lecture 3
Open PDF for Lecture 4
Open PDF for Lecture 5
Day 3: Drug-like molecules: Generalized, bespoke and universal force fields
Open PDF for Lecture 6
Open PDF for Lecture 7
Open PDF for Lecture 8
Day 4: Drug discovery: Modern alchemical free energy (AFE) methods
Open PDF for Lecture 9
Open PDF for Lecture 10
Day 5: Machine learning models: Training accurate, robust, and efficient models for free energy predictions
Open PDF for Lecture 11
Open PDF for Lecture 12
Open PDF for Lecture 13
Reference Materials