Note: This course currently has no available spaces, as we're using this page to get audience interest in the course. Please register on the waiting list or register your interest to be notified when spaces become available or when new sessions are added. Your registration ensures you'll be the first to know.

Determining the 3 dimensional (3D) structure of a protein from its amino sequence is vital for understanding its core biological functions. This can be done using experimental approaches, which are the standard for validating high-resolution and accurate structures. However, these methods can be costly, time-consuming and technically difficult to achieve for certain proteins. To complement these approaches, computational methods can be used, which increase the speed of prediction, can be scaled to higher throughput and are much cheaper to run.

This course covers how to computationally predict the 3D structure of proteins from their amino acid sequences. We will focus on AlphaFold, a software that has revolutionised this process due to its outstanding (near-experimental) prediction accuracy. Other key aspects will be covered such as retrieving structural information from public databases, evaluating the quality of the predicted models, model visualisation with PyMOL, multimer predictions, prediction of ligand binding sites and docking. After this course you should be able to produce 3D predictions of your proteins, while critically evaluating the output of the methods covered in the course.

If you do not have a University of Cambridge Raven account please book or register your interest here.

Additional information

• ♿ The training room is located on the first floor and there is currently no wheelchair or level access.
• Our courses are only free for registered University of Cambridge students. All other participants will be charged according to our charging policy.
• Attendance will be taken on all courses and a charge is applied for non-attendance. After you have booked a place, if you are unable to attend any of the live sessions, please email the Bioinfo Team.
• Further details regarding eligibility criteria are available here.
• Guidance on visiting Cambridge and finding accommodation is available here.