TCRBuilder2

Machine Learning based TCR Fv modelling

This web application is designed for small-scale structural modelling. If you would like to perform large-scale analyses, please contact: opig@stats.ox.ac.uk

• TCRBuilder2 can be used to produce models of the TCR Fv regions.
• Submit beta and alpha chain sequences to the forms below to generate a model.
• The sequence and final models will be renumbered with ANARCI
• An example of the output produced by TCRBuilder2 can be seen here.

NB: TCRBuilder2 is part of ImmuneBuilder, a set of deep-learning models for structure prediction of immune proteins, including antibodies, nanobodies, and T-cell receptors (TCRs). TCRBuilder2 will eventually replace TCRBuilder as the main modelling approach for TCRs. To receive notifications for any of these updates, follow our Twitter account.

To cite ImmuneBuilder, please refer to Abanades B, et al., ImmuneBuilder: Deep-Learning models for predicting the structures of immune proteins, bioRXiv (2022)

Beta chain sequence:

load example

Alpha chain sequence:

load example

Job name:

my_tcr_model

Model