Check out our new paper in Nature Machine Intelligence on predicting the structural flexibility of antibody and TCR CDR loops. Although methods like AlphaFold have transformed static structure prediction, capturing conformational dynamics remains a challenge.

We have released the successor to ANARCI - ANARCII - a suite of Seq2Seq language models trained to number antibody (or TCR) sequences! Read the paper: biorxiv.org/content/10.1... Play with the webtool: opig.stats.ox.ac.uk/webapps/sabd... Documentation and codebase: github.com/oxpig/ANARCII

GitHub - oxpig/ANARCII: A language model suite for numbering antigen receptor sequences.

A language model suite for numbering antigen receptor sequences. - oxpig/ANARCII

github.com

Predicting protein conformational flexibility remains a major challenge in structural biology. While we can now accurately model static protein structures, understanding their dynamics is still difficult, largely due to a lack of suitable training data.