Fabian Spoendlin
fspoendlin.bsky.social
Fabian Spoendlin
@fspoendlin.bsky.social
ML for antibody drug discovery | PhD Student at University of Oxford | Royal Commission 1851 Industrial Fellow
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.
October 16, 2025 at 3:45 PM
Reposted by Fabian Spoendlin
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
April 22, 2025 at 8:31 AM
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.
March 20, 2025 at 6:50 PM