Nele Quast
nele-q.bsky.social
Nele Quast
@nele-q.bsky.social
Deep learning for Biologics @ Oxford Protein Informatics Group
As always, a huge thanks go to @mraybould.bsky.social and Charlotte Deane, as well as the the rest of @opig.stats.ox.ac.uk for the support and platform to do impactful research.
December 17, 2025 at 11:49 AM
The protocol we used to develop and evaluate our structural hypothesis is described in detail in the methods, and we published the computational tool used to analyse and score TCR-antigen complexes in Bioinformatics earlier this year.
doi.org/10.1093/bioi...
STCRpy: a software suite for T-cell receptor structure parsing, interaction profiling, and machine learning dataset preparation
AbstractSummary. Computational methods to guide early-stage TCR drug discovery and TCR repertoire informatics currently under-utilize solved and predicted
doi.org
December 17, 2025 at 11:49 AM
This was a test whether the ML methods we develop can be used to explain molecular interactions when we have the experimental data. We used a hybrid deep-learning and physics-simulation approach to identify a structural hypothesis for the specific binding of the KRAS G12V antigen by the TCR.
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December 17, 2025 at 11:49 AM
We are looking forward to community contributions as more TCR structure research is conducted. We have also written some developer guidelines; if you have any questions just reach out!
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May 1, 2025 at 1:26 PM
Big thanks to my supervisors Charlotte Deane and @mraybould.bsky.social for their supervision creating STCRpy. And all @opig.stats.ox.ac.uk for being such a fab group to be part of!
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May 1, 2025 at 1:26 PM