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Nele Quast

@nele-q.bsky.social
26 followers 43 following 9 posts

Deep learning for Biologics @ Oxford Protein Informatics Group

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Reposted by Nele Quast
Odysseas Vavourakis @odyv.bsky.social · 15/06/2026
Today, we're announcing SAbDab2! In brief: - clean, pre-processed antibody structure data for ML with standardised train/test splits - massive improvements in structure organisation and annotation consistency - support for VNARs and antibody construct annotation - more structures than ever before
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Nele Quast @nele-q.bsky.social · 17/12/2025
I'm really pleased that our collaboration with Shira Sagie, Tomer Babu and Yardena Samuels has been published in Cell Reports Medicine. This has been a really fun and productive collaboration as well as an incredible learning process. www.cell.com/cell-reports...
cell.com
Lymphodepleting chemotherapy potentiates neoantigen-directed T cell therapy by enhancing antigen presentation
Sagie et al. identify a KRAS.G12V-specific TCR and show that lymphodepleting chemotherapy enhances antigen presentation via immunoproteasome activation and HLA-I upregulation. Together, these changes ...
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Nele Quast @nele-q.bsky.social · 31/10/2025
STCRpy, an easy-to-use python package for T-cell receptor structures has just been published in Bioinformatics! Big thanks to @mraybould.bsky.social and Charlotte Deane for their support, and to @opig.stats.ox.ac.uk for being an amazing collaborative group! Paper: doi.org/10.1093/bioi...
doi.org
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
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Nele Quast @nele-q.bsky.social · 29/10/2025
We won the Boltz Hackathon Challenge improving computational efficiency! Big thanks to Boltz team and @merckgroup.bsky.social for the event and very proud of our prototype Boltz Flow Matching model. Huge thanks to Niklas Abraham and Aaron Schöne for being excellent collaborators! ms.spr.ly/6043tBeAL
merckgroup.com
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Nele Quast @nele-q.bsky.social · 01/05/2025
Do you wish working with T-cell receptor structures was easier? Us too! STCRpy, our software suite for T cell receptor structure parsing, interaction profiling and machine learning dataset preparation is now available! Github: github.com/npqst/stcrpy/ Pre-print: www.biorxiv.org/content/10.1... 1/3
github.com
GitHub - npqst/STCRpy
Contribute to npqst/STCRpy development by creating an account on GitHub.
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Reposted by Nele Quast
Oxford Protein Informatics Group (OPIG) @opig.stats.ox.ac.uk · 20/01/2025
Applications are now open for UNIQ+ @ox.ac.uk (deadline Wed 19 February 2025)! We're delighted to be offering a project on Nanobody Language Modelling. Learn about deep learning and language modelling and gain experience applying these methods to nanobody sequences www.ox.ac.uk/admissions/g...
ox.ac.uk
UNIQ+ | University of Oxford
UNIQ+ Research Internships are aimed at talented undergraduates from under-represented groups, who would find continuing into postgraduate study a challenge for reasons other than their academic
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Reposted by Nele Quast
Oxford Protein Informatics Group (OPIG) @opig.stats.ox.ac.uk · 15/01/2025
OPIG is now on Bluesky! Follow us for updates about the group's latest work, web app updates, and more. opig.stats.ox.ac.uk
opig.stats.ox.ac.uk
OPIG
Oxford Protein Informatics Group
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