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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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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GitHub - npqst/STCRpy
Contribute to npqst/STCRpy development by creating an account on GitHub.
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...
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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
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...
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OPIG
Oxford Protein Informatics Group
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
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MIT EECS PhD student in solab.org Building ML methods to understand and engineer biology
Staff Scientist, The Scripps Research Institute, passionate about protein dynamics, protein design, structural biology of glycoproteins and antibodies, enthusiastic about music and 🐰
PGY1 @StanfordPath Physician Scientist Incubator Track | Postdoc
@mischellab | visiting scientist @SwantonLab | @UCL_MBPhD alum | @ForbeckForums scholar
DPhil Student at the University of Oxford, interested in computational biology, bioengineering, and machine learning
🧪 Research Scientist @nvidia and PhD student @Oxford staring at proteins all-day
🧑💻 Website/Blog: https://kdidi.netlify.app/
🤖 GitHub: https://github.com/kierandidi
📚 Prev. Cambridge/Heidelberg
personalized cancer immunotherapy = genomics + immunology + machine learning + oncology
(pirl.unc.edu)
Schmidt Science Fellow | Postdoc @ Stanford | Prev. DPhil @ Oxford || ML for Biomolecular Modeling & Design
ML for antibody drug discovery | PhD Student at University of Oxford | Royal Commission 1851 Industrial Fellow
Physicochemical deep learning, protein-ligand docking and scoring, computer-aided drug discovery and design, cheminformatics. All views my own. @morrislab@fediscience.org 🏳️🌈🇪🇺
PhD candidate studying cancer evolution @icr.ac.uk | MBiochem grad @ox.ac.uk | she/her
source: https://arxiv.org/rss/stat.ML
maintainer: @tmaehara.bsky.social
Nature Portfolio’s high-quality products and services across the life, physical, chemical and applied sciences is dedicated to serving the scientific community.
An open-access @natureportfolio.bsky.social journal publishing high quality primary research, reviews and commentary in all areas of the biological sciences since 2018.
https://www.nature.com/commsbio/
Florence Nightingale Bicentenary Fellow, Oxford Statistics | Former Postdoc UCLA, DPhil (PhD) Oxford
https://fimrie.github.io/
Research group led by Charlotte Deane, based in the Department of Statistics at the University of Oxford.
https://opig.stats.ox.ac.uk/
Protein structure evolution | Royal Society Newton International Fellow at UCL | she/her
