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| title: README |
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| # Oxford Protein Informatics Group (OPIG) |
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| **Computational research at the interface of protein science, immunology, and drug discovery** |
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| We are a research group led by [Charlotte Deane](https://www.stats.ox.ac.uk/~deane/) in the [Department of Statistics, University of Oxford](https://www.stats.ox.ac.uk/). Our work combines machine learning, structural biology, and cheminformatics to tackle fundamental problems in protein structure, antibody engineering, and small molecule drug design. |
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| ## Research Areas |
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| **Immunoinformatics** — Antibody and T-cell receptor structure prediction, developability assessment, repertoire analysis, and antigen binding. |
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| **Protein Structure** — Structure prediction, conformational dynamics, protein folding, and language models for genomic and proteomic sequences. |
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| **Small Molecules** — Structure-based drug design, molecular docking, generative models for drug-like molecules, and binding affinity prediction. |
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| ## Key Open-Source Tools & Databases |
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| | Tool | Description | |
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| | [**SAbDab**](http://opig.stats.ox.ac.uk/webapps/newsabdab/sabdab) | Structural Antibody Database — all antibody structures from the PDB, updated weekly | |
| | [**OAS**](http://opig.stats.ox.ac.uk/webapps/oas) | Observed Antibody Space — billions of antibody sequences from immune repertoire sequencing studies | |
| | [**STCRDab**](http://opig.stats.ox.ac.uk/webapps/stcrdab) | Structural T-Cell Receptor Database | |
| | [**CoV-AbDab**](http://opig.stats.ox.ac.uk/webapps/coronavirus) | Coronavirus Antibody Database — antibodies targeting SARS-CoV-2 and related coronaviruses | |
| | [**AbLang**](https://github.com/oxpig/AbLang) | Antibody language model for sequence infilling and representation | |
| | [**ANARCI**](https://github.com/oxpig/anarci) | Antibody and TCR sequence numbering and annotation | |
| | [**ABlooper**](https://github.com/oxpig/ABlooper) | Fast, accurate CDR loop structure prediction | |
| | [**Paragraph**](https://github.com/oxpig/Paragraph) | Graph neural network-based antibody paratope prediction | |
| | [**MolSnapper**](https://github.com/oxpig/MolSnapper) | Conditioning diffusion models for structure-based drug design | |
| | [**STRIFE**](https://github.com/oxpig/STRIFE) | Fragment elaboration using pharmacophoric constraints | |
| | [**CaLM**](https://github.com/oxpig/CaLM) | Codon-aware language model for protein engineering | |
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| All of our open-source code lives at **[github.com/oxpig](https://github.com/oxpig)**. |
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| ## Get Involved |
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| - 🌐 **Website**: [opig.stats.ox.ac.uk](https://opig.stats.ox.ac.uk) |
| - 📝 **Blog**: [blopig.com/blog](https://blopig.com/blog) — tutorials, methods explainers, and research updates |
| - 🦋 **Bluesky**: [@opig.stats.ox.ac.uk](https://bsky.app/profile/opig.stats.ox.ac.uk) |
| - 🐦 **X/Twitter**: [@OPIGlets](https://x.com/OPIGlets) |
| - 💼 **LinkedIn**: [Oxford Protein Informatics Group](https://www.linkedin.com/company/oxford-protein-informatics-group-opig/) |
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| Interested in a DPhil or postdoc? See our [current research](https://opig.stats.ox.ac.uk/research) and [get in touch](https://opig.stats.ox.ac.uk/contact). |
