Welcome to the OPIG homepage. Our research group is led by Charlotte Deane and is based in the Department of Statistics. Our research interests cover several areas in the field of protein structure and interaction networks, combining both theoretical work and empirical analyses.

Based in the Department of Statistics, OPIG is a dynamic, collaborative and interdisciplinary group that investigates antibodies, small molecules, and proteins. Together with a number of academic and industrial collaborators, OPIG blends experimental data and cutting-edge computational method development to gain valuable insights in these fields.

The SAbPred tools were developed by the Oxford Protein Informatics Group (OPIG). Other tools are available from our GitHub page. Our structural antibody database, which collates and consistently annotates all antibody structures found in the PDB, can be found at our SAbDab site.

Oxford Protein Informatics Group has 48 repositories available. Follow their code on GitHub.

We carry out research on many topics in protein informatics, including the following areas. Please use the thumbnails to navigate to summaries of the research by group members in each area. Understanding protein function requires the probing of both structure and dynamics.

OPIG /ooohhh pig/ acronym, also used as a noun Oxford Protein Informatics Group; research group in the Department of Statistics at the University of Oxford focusing on aspects of protein modelling, homology modelling, membrane proteins, sequence alignment, antibodies and immunoinformatics, biological networks, and drug discovery.

During his MSc dissertation project in the Department of Statistics, University of Oxford, OPIG member Ísak Valsson developed an attention-based GNN to predict protein-ligand binding affinity called “AEV-PLIG”. It featurizes a ligand’s atoms using Atomic Environment Vectors to describe the Protein-Ligand Interactions found in a 3D ...

2012年2月2日 · 王小波著作中 opig按 是什么意思？你看的是不是电子版？那个估计是某位网友打字时的自称。王小波纸质文集中无此短语。

2023年7月17日 · OPIG’s growing immunoinformatics team continues to develop and openly distribute a wide variety of databases and software packages for antibody/nanobody/T-cell receptor analysis. Below is a summary of all the latest updates (follows on from v1.0 and v2.0).

Oxford Protein Informatics Group (OPIG) Research group led by Charlotte Deane, based in the Department of Statistics at the University of Oxford. https://opig.stats.ox.ac.uk/