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Oxford Protein Informatics Group's Projects

ablang icon ablang

AbLang: A language model for antibodies

ablang2 icon ablang2

An antibody-specific language model focusing on NGL prediction

ablooper icon ablooper

Tool for modelling the CDRs of antibodies

anarci icon anarci

Antibody Numbering and Antigen Receptor ClassIfication

antifold icon antifold

Improved antibody structure-based design using inverse folding

calm icon calm

Protein language model trained on coding DNA

cesped icon cesped

Cryo-EM Supervised Pose Estimation Dataset utilities

cogent icon cogent

COnsistency of Gene Expression NeTworks

coprinet icon coprinet

Deep learning for compound price prediction

dlab-public icon dlab-public

Code for the paper "DLAB - Deep learning methods for structure-basedvirtual screening of antibodies"

fragmenstein icon fragmenstein

Merging, linking and placing compounds by stitching bound compounds together like a reanimated corpse

fragment-ranking icon fragment-ranking

A method for ranking fragments by how much novel information they give about protein targets in fragment screens. When using the results of fragment screens on many diverse targets, this method has been shown to select a set of functionally diverse fragments that can get information more efficiently from new targets.

graphinity icon graphinity

Graphinity: Equivariant Graph Neural Network Architecture for Predicting Change in Antibody-Antigen Binding Affinity

hummus icon hummus

Code associated with generating figures from Richardson & Binter et al, 2022.

kasearch icon kasearch

KA-Search: Rapid and exhaustive sequence identity search of known antibodies

oas-canonicalforms icon oas-canonicalforms

Code to perform clustering of antibody CDRs from predicted structures of sequences from the Observed Antibody Space.

paragraph icon paragraph

Antibody paratope prediction using Graph Neural Networks with minimal feature vectors

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