We took a look at the competition context and developed a first model for this 5th edition of the CAFA competition named proteiNet. Following this, we implemented various additions to build its big brother: ProteiNet v2! This new version actually aims to train not one, not two, but 3 models, all three specialized in predicting a aspect group of GO
protein graph representation
python package to encode protein using different methods for machine learning
Protein language models using attention models
Automated protein function prediction is critical for the annotation of uncharacterized protein sequences, where accurate prediction methods are still required.we expect to create an accurate prediction model that assigns the best sub-graph of the gene ontology to each new protein and output a prediction score for this sub-graph and/or each pred…
python package to train CNN and DenseNet for protein function prediction
Work related to the Kaggle Competition "CAFA 6 Protein Function Prediction"
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