Accurate Prediction of Virus-Host Protein-Protein Interactions via a Siamese Neural Network Using Deep Protein Sequence Embeddings
Sumit Madan, Victoria Demina, Marcus Stapf, Oliver Ernst, Holger Fröhlich
This paper introduces a deep learning method called STEP to predict virus-host protein-protein interactions using protein sequence embeddings and a Siamese neural network, demonstrating its effectiveness on SARS-CoV-2 and JCV proteins.
Patterns · Jul 31, 2022Peer-reviewedBioinformatics