Article

CPGL: Prediction of compound-protein interaction by integrating graph attention network with long short-term memory neural network

2022-04-19

Abstract excerpt

Recent advancements of artificial intelligence based on deep learning algorithms have made it possible to computationally predict compound-protein interaction (CPI) without conducting laboratory experiments. In this manuscript, we integrated a graph attention network (GAT) for compounds and a long short-term memory neural network (LSTM) for proteins, used end-to-end representation learning for both compounds and p...

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Literature Corpus work: 3f4285df-d768-5978-bcc5-d5d371ebfbee
DOI: 10.1101/2022.04.19.488691

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