DeepGO: predicting protein functions from sequence and interactions using a deep ontology-aware classifier

  title={DeepGO: predicting protein functions from sequence and interactions using a deep ontology-aware classifier},
  author={Maxat Kulmanov and Mohammed Asif Khan and R. Hoehndorf},
  pages={660 - 668}
Motivation A large number of protein sequences are becoming available through the application of novel high-throughput sequencing technologies. [] Key Method The functions of proteins are classified using the Gene Ontology (GO), which contains over 40 000 classes. Additionally, proteins have multiple functions, making function prediction a large-scale, multi-class, multi-label problem. Results We have developed a novel method to predict protein function from sequence. We use deep learning to learn features…

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