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DeepGOWeb: fast and accurate protein function prediction on the (Semantic) Web.

Maxat KulmanovFernando Zhapa-CamachoRobert Hoehndorf
Published in: Nucleic acids research (2021)
Understanding the functions of proteins is crucial to understand biological processes on a molecular level. Many more protein sequences are available than can be investigated experimentally. DeepGOPlus is a protein function prediction method based on deep learning and sequence similarity. DeepGOWeb makes the prediction model available through a website, an API, and through the SPARQL query language for interoperability with databases that rely on Semantic Web technologies. DeepGOWeb provides accurate and fast predictions and ensures that predicted functions are consistent with the Gene Ontology; it can provide predictions for any protein and any function in Gene Ontology. DeepGOWeb is freely available at https://deepgo.cbrc.kaust.edu.sa/.
Keyphrases
  • deep learning
  • protein protein
  • amino acid
  • high resolution
  • gene expression
  • transcription factor
  • big data
  • convolutional neural network