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

Maxat Kulmanov, Fernando Zhapa-Camacho, Robert Hoehndorf

Research output: Contribution to journalArticlepeer-review

Abstract

Abstract 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/.
Original languageEnglish (US)
JournalNucleic Acids Research
DOIs
StatePublished - May 21 2021

ASJC Scopus subject areas

  • Genetics

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