Published November 17, 2018 | Version v1

Deep learning enables high-quality and high-throughput prediction of enzyme commission numbers

  • 1. Metabolic and Biomolecular Engineering National Research Laboratory, Department of Chemical and Biomolecular Engineering (BK21 Plus Program), Institute for the BioCentury, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea
  • 2. Systems Biology and Medicine Laboratory, Department of Chemical and Biomolecular Engineering (BK21 Plus Program), Institute for the BioCentury, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea

Description

EC numbers predicted for 33,942,253 sequences available in the 9,513 complete genome data from the NCBI Genome database

Files

Predicted_EC_numbers.txt

Files (363.5 MB)

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md5:a1b24eaa5a9d70676ca14c3cc7301e03
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