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ES Journal of Microbiology

ISSN: 2768-0584

How the artificial intelligence tool iPGK-PseAAC is working in predicting lysine phosphoglycerylation sites in proteins

  • Short Communication

  • Kuo-Chen Chou*
  • Gordon Life Science Institute, Massachusetts, USA
  • *Corresponding author: Kuo-Chen Chou, Gordon Life Science Institute, Boston, Massachusetts 02478, United States of America
  • Received: Mar 06, 2020; Accepted: Mar 18, 2020; Published: Mar 20, 2020

In 2017 a very powerful AI (artificial intelligence) tool has been established for predicting lysine phosphoglycerylation sites in proteins, one of the most important post modifications in proteins [1].

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Citation: Chou K-C. How the artificial intelligence tool iPGK-PseAAC is working in predicting lysine phosphoglycerylation sites in proteins. ES J Microbiol. 2020; 1(1): 1003.