Sitetack: a deep learning model that improves PTM prediction by using known PTMs.

Journal: Bioinformatics (Oxford, England)
PMID: 39388212

Abstract

MOTIVATION: Post-translational modifications (PTMs) increase the diversity of the proteome and are vital to organismal life and therapeutic strategies. Deep learning has been used to predict PTM locations. Still, limitations in datasets and their analyses compromise success.

Authors

  • Clair S Gutierrez
    Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA 02139, United States.
  • Alia A Kassim
    Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA 02139, United States.
  • Benjamin D Gutierrez
    Independent Researcher.
  • Ronald T Raines
    Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, United States; Broad Institute of MIT and Harvard, Cambridge, MA, United States. Electronic address: rtraines@mit.edu.

Keywords

External Resources

Popular Topics
Recent Journals