EnzymePredictor statistics

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EnzymePredictor specifications


Unique identifier OMICS_27047
Name EnzymePredictor
Interface Web user interface
Restrictions to use None
Input data A hydrolysate file.
Input format TSV
Computer skills Basic
Stability Stable
Maintained Yes


  • person_outline Nora Khaldi
  • person_outline Vaishnavi Vijayakumar

Additional information


Publication for EnzymePredictor

EnzymePredictor citations


Peptides Released from Foremilk and Hindmilk Proteins by Breast Milk Proteases Are Highly Similar

PMCID: 5673630
PMID: 29164128
DOI: 10.3389/fnut.2017.00054

[…] complex than their P1 and P1′ preferences. Two tools predict which proteases are most likely responsible for peptide cleavages based on a more complex cleavage specificity pattern. Based on data from EnzymePredictor analysis, plasmin was involved in the most cleavages by count in both foremilk and hindmilk (Table ). There were no significant differences in the odds ratios (i.e., the likelihood of […]


Following the Digestion of Milk Proteins from Mother to Baby

J Proteome Res
PMCID: 4261950
PMID: 25385259
DOI: 10.1021/pr5006907

[…] tions of these enzymes. The specificity of human cathepsin B and G against a diverse range of proteins has not been sufficiently characterized to date, therefore they are not featured in this current EnzymePredictor analysis.Here, like in our previous work, we identify pepsin-like activity in human milk. While the amino acid cleavage sites of pepsin overlap with some of chymotrypsin, we find consi […]


Predicting the Important Enzymes in Human Breast Milk Digestion

PMCID: 4264622
PMID: 24620897
DOI: 10.1021/jf405601e
call_split See protocol

[…] The web-based software EnzymePredictor was employed to evaluate and predict which enzymes most likely contributed to cleavage of human breast milk proteins (http://bioware.ucd.ie/∼enzpred/Enzpred.php). Enzymes were classifi […]


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EnzymePredictor institution(s)
UCD Conway Institute of Bio molecular and Biomedical Research, School of Medicine and Medical Sciences, and UCD Complex and Adaptive Systems Laboratory, University College Dublin, Dublin, Ireland; Department of Food Science and Technology, University of California, Davis, CA, USA; Department of Chemistry, University of California-Davis, Davis, CA, USA; Structural and Computational Biology Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany
EnzymePredictor funding source(s)
Supported by an Enterprise Ireland grant to Food Health Ireland and the Irish Research Council for Science, Engineering and Technology, cofunded by Marie Curie Actions under FP7, and SFI grant 08/IN.1/B1864.

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