The invention discloses a construction method of a
lactoferrin hydrolysate oligopeptide database, an
identification system and application, and belongs to the cross technical field of
bioinformatics,
mass spectrum
data analysis and
milk protein deep processing. Aiming at the problems of low
recall rate and insufficient accuracy of the existing general
database and tool, the method comprises the following steps: firstly, inputting a bovine-derived
lactoferrin full-length sequence, simulating to generate all possible 25
peptide sequences through programmed enzymolysis, and de-weighting; calculating the theoretical b / y
ion fragment
mass of each
peptide fragment in the
mass spectrum and the mass-to-charge ratio of each
peptide fragment in different charge states; and finally constructing a special structured
database containing sequence, molecular weight,
state of charge and fragment
ion information. Based on the database, the invention further provides a
lactoferrin hydrolysate oligopeptide identification system. According to the method and the
system, the identification efficiency and the coverage degree of the lactoferrin
hydrolysate oligopeptide are remarkably improved, and reliable
technical support is provided for active peptide screening and
quality control of the lactoferrin hydrolysate oligopeptide in the fields of functional foods, medicines and the like.