The invention relates to the technical field of
bioinformatics and
functional food development, and discloses a
plant-source alpha-
amylase inhibitory peptide high-
throughput screening method and application thereof.The method comprises the steps that firstly, white
kidney beans are selected and subjected to wall breaking and
degreasing treatment, and efficient extraction is conducted; a three-stage gradient process is adopted for enzymolysis, and a series
ultrafiltration membrane
system is adopted for refining
white kidney bean protein; separating
white kidney bean protein, performing high-precision
mass spectrum identification, screening
peptide fragments, and constructing a candidate
database; constructing
a peptide-
amylase molecular interaction screening network; collecting alpha-
amylase inhibitory peptide data to carry out data enhancement, training a PAMIS-Net model, and carrying out model performance optimization; inputting the optimized PAMIS-Net model into the
database in batches to intelligently screen high-activity candidate
peptide fragments, and establishing a comprehensive scoring model for experimental
verification; according to the method, the problems of low screening efficiency and poor prediction precision of the active
peptide caused by difficulty in integration of multi-dimensional information such as sequences, structures and physicochemical properties in the prior art are solved.