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List of peptide properties
DFBP ID - DFBPALAM0022(α-Amylase inhibitory peptide)
DFBP ID DFBPALAM0022
Peptide sequence PLPWGAGF
Type Native peptide
Peptide/Function name α-Amylase inhibitory peptide, Anti-diabetic peptide, PBp2
Function-activity relationship
Main bioactivity α-Amylase inhibitory activity
Otheir bioactivity ACE-inhibitory activity [D1], Multifunctional activity [D2]
Calculated physicochemical properties
Three-letter amino acid Pro-Leu-Pro-Trp-Gly-Ala-Gly-Phe
Single-letter amino acid PLPWGAGF
Peptide length 8
Peptide mass
Experimental mass Theoretical mass
N.D 843.97 Da c
Net charge 0.00 c
Isoelectric point (pI) 5.97 c
IC50 N.D
pIC50 N.D
GRAVY 0.4375 c
Hydrophilic residue ratio 100% c
Peptide calculator
To calculate the physicochemical properties of bioactive peptide.
Peptide source & Food-borne protein(s) search
Classification Plant
Organism/Source Pinto bean
Precursor protein Pinto bean protein
Residue position N.D
Precursor protein(s) search
No matching precursor protein found
Link-research
Link 1: DFBPALAM0031----Pinto beans (Phaseolus vulgaris cv. Pinto)----Pinto beans protein
Biological/Functional activity & target protein
α-Amylase inhibitory activity

The peptide PLPWGAGF showed potent α-amylase (EC 3.2.1.1) inhibitory activity with an IC50 value of 15.73 ± 0.06 μM.

Table 1. A summary of potential binding sites between biologically active Pinto bean peptide (PBp) and human salivary a-amylase using Pepsite 2 server and their p-values.
Peptide
p-valuesActive amino acids within the sequence
Bound amino acids on ACE
PBp2
0.000896Pro1, Leu2, Pro3, Trp4, Gly5, Ala6His15, Gln41, Trp58, Tyr62, Asp96, Arg195, Asp197, Glu233, Asp300, His305
Specific target protein(s) N.D
Taste properties & Structure
Bitterness
Literature report N.D
Bitter prediction tools Bitter taste prediction
SMILES N1[C@@]([H])(CCC1)C(=O)N[C@@]([H])(CC(C)C)C(=O)N1[C@@]([H])(CCC1)C(=O)N[C@@]([H])(CC(=CN2)C1=C2C=CC=C1)C(=O)NCC(=O)N[C@@]([H])(C)C(=O)NCC(=O)N[C@@]([H])(Cc1ccccc1)C(=O)O
Preparation method
Mode of preparation

Integrated bioinformatics approach

Enzyme(s)/starter culture

By using PEAKS studio, 511 peptide sequences were first shortlisted based on their de novo sequence property and average local confidence (ALC) yield of ≥ 60%.

Stability & Cytotoxicity
Peptide stability
Literature report: N.D
EHP-Tool: Enzymatic Hydrolysis Prediction Tool (EHP-Tool)
Peptide cytotoxicity
Literature report: N.D
Prediction: ToxinPred
Additional information
Additional information
  1. The three dimensional structure of human a-amylase (PDB code: 1SMD) was imported from the Protein Data Bank (http://www.rcsb.org/pdb/, accessed on 2nd December 2016).

  2. This new approach (integrated bioinformatics-assisted approach) is strongly proposed to be a highly efficient and cost-effective approach in the field of bioactive peptide discovery.

Database cross-references
DFBP
[D1] DFBPACEI2019
[D2] DFBPMUFU0601
BIOPEP-UWM [D3] -
APD [D4] -
BioPepDB [D5] -
MBPDB [D6] -
Reference(s)
Primary literature Ngoh YY, Gan CY. Identification of Pinto bean peptides with inhibitory effects on α-amylase and angiotensin converting enzyme (ACE) activities using an integrated bioinformatics-assisted approach. Food Chem. 2018 Nov 30;267:124-131.
PMID: 29934146
Other literature(s) N.D
PubDate 2018
Copyright © 2020. Record / license number: Chongqing ICP No. 2000214