Literature DB >> 32071961

Data on bioactive peptides derived from chicken hydrolysate with potential alcohol dehydrogenase stabilizing activity and in silico analysis of their potential activity and applicability.

Chuqiao Xiao1,2,3, Mouming Zhao1,2, Feibai Zhou1,2, Marta Gallego3, Fidel Toldrá3, Leticia Mora3.   

Abstract

Bioactive peptides have attracted extensive attention worldwide as natural alternatives to promote human health and wellness. Previous studies have shown that chicken hydrolysates could enhance alcohol dehydrogenase, and subsequently they facilitate alcohol metabolism and ameliorate alcohol-induced liver injury. The data presented in this article support the accompanying research article "Isolation and identification of alcohol dehydrogenase stabilizing peptides from Alcalase digested chicken breast hydrolysates". Present article details all 82 peptides identified from the most active fractions of chicken hydrolysates, and 154 peptides from in silico digestion of the 82 identified peptides, together with the prediction of their potential bioactivity and applicability using several in silico assays.
© 2020 The Authors.

Entities:  

Keywords:  Alcohol dehydrogenase stabilizing; Bioactive peptides; Chicken breast; In silico analysis; LC-MS/MS

Year:  2020        PMID: 32071961      PMCID: PMC7016240          DOI: 10.1016/j.dib.2020.105163

Source DB:  PubMed          Journal:  Data Brief        ISSN: 2352-3409


Specifications Table The data in this article includes a series of bioactive peptides separated and identified from a chicken hydrolysate that has been reported to exert alcohol dehydrogenase stabilizing activity. The potential bioactivity and applicability have been assessed and listed in this article. This article can benefit those who are interested in the separation and identification of bioactive peptides from food protein, with potential protection against alcoholic liver injury. The data can provide some useful information about the amino acid composition of the potential bioactive peptides, which is important for the quantitative-structure activity relationship (QSAR) study of bioactive peptides. Also, some of the peptides are assessed to be neither bioactive nor physically stable, and this information could result useful in future research.

Data

The data in this article include a total 82 peptides from the most active fractions of a chicken hydrolysate after SEC and RP-HPLC separation. Raw data is showed in Table 1 of Supplementary material, including search parameters. Table 1 lists all these peptides together with the potential bioactivity and applicability, indicated by Peptide Ranker score, potential peptide allergenicity, toxicity and physicochemical properties (i.e., hydrophobicity, amphipathicity, steric hindrance, pI, and molecular weight). Also, as potential functional food ingredients, peptides must be digested and absorbed through the gastrointestinal tract to exert activity. Hence, all peptides were further subjected to in silico gastrointestinal digestion and a total of 154 peptides were generated. All the 154 peptides are listed in Table 2, as well as their potential bioactivity and applicability.
Table 1

Identified peptides and in silico prediction of their allergenicity, toxicity, and physicochemical properties.

No.Peptide SequencePeptide Ranker ScoreAllergenicity PredictionNearest ProteinToxicity PredictionSVM ScoreSteric HindranceAmphipa thicityHydropho bicitypIMolecular Weight (Da)
1DPDDFPL0.91non-allergenUniProtKB accession number P17676Non-Toxin−0.880.60−0.173.43817.35
2NKISVVGVGAVGMACAISILMKDLA0.86non-allergenUniProtKB accession number Q10ST8Non-Toxin−1.470.650.290.138.542459.33
3DPQYPPGPPAFP0.85non-allergenUniProtKB accession number Q9S8M0Non-Toxin−0.270.520.1−0.073.81281.60
4ADGPLKGIL0.77non-allergenUniProtKB accession number Q9NP55Non-Toxin−0.720.60.410.056.19882.52
5RDPQYPPGPPAFP0.76non-allergenUniProtKB accession number Q9S8M0Non-Toxin−0.350.530.28−0.26.191437.70
6ARDPQYPPGPPAFP0.72non-allergenUniProtKB accession number Q9S8M0Non-Toxin−0.380.530.26−0.166.191508.74
7LPVPAFNVINGGSHAGNKL0.70non-allergenUniProtKB accession number Q8H0K8Non-Toxin−1.140.590.270.039.111904.03
8ENPKKYIPGTKMIFAGIK0.69non-allergenUniProtKB accession number Q9SSX0Non-Toxin−0.890.640.89−0.139.842034.13
9AGFGGDDAPRAVFP0.69non-allergenUniProtKB accession number Q8WYQ3Non-Toxin−1.190.620.18−0.034.211375.65
10GFAGDDAPRAVFP0.67non-allergenUniProtKB accession number Q00587Non-Toxin−1.160.610.19−0.044.211318.63
11DGPLKGIL0.66non-allergenUniProtKB accession number P09564Non-Toxin−0.760.620.460.036.19811.48
12ATGNPNPDIVWLK0.60non-allergenUniProtKB accession number Q96N21Non-Toxin−0.580.60.28−0.066.191423.75
13PPGKPGPPGPPGPPGIQGIHQTL0.55non-allergenUniProtKB accession number Q9S8M0Non-Toxin−0.150.510.33−0.039.112195.19
14FDEKPADLPSL0.53non-allergenUniProtKB accession number P23582Non-Toxin−1.190.580.45−0.154.031230.61
15AVNDPFID0.49non-allergenUniProtKB accession number P86071Non-Toxin−1.030.66003.57889.42
16DVPGPVLDLKPV0.47non-allergenUniProtKB accession number Q5T440Non-Toxin−1.230.590.310.014.211247.71
17VIDVPGPVRNL0.45non-allergenUniProtKB accession number Q7M2H1Non-Toxin−0.60.630.22−0.026.191177.68
18VNVLDKPGPPAAF0.42non-allergenUniProtKB accession number Q5T0Z8Non-Toxin−1.160.590.280.026.191323.72
19FDEKPADLPSLVE0.39non-allergenUniProtKB accession number P23582Non-Toxin−1.160.60.48−0.133.921458.72
20GGFAPNILDNHEALE0.37non-allergenUniProtKB accession number Q9C0K0Non-Toxin−1.230.590.27−0.034.141595.76
21AEEEFPDL0.33non-allergenUniProtKB accession number Q9BTT0Non-Toxin−0.630.610.48−0.163.51948.41
22FMVLPVGAA0.30non-allergenUniProtKB accession number P69448Non-Toxin−1.070.6100.345.88903.49
23PFQSSASSPSPSKNE0.30non-allergenUniProtKB accession number Q8WWM7Non-Toxin−0.890.550.41−0.266.351548.71
24DTFTTPGPPYAL0.29non-allergenUniProtKB accession number P54259Non-Toxin−0.540.5500.013.81278.61
25IEDPFDQDDWE0.28non-allergenUniProtKB accession number Q9SLY8Non-Toxin−0.690.670.34−0.293.261407.55
26MVVDGVKLM0.25non-allergenUniProtKB accession number P48494Non-Toxin−1.030.70.410.116.19990.52
27NFPTYDGKDRVIDL0.23non-allergenUniProtKB accession number Q9H0F7Non-Toxin−1.150.660.44−0.244.431651.82
28DNHEALELL0.23non-allergenUniProtKB accession number Q9S8F6Non-Toxin−1.140.550.44−0.134.141052.51
29EAEEFLPD0.21non-allergenUniProtKB accession number A2WMG6Non-Toxin−0.720.610.48−0.163.51948.41
30EDLQKPVLDL0.19non-allergenUniProtKB accession number P02647Non-Toxin−1.020.620.62−0.184.031168.63
31FDPVVEEKI0.15non-allergenUniProtKB accession number Q9S8N3Non-Toxin−1.170.660.69−0.084.141074.56
32VPEDSQEECAITY0.15non-allergenUniProtKB accession number Q84T68Non-Toxin−0.790.630.39−0.173.511482.62
33DISNADRLGFSEVEQVQ0.10non-allergenUniProtKB accession number Q99766Non-Toxin−1.420.660.44−0.213.921905.91
34RDKETPSGFTLDDVIQT0.10non-allergenUniProtKB accession number Q5SW96Non-Toxin−1.420.630.51−0.274.231920.94
35LTDTPTLASPEGSGET0.07non-allergenUniProtKB accession number Q8WYQ3Non-Toxin−1.530.560.16−0.113.581574.73
36SEEEDNEEEAEV0.05non-allergenUniProtKB accession number Q9BTT0Non-Toxin−0.850.670.74−0.433.321407.52
37NVLIFDLGGGTFDVSILTIDDGIFEVK0.02non-allergenUniProtKB accession number Q53IQ4Non-Toxin−1.630.670.180.13.722896.51
38PATIVPIDEESRNGTILVDNMLIKGTAAGPDPTIE0.02non-allergenUniProtKB accession number Q6UX39Non-Toxin−0.860.620.28−0.064.023646.88
39RIPVVLPEDEGIYT0.15allergenUniProtKB accession number Q6XNP7Non-Toxin−1.70.630.36−0.064.141599.85
40ELGPMTKPLCLKAA0.61allergenNCBI gi nimber 6069656Non-Toxin−1.410.570.61−0.048.541470.79
41LEQNQPIDDMIPA0.32allergenUniProtKB accession number Q01412Non-Toxin−1.390.640.29−0.133.51482.70
42AYEPVWAIGTGKTATPQ0.22allergenUniProtKB accession number P85814Non-Toxin−1.280.580.36−0.026.351788.90
43GEHGDSSVPVWSGVNVA0.35allergenUniProtKB accession number O42799Non-Toxin−1.260.590.1604.361695.79
44DLFDPVIQD0.18allergenNCBI gi nimber 423193Non-Toxin−1.250.660.14−0.063.431060.51
45VPTQHRGPVVL0.18allergenNCBI gi nimber 741844Non-Toxin−1.230.540.47−0.0810.111201.69
46AVGAVFDISNADRL0.39allergenNCBI gi nimber 1171011Non-Toxin−1.20.650.18−0.024.211446.75
47AVGAVFDIS0.22allergenNCBI gi nimber 29163773Non-Toxin−1.20.6500.233.8877.45
48FPFDVPSEPK0.58allergenNCBI gi nimber 63052Non-Toxin−1.180.580.49−0.124.381161.57
49LPTGIPIVYE0.19allergenNCBI gi nimber 50199132Non-Toxin−1.080.590.130.1841100.61
50KDLFDPVIQ0.27allergenNCBI gi nimber 1836010Non-Toxin−1.070.650.55−0.14.211073.58
51GDLGIEIPAE0.18allergenNCBI gi nimber 542132Non-Toxin−1.060.630.250.053.581012.51
52SNKKPELIDML0.46allergenNCBI gi nimber 3004471Non-Toxin−1.040.640.78−0.226.421286.69
53VPAFNVINGGSHAGNKL0.60allergenUniProtKB accession number B0Y665Non-Toxin−1.030.60.30.019.111693.89
54DLFDPVIQ0.31allergenNCBI gi nimber 1836010Non-Toxin−1.020.650.160.033.57945.48
55DLAGRDLTDYLM0.36allergenUniProtKB accession number Q28049Non-Toxin−0.990.650.2−0.153.941381.65
56TLVDVVEDKLKGE0.06allergenNCBI gi nimber 14148979Non-Toxin−0.980.660.76−0.174.321443.78
57LLLLAPGH0.38allergenUniProtKB accession number P01315Non-Toxin−0.960.460.180.267.1832.52
58YGKDATNVGDEGGFAPNIL0.32allergenNCBI gi nimber 160347126Non-Toxin−0.940.650.26−0.064.031936.92
59NDEELNKLLGKVT0.20allergenNCBI gi nimber 47117355Non-Toxin−0.940.650.76−0.264.681471.79
60HLDIPKML0.66allergenUniProtKB accession number P35776Non-Toxin−0.920.540.64−0.037.09965.54
61IDDHFLFDKPVSP0.46allergenNCBI gi nimber 3914446Non-Toxin−0.920.580.39−0.084.421528.76
62NGDKKSLGELIHTL0.39allergenNCBI gi nimber 261865475Non-Toxin−0.920.590.72−0.177.11523.83
63INDPFIDLN0.60allergenNCBI gi nimber 7228147Non-Toxin−0.90.670−0.023.571059.52
64IDDHFLFDKPVSPL0.71allergenNCBI gi nimber 3914446Non-Toxin−0.890.580.37−0.044.421641.84
65DDHFLFDKPVSPL0.75allergenNCBI gi nimber 3914446Non-Toxin−0.870.570.39−0.14.421528.76
66NYILDHLLGSK0.29allergenUniProtKB accession number P00709Non-Toxin−0.870.580.47−0.067.091271.69
67VSHRSGETEDTFIADL0.10allergenNCBI gi nimber 60116876Non-Toxin−0.870.590.4−0.184.311775.83
68DSSTNGLISFIK0.32allergenUniProtKB accession number Q39869Non-Toxin−0.830.640.31−0.066.191280.66
69VHVLLVNPHTGAT0.18allergenNCBI gi nimber 5689675Non-Toxin−0.820.50.220.097.261356.75
70GPPDPILGVT0.83allergenUniProtKB accession number Q9UMD9Non-Toxin−0.810.5700.13.8964.52
71DQIDDEIKLI0.25allergenNCBI gi nimber 28374072Non-Toxin−0.80.690.62−0.183.841200.62
72DNPVDLI0.38allergenNCBI gi nimber 105969543Non-Toxin−0.790.650−0.053.57784.40
73AKYGKDATNVGDEGGFAPNIL0.28allergenNCBI gi nimber 160347126Non-Toxin−0.760.650.41−0.094.562136.05
74EVMIDVLK0.14allergenNCBI gi nimber 19039Non-Toxin−0.710.690.620.024.38945.52
75DQIDDEIKLIGY0.30allergenUniProtKB accession number P02635Non-Toxin−0.660.690.52−0.143.841420.71
76DDVIQTGVDNPGHPFIM0.43allergenNCBI gi nimber 7228147Non-Toxin−0.530.620.16−0.033.931853.86
77SLKPEFVDIINAKH0.40allergenUniProtKB accession number Q86D83Non-Toxin−0.420.590.72−0.117.11609.88
78LKPEFVDIINAKH0.28allergenUniProtKB accession number Q86D83Non-Toxin−0.420.60.77−0.17.11522.85
79NVMSGGTTMYPGIADRM0.18allergenNCBI gi nimber 62550933Non-Toxin−0.320.660.14−0.066.191799.80
80GVDNPGHPYIM0.69allergenNCBI gi nimber 14423730Non-Toxin−0.220.590.1305.091198.54
81PDPLDPTCSLCTCEEGSMRCQKKPC0.80non-allergenUniProtKB accession number P08603Toxin0.030.590.54−0.274.792740.15
82IPGPPTGPIKF0.88non-allergenUniProtKB accession number Q9S8M0Toxin0.090.560.330.089.111122.64

Peptides obtained from the in silico gastrointestinal digestion simulation and prediction of their bioactivity, allergenicity, toxicity, and physicochemical properties.

No.Peptide SequencePeptide Ranker ScoreAllergenicity PredictionNearest ProteinToxicity PredictionSVM ScoreSteric HindranceAmphipa thicityHydropho bicitypIMolecular Weight (Da)
1IF0.95non-allergenUniProtKB accession number Q8WW43Non-Toxin−0.80.700.675.88278.37
2GPPDPIL0.91non-allergenUniProtKB accession number Q9Y2D1Non-Toxin−0.240.5400.073.8707.92
3GG0.89non-allergenUniProtKB accession number Q04130Non-Toxin−0.80.6800.165.88132.14
4DPQYPPGPPAF0.88non-allergenUniProtKB accession number Q9S8M0Non-Toxin−0.270.530.11−0.073.81185.44
5QKPVL0.82non-allergenUniProtKB accession number P49918Non-Toxin−0.880.590.98−0.169.11583.8
6KPC0.71non-allergenUniProtKB accession number P01075Non-Toxin−0.720.551.22−0.388.57346.47
7PEDEGI0.70non-allergenUniProtKB accession number Q9S8M0Non-Toxin−0.90.640.42−0.193.58658.74
8APGH0.65non-allergenUniProtKB accession number Q9S8K1Non-Toxin−0.860.390.36−0.027.1380.45
9GIL0.61non-allergenUniProtKB accession number O14569Non-Toxin−0.790.6400.475.88301.43
10AVF0.59non-allergenUniProtKB accession number P21926Non-Toxin−0.830.6400.475.88335.43
11PDP0.57non-allergenUniProtKB accession number Q9T2Q0Non-Toxin−0.820.490−0.293.8327.36
12GGDDAPR0.56non-allergenUniProtKB accession number Q7M1V9Non-Toxin−1.070.630.35−0.394.21686.76
13KPEF0.56non-allergenUniProtKB accession number A6N0M9Non-Toxin−0.890.61.23−0.36.35519.64
14ADGP0.56non-allergenUniProtKB accession number P83184Non-Toxin−0.710.580−0.093.8358.39
15GDSSVPVW0.56non-allergenUniProtKB accession number P02747Non-Toxin−0.990.5900.043.8846.01
16AGR0.55non-allergenUniProtKB accession number P80806Non-Toxin−0.780.630.82−0.4510.11302.36
17AG0.55non-allergenUniProtKB accession number Q109R6Non-Toxin−0.80.600.215.88146.16
18PTGIPIV0.54non-allergenUniProtKB accession number Q9T2Q0Non-Toxin−0.810.5800.265.88695.96
19AGDDAPR0.54non-allergenUniProtKB accession number Q7M1V9Non-Toxin−1.090.610.35−0.374.21700.78
20GGGT0.53non-allergenUniProtKB accession number Q04130Non-Toxin−0.770.6400.075.88290.33
21DVPGPVL0.50non-allergenUniProtKB accession number P83184Non-Toxin−0.670.5800.133.8695.91
22VDIINAK0.40non-allergenUniProtKB accession number Q7M1V6Non-Toxin−0.380.690.52−0.036.19772.01
23SGVNVA0.39non-allergenUniProtKB accession number Q9S8V2Non-Toxin−0.980.6500.15.88545.67
24VIDVPGPVR0.34non-allergenUniProtKB accession number P46269Non-Toxin−0.650.630.27−0.016.19951.26
25SNK0.33non-allergenUniProtKB accession number Q7FAY6Non-Toxin−0.760.661.22−0.679.11347.4
26DPTCS0.31non-allergenUniProtKB accession number P01076Non-Toxin−0.880.560−0.243.8521.59
27DR0.29non-allergenUniProtKB accession number F2YHL2Non-Toxin−0.80.721.23−1.246.19289.3
28ACAISI0.29non-allergenUniProtKB accession number Q7M1U1Non-Toxin−0.980.600.295.85576.78
29ISVVGVGAVGM0.29non-allergenUniProtKB accession number Q10ST8Non-Toxin−1.130.6700.335.88988.38
30INDP0.28non-allergenUniProtKB accession number P80819Non-Toxin−0.770.640−0.173.8457.53
31IPGTK0.27non-allergenUniProtKB accession number P00068Non-Toxin−0.950.590.73−0.099.11514.69
32GTAAGPDPTIE0.27non-allergenUniProtKB accession number Q96IK1Non-Toxin−0.840.570.12−0.033.671028.23
33AGIK0.25non-allergenUniProtKB accession number Q109R6Non-Toxin−0.850.650.920.019.11387.53
34PVPAF0.23non-allergenUniProtKB accession number P83184Non-Toxin−0.990.5300.255.88529.69
35AIGTGK0.22non-allergenUniProtKB accession number B8YI64Non-Toxin−0.780.630.6109.11545.72
36VDNM0.22non-allergenUniProtKB accession number Q8N0T1Non-Toxin−0.760.750−0.143.8477.58
37CTCEEGSM0.20non-allergenUniProtKB accession number P30569Non-Toxin−0.220.640.32−0.153.8859.05
38AGNK0.19non-allergenUniProtKB accession number Q7M1V9Non-Toxin−0.740.660.92−0.339.11388.47
39DNPVD0.19non-allergenUniProtKB accession number P80098Non-Toxin−0.720.670−0.323.57558.6
40GSK0.19non-allergenUniProtKB accession number Q13794Non-Toxin−0.740.631.22−0.49.11290.35
41DISNADR0.18non-allergenUniProtKB accession number P41208Non-Toxin−0.930.670.35−0.454.21789.88
42DVPSEPK0.17non-allergenUniProtKB accession number A0MH06Non-Toxin−1.030.580.71−0.334.38770.92
43AVNDP0.16non-allergenUniProtKB accession number P80819Non-Toxin−0.920.620−0.133.8514.59
44IDDH0.16non-allergenUniProtKB accession number Q9HBK9Non-Toxin−0.90.550.36−0.284.2498.54
45DDH0.16non-allergenUniProtKB accession number O00421Non-Toxin−0.820.510.48−0.614.2385.36
46DSSTNG0.16non-allergenUniProtKB accession number Q9S8W0Non-Toxin−0.590.630−0.323.8579.59
47TGAT0.15non-allergenUniProtKB accession number Q9T2R4Non-Toxin−0.780.5600.015.88348.4
48DDVIQTGVDNPGHP0.15non-allergenUniProtKB accession number Q96IK1Non-Toxin−0.530.60.19−0.153.931463.73
49GIEIPAE0.14non-allergenUniProtKB accession number Q06I91Non-Toxin−0.880.620.360.083.8727.91
50IEDP0.14non-allergenUniProtKB accession number P80819Non-Toxin−0.720.620.32−0.173.67472.54
51DNH0.14non-allergenUniProtKB accession number Q8WW43Non-Toxin−0.810.510.48−0.595.09384.38
52IAD0.14non-allergenUniProtKB accession number P86005Non-Toxin−0.810.6600.093.8317.37
53IS0.13non-allergenUniProtKB accession number P42055Non-Toxin−0.80.6100.235.88218.27
54TTPGPPY0.13non-allergenUniProtKB accession number A0MH06Non-Toxin−0.20.50−0.065.88731.89
55DPVIQD0.13non-allergenUniProtKB accession number Q9S8N3Non-Toxin−1.120.660.21−0.153.57685.81
56VL0.13non-allergenUniProtKB accession number P21730Non-Toxin−0.80.6100.545.88230.33
57VDIINAK0.12non-allergenUniProtKB accession number P80818Non-Toxin−0.380.690.52−0.036.19772.01
58AVGAV0.12non-allergenUniProtKB accession number A9UGV5Non-Toxin−0.80.6200.355.88415.55
59ETPSG0.11non-allergenUniProtKB accession number P26436Non-Toxin−0.990.560.25−0.194489.54
60AEEEF0.11non-allergenUniProtKB accession number Q9S8F6Non-Toxin−0.840.650.76−0.23.68623.67
61DQDD0.11non-allergenUniProtKB accession number P60006Non-Toxin−0.850.740.31−0.713.43491.45
62DIS0.11non-allergenUniProtKB accession number Q9C0F1Non-Toxin−0.820.660−0.083.8333.37
63VPTQH0.11non-allergenUniProtKB accession number Q9S8X3Non-Toxin−1.040.450.54−0.167.1580.71
64ENPK0.11non-allergenUniProtKB accession number P56615Non-Toxin−0.770.621.23−0.616.35486.57
65AK0.10non-allergenUniProtKB accession number Q9H246Non-Toxin−0.790.61.83−0.439.11217.28
66EAL0.09non-allergenUniProtKB accession number Q9S8F6Non-Toxin−0.840.580.420.054331.4
67GVT0.09non-allergenUniProtKB accession number P31110Non-Toxin−0.840.6400.175.88275.34
68EVM0.09non-allergenUniProtKB accession number Q8NBU5Non-Toxin−0.790.720.420.064377.49
69TATPQ0.09non-allergenUniProtKB accession number O00585Non-Toxin−0.910.520.25−0.175.88516.61
70VSH0.07non-allergenUniProtKB accession number Q9NWK9Non-Toxin−0.830.410.48−0.047.1341.4
71IDV0.07non-allergenUniProtKB accession number P86080Non-Toxin−0.80.7200.183.8345.43
72VID0.06non-allergenUniProtKB accession number Q08480Non-Toxin−0.80.7200.183.8345.43
73VVDGVK0.06non-allergenUniProtKB accession number P86008Non-Toxin−1.070.70.61−0.016.19615.81
74DPVVEEK0.06non-allergenUniProtKB accession number Q9S8N3Non-Toxin−1.020.650.89−0.294.14814.98
75DT0.05non-allergenUniProtKB accession number O75366Non-Toxin−0.80.650−0.453.8234.22
76SEVEQVQ0.05non-allergenUniProtKB accession number Q9BTT0Non-Toxin−1.110.660.72−0.263.8817.95
77NVINGGSH0.04non-allergenUniProtKB accession number Q99467Non-Toxin−0.680.60.18−0.047.1796.96
78VDVVEDK0.04non-allergenUniProtKB accession number A2XG55Non-Toxin−0.640.710.71−0.224.03802.97
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Identified peptides and in silico prediction of their allergenicity, toxicity, and physicochemical properties. Peptides obtained from the in silico gastrointestinal digestion simulation and prediction of their bioactivity, allergenicity, toxicity, and physicochemical properties.

Experimental design, materials, and methods

Preparation and separation of chicken peptides

Peptides were produced and separated according to our previous study with slight modification [1]. In brief, chicken breast was digested in tris-HCl buffer (50 mM, pH 8.0, 1:5 m/v) by Alcalase 2.4L (0.5% w/w, protein basis) for 8 h. The hydrolysates were then centrifuged (10000 rpm, 20 min, 4 °C), and deproteinized (adding 3 volumes of ethanol, stored at 4 °C, 20h before centrifugation). After centrifugation at 10000 rpm at 4 °C for 20 min, the ethanol was removed in a rotatory evaporator, and the peptides were lyophilized and re-dissolved in distilled water for Sephadex G25 separation. The peptides were eluted using 0.01 N HCl at 4 °C with a flow rate of 5 mL/20 min. Fractions were collected, lyophilized and re-dissolved in distilled water for analysis and separation. The most active fraction obtained from G25 fractionation was further isolated using HPLC with a Symmetry C18 column. The mobile phases consisted of solvent A: 0.1% v/v trifluoroacetic acetic acid (TFA) and solvent B: 0.085% v/v TFA in acetonitrile (ACN). Peptides were diluted using the following gradient: 0% B from 0 to 2 min, linearly increasing to 30% B at 50 min, 60% B at 60 min and 100% B at 65 min under a flow rate of 1 mL/min. Fractions were collected, lyophilized, and re-dissolved for analysis and identification.

Identification of peptide sequences

Peptides were identified using nano-LC tandem nanoelectrospray ionization source-quadrupole-time-of-flight (nanoESI-Q-ToF) MS/MS (AB Sciex Instruments, MA, USA). The sample was concentrated using Zip-Tip C18 (Millipore Corporation, Bedford, MA) before loaded onto an Eksigen trap column (3 μm C18-CL, 350 μm × 0.5 mm). Peptides were eluted using an analytical column (3 μm C18-CL, 75 μm × 123 mm; Nikkyo Technos Co, Ltd. Japan) under a flow rate of 0.3 μL/min at 30 °C. The mobile phases consisted of solvent A: 0.1% v/v formic acid (FA) in water and solvent B: 1% FA in acetonitrile (ACN). Peptides were eluted linearly from 5% to 35% solvent B over the first 20 min, and then from 35% to 65% solvent B for 10 min. The flow from the LC was ionized applying 2.8 kV. The Q-ToF was operated in positive polarity and information-dependent acquisition mode. MS1 scan was acquired from 350 to 1250 m/z for 250 ms, while MS2 scan was required from 100 to 1500 m/z for 50 ms on 50 of the most intense ions charging from 1 to 5. Up to 25 ions were selected for fragmentation after each survey scan. Dynamic exclusion was set to 15 s. The database searching of peptides was performed using the Mascot Distiller v2.4.2.0 software (Matrix Science, Inc., Boston, MA; http://www.matrixscience.com), and Mascot search engine with a significance threshold p < 0.05 using Chordata taxonomy, none enzyme digestion, and Uniprot database. The tolerance on the mass measurement was 0.3 Da for MS and 100 ppm for MS/MS.

In silico analysis of peptide bioactivity and applicability

In silico gastrointestinal digestion was assessed using the ExPASy PeptideCutter tool (http://web.expasy.org/peptide_cutter/). PeptideCutter predicts the potential cleavage sites by proteases in a given peptide sequence, according to the specific cleavage sites of proteases, and thus generate new peptides [2]. In present study, pepsin (pH 1.3 and pH > 2.0), trypsin, and chymotrypsin were chosen as digesting enzymes [3]. The potential bioactivity was predicted using the Peptide Ranker software (http://distilldeep.ucd.ie/PeptideRanker/) [4]. The prediction of peptide bioactivity was focused on particular amino acid residues as certain classes of bioactive peptides have specific structure features and amino acid sequences [5]. Peptides were scored from 0 to 1 and higher value means higher probability to be bioactive. The potential peptide allergenicity was predicted using the AllerTOP v. 2.0 software (http://www.ddg-pharmfac.net/AllerTOP/index.html) [6]. Peptides were classified by k-nearest neighbor algorithm based on training set containing 2427 known allergens from different species and 2427 non-allergens. Peptide toxicity and physicochemical properties (i.e., hydrophobicity, amphipathicity, steric hindrance, pI, and molecular weight) were studied using the ToxinPred software (http://crdd.osdd.net/raghava/toxinpred/) [7]. Peptide toxicity was predicted mainly according to the amino acid composition and position of peptides. The models were developed based on machine learning technique and quantitative matrix using more than 1805 toxic peptides.

Specifications Table

SubjectFood science, Food biochemistry
Specific subject areaBioactive peptides
Type of dataTable
How data were acquiredThe Alcalase digested chicken hydrolysate was separated through size-exclusion chromatography (SEC) and reversed-phase high-performance liquid chromatography (RP-HPLC) before the identification using nano-LC and ESI-Q-ToF in tandem mass spectrometry.Peptides were sequenced through database searching using Mascot. The identified peptides were further analyzed using various in silico methods including ExPASy PeptideCutter tool, Peptide Ranker, AllerTOP, and ToxinPred.
Data formatAnalyzed
Parameters for data collectionMS: Positive polarity mode. MS1 scan from 350 to 1250 m/z for 250 ms, MS2 scan from 100 to 1500 m/z for 50 ms. Ions charging 1 to 5.Mascot data analysis: Significance threshold p < 0.05, using Chordata taxonomy, none enzyme digestion, and Uniprot database. The tolerance on the mass measurement was 0.3 Da for MS1 and 100 ppm for MS2.
Description of data collectionData analysis was done using ExPASy PeptideCutter tool (http://web.expasy.org/peptide_cutter/) to simulate the gastrointestinl digestion. The potential bioactivity was predicted using the Peptide Ranker software (http://distilldeep.ucd.ie/PeptideRanker/). The potential peptide allergenicity was predicted using the AllerTOP v. 2.0 software (http://www.ddg-pharmfac.net/AllerTOP/index.html). Peptide toxicity and physicochemical properties (i.e., hydrophobicity, amphipathicity, steric hindrance, and pI) were studied using the ToxinPred software (http://crdd.osdd.net/raghava/toxinpred/).
Data source locationInstituto de Agroquímica y Tecnología de Alimentos (CSIC), Valencia, Spain
Data accessibilityWithin this article.
Related research articleAuthor's name: Chuqiao Xiao1,2,3, Mouming Zhao1,2, Feibai Zhou1,2, Marta Gallego3, Jie Gao1,2, Fidel Toldrá3, and Leticia Mora3*Title: Isolation and identification of alcohol dehydrogenase stabilizing peptides from Alcalase digested chicken breast hydrolysatesJournal: Journal of Functional FoodsDOI: https://doi.org/10.1016/j.jff.2019.103617
Value of the Data

The data in this article includes a series of bioactive peptides separated and identified from a chicken hydrolysate that has been reported to exert alcohol dehydrogenase stabilizing activity. The potential bioactivity and applicability have been assessed and listed in this article.

This article can benefit those who are interested in the separation and identification of bioactive peptides from food protein, with potential protection against alcoholic liver injury.

The data can provide some useful information about the amino acid composition of the potential bioactive peptides, which is important for the quantitative-structure activity relationship (QSAR) study of bioactive peptides. Also, some of the peptides are assessed to be neither bioactive nor physically stable, and this information could result useful in future research.

  1 in total

1.  Multifunctional Analysis of Chia Seed (Salvia hispanica L.) Bioactive Peptides Using Peptidomics and Molecular Dynamics Simulations Approaches.

Authors:  José E Aguilar-Toalá; Abraham Vidal-Limon; Andrea M Liceaga
Journal:  Int J Mol Sci       Date:  2022-06-30       Impact factor: 6.208

  1 in total

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