Identification Of Bioactive Peptide From Chicken Ovalbumin Using An Integrated Bioinformatics-assisted Approach And Determining Their Functional Significance

complete integrated bioinformatics approach was developed to identify angiotensin-converting enzyme (ACE) and dipeptidyl peptidase-4 (DPP-4) inhibitory peptides from chicken ovalbumin (OVA). This approach involved PeptideCutter, Peptide Ranker and Pepsite2 in order to hydrolyse OVA protein sequence...

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Main Author: Mohd Salim, Mohd Adam
Format: Thesis
Language:English
Published: 2021
Subjects:
Online Access:http://eprints.usm.my/53229/
http://eprints.usm.my/53229/1/MOHD%20ADAM%20SALIM%20BIN%20MOHD%20SALIM%20-%20TESIS24.pdf
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author Mohd Salim, Mohd Adam
author_facet Mohd Salim, Mohd Adam
author_sort Mohd Salim, Mohd Adam
building USM Institutional Repository
collection Online Access
description complete integrated bioinformatics approach was developed to identify angiotensin-converting enzyme (ACE) and dipeptidyl peptidase-4 (DPP-4) inhibitory peptides from chicken ovalbumin (OVA). This approach involved PeptideCutter, Peptide Ranker and Pepsite2 in order to hydrolyse OVA protein sequence into smaller peptides, to identify the probability of the peptides being bioactive and to investigate the interaction between the peptides and target enzymes (i.e. ACE and DPP-4), respectively. OVA sequence was initially hydrolysed using PeptideCutter. Pepsin (P), Chymotrypsin (C) and Trypsin (T) were used in 7 different OVA (O) hydrolysis combination (OP, OC, OT, OCT, OPC, OPT and OPCT), thus, producing 71 peptides. Top ten novel bioactive peptides (i.e. CF, KM, ELPF, AM, ADHPH, LPR, PR, FR, PRM and GR) were then successfully identified and selected based on the amino acid sequences as well as the peptide interactions with ACE and DPP-4. Against ACE, IC50 of CF, KM, ELPF, AM, ADHPH, LPR, PR, FR, PRM and GR were 1.82, 1.89, 4.24, 3.07, 3.54, 1.30, 5.47, 4.35, 5.22 and 3.11 mM, respectively. These results were comparable to commercial inhibitor for ACE, captopril (IC50 = 3.98 mM). While against DPP-4, however, inhibitory activities were only comparable to other reported DPP-4 inhibitory peptides such as EK (IC50 = 3.22 mM) and GL (IC50 = 2.62 mM), as the peptides were able to achieve 2.99, 2.22, 9.92, 2.79, 1.66, 1.43, 4.11, 2.47, 2.50 and 2.83 mM, respectively
first_indexed 2025-11-15T18:35:25Z
format Thesis
id usm-53229
institution Universiti Sains Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T18:35:25Z
publishDate 2021
recordtype eprints
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spelling usm-532292022-06-30T17:34:06Z http://eprints.usm.my/53229/ Identification Of Bioactive Peptide From Chicken Ovalbumin Using An Integrated Bioinformatics-assisted Approach And Determining Their Functional Significance Mohd Salim, Mohd Adam QD415-436 Biochemistry complete integrated bioinformatics approach was developed to identify angiotensin-converting enzyme (ACE) and dipeptidyl peptidase-4 (DPP-4) inhibitory peptides from chicken ovalbumin (OVA). This approach involved PeptideCutter, Peptide Ranker and Pepsite2 in order to hydrolyse OVA protein sequence into smaller peptides, to identify the probability of the peptides being bioactive and to investigate the interaction between the peptides and target enzymes (i.e. ACE and DPP-4), respectively. OVA sequence was initially hydrolysed using PeptideCutter. Pepsin (P), Chymotrypsin (C) and Trypsin (T) were used in 7 different OVA (O) hydrolysis combination (OP, OC, OT, OCT, OPC, OPT and OPCT), thus, producing 71 peptides. Top ten novel bioactive peptides (i.e. CF, KM, ELPF, AM, ADHPH, LPR, PR, FR, PRM and GR) were then successfully identified and selected based on the amino acid sequences as well as the peptide interactions with ACE and DPP-4. Against ACE, IC50 of CF, KM, ELPF, AM, ADHPH, LPR, PR, FR, PRM and GR were 1.82, 1.89, 4.24, 3.07, 3.54, 1.30, 5.47, 4.35, 5.22 and 3.11 mM, respectively. These results were comparable to commercial inhibitor for ACE, captopril (IC50 = 3.98 mM). While against DPP-4, however, inhibitory activities were only comparable to other reported DPP-4 inhibitory peptides such as EK (IC50 = 3.22 mM) and GL (IC50 = 2.62 mM), as the peptides were able to achieve 2.99, 2.22, 9.92, 2.79, 1.66, 1.43, 4.11, 2.47, 2.50 and 2.83 mM, respectively 2021-10 Thesis NonPeerReviewed application/pdf en http://eprints.usm.my/53229/1/MOHD%20ADAM%20SALIM%20BIN%20MOHD%20SALIM%20-%20TESIS24.pdf Mohd Salim, Mohd Adam (2021) Identification Of Bioactive Peptide From Chicken Ovalbumin Using An Integrated Bioinformatics-assisted Approach And Determining Their Functional Significance. Masters thesis, Universiti Sains Malaysia..
spellingShingle QD415-436 Biochemistry
Mohd Salim, Mohd Adam
Identification Of Bioactive Peptide From Chicken Ovalbumin Using An Integrated Bioinformatics-assisted Approach And Determining Their Functional Significance
title Identification Of Bioactive Peptide From Chicken Ovalbumin Using An Integrated Bioinformatics-assisted Approach And Determining Their Functional Significance
title_full Identification Of Bioactive Peptide From Chicken Ovalbumin Using An Integrated Bioinformatics-assisted Approach And Determining Their Functional Significance
title_fullStr Identification Of Bioactive Peptide From Chicken Ovalbumin Using An Integrated Bioinformatics-assisted Approach And Determining Their Functional Significance
title_full_unstemmed Identification Of Bioactive Peptide From Chicken Ovalbumin Using An Integrated Bioinformatics-assisted Approach And Determining Their Functional Significance
title_short Identification Of Bioactive Peptide From Chicken Ovalbumin Using An Integrated Bioinformatics-assisted Approach And Determining Their Functional Significance
title_sort identification of bioactive peptide from chicken ovalbumin using an integrated bioinformatics-assisted approach and determining their functional significance
topic QD415-436 Biochemistry
url http://eprints.usm.my/53229/
http://eprints.usm.my/53229/1/MOHD%20ADAM%20SALIM%20BIN%20MOHD%20SALIM%20-%20TESIS24.pdf