In Silico Comparative Analysis of Predicted B Cell Epitopes against Dengue Virus (Serotypes 1–4) Isolated from the Philippines
Dengue is a viral mosquito-borne disease that rapidly spreads in tropical and subtropical countries, including the Philippines. One of its most distinguishing characteristics is the ability of the Dengue Virus (DENV) to easily surpass the innate responses of the body, thus activating B cells of the...
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MDPI AG
2022-08-01
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| Series: | Vaccines |
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| Online Access: | https://www.mdpi.com/2076-393X/10/8/1259 |
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| author | Lyn Marielle I. Abesamis Evan Gilles A. Aliping Fritz Khrystian Gabriel H. Armada Mirriam F. Danao Pamela Denise B. del Valle Zypher Jude G. Regencia Emmanuel S. Baja Antonio D. Ligsay |
| author_facet | Lyn Marielle I. Abesamis Evan Gilles A. Aliping Fritz Khrystian Gabriel H. Armada Mirriam F. Danao Pamela Denise B. del Valle Zypher Jude G. Regencia Emmanuel S. Baja Antonio D. Ligsay |
| author_sort | Lyn Marielle I. Abesamis |
| collection | DOAJ |
| description | Dengue is a viral mosquito-borne disease that rapidly spreads in tropical and subtropical countries, including the Philippines. One of its most distinguishing characteristics is the ability of the Dengue Virus (DENV) to easily surpass the innate responses of the body, thus activating B cells of the adaptive immunity to produce virus-specific antibodies. Moreover, Dengvaxia<sup>®</sup> is the only licensed vaccine for DENV, but recent studies showed that seronegative individuals become prone to increased disease severity and hospitalization. Owing to this limitation of the dengue vaccine, this study determined and compared consensus and unique B cell epitopes among each DENV (1–4) Philippine isolate to identify potential areas of interest for future vaccine studies and therapeutic developments. An in silico-based epitope prediction of forty (40) DENV 1–4 strains, each serotype represented by ten (10) sequences from The National Center for Biotechnology Information (NCBI), was conducted using Kolaskar and Tongaonkar antigenicity, Emini surface accessibility, and Parker hydrophilicity prediction in Immune Epitope Database (IEDB). Results showed that five (5) epitopes were consensus for DENV-1 with no detected unique epitope, one (1) consensus epitope for DENV-2 with two (2) unique epitopes, one (1) consensus epitope for DENV-3 plus two (2) unique epitopes, and two (2) consensus epitopes and one (1) unique epitope for DENV-4. The findings of this study would contribute to determining potential vaccine and diagnostic marker candidates for further research studies and immunological applications against DENV (1–4) Philippine isolates. |
| first_indexed | 2024-03-09T09:48:09Z |
| format | Article |
| id | doaj.art-c20c861b0e074b8e9e9cd9c7c6cc2001 |
| institution | Directory Open Access Journal |
| issn | 2076-393X |
| language | English |
| last_indexed | 2024-03-09T09:48:09Z |
| publishDate | 2022-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Vaccines |
| spelling | doaj.art-c20c861b0e074b8e9e9cd9c7c6cc20012023-12-02T00:25:16ZengMDPI AGVaccines2076-393X2022-08-01108125910.3390/vaccines10081259In Silico Comparative Analysis of Predicted B Cell Epitopes against Dengue Virus (Serotypes 1–4) Isolated from the PhilippinesLyn Marielle I. Abesamis0Evan Gilles A. Aliping1Fritz Khrystian Gabriel H. Armada2Mirriam F. Danao3Pamela Denise B. del Valle4Zypher Jude G. Regencia5Emmanuel S. Baja6Antonio D. Ligsay7Department of Biological Sciences, College of Science, University of Santo Tomas, España Blvd., Manila 1008, PhilippinesDepartment of Biological Sciences, College of Science, University of Santo Tomas, España Blvd., Manila 1008, PhilippinesDepartment of Biological Sciences, College of Science, University of Santo Tomas, España Blvd., Manila 1008, PhilippinesDepartment of Biological Sciences, College of Science, University of Santo Tomas, España Blvd., Manila 1008, PhilippinesDepartment of Biological Sciences, College of Science, University of Santo Tomas, España Blvd., Manila 1008, PhilippinesDepartment of Clinical Epidemiology, College of Medicine, University of the Philippines-Manila, Pedro Gil Street, Ermita, Manila 1000, PhilippinesDepartment of Clinical Epidemiology, College of Medicine, University of the Philippines-Manila, Pedro Gil Street, Ermita, Manila 1000, PhilippinesDepartment of Biological Sciences, College of Science, University of Santo Tomas, España Blvd., Manila 1008, PhilippinesDengue is a viral mosquito-borne disease that rapidly spreads in tropical and subtropical countries, including the Philippines. One of its most distinguishing characteristics is the ability of the Dengue Virus (DENV) to easily surpass the innate responses of the body, thus activating B cells of the adaptive immunity to produce virus-specific antibodies. Moreover, Dengvaxia<sup>®</sup> is the only licensed vaccine for DENV, but recent studies showed that seronegative individuals become prone to increased disease severity and hospitalization. Owing to this limitation of the dengue vaccine, this study determined and compared consensus and unique B cell epitopes among each DENV (1–4) Philippine isolate to identify potential areas of interest for future vaccine studies and therapeutic developments. An in silico-based epitope prediction of forty (40) DENV 1–4 strains, each serotype represented by ten (10) sequences from The National Center for Biotechnology Information (NCBI), was conducted using Kolaskar and Tongaonkar antigenicity, Emini surface accessibility, and Parker hydrophilicity prediction in Immune Epitope Database (IEDB). Results showed that five (5) epitopes were consensus for DENV-1 with no detected unique epitope, one (1) consensus epitope for DENV-2 with two (2) unique epitopes, one (1) consensus epitope for DENV-3 plus two (2) unique epitopes, and two (2) consensus epitopes and one (1) unique epitope for DENV-4. The findings of this study would contribute to determining potential vaccine and diagnostic marker candidates for further research studies and immunological applications against DENV (1–4) Philippine isolates.https://www.mdpi.com/2076-393X/10/8/1259dengueepitopepeptideB cellDENV-1DENV-2 |
| spellingShingle | Lyn Marielle I. Abesamis Evan Gilles A. Aliping Fritz Khrystian Gabriel H. Armada Mirriam F. Danao Pamela Denise B. del Valle Zypher Jude G. Regencia Emmanuel S. Baja Antonio D. Ligsay In Silico Comparative Analysis of Predicted B Cell Epitopes against Dengue Virus (Serotypes 1–4) Isolated from the Philippines Vaccines dengue epitope peptide B cell DENV-1 DENV-2 |
| title | In Silico Comparative Analysis of Predicted B Cell Epitopes against Dengue Virus (Serotypes 1–4) Isolated from the Philippines |
| title_full | In Silico Comparative Analysis of Predicted B Cell Epitopes against Dengue Virus (Serotypes 1–4) Isolated from the Philippines |
| title_fullStr | In Silico Comparative Analysis of Predicted B Cell Epitopes against Dengue Virus (Serotypes 1–4) Isolated from the Philippines |
| title_full_unstemmed | In Silico Comparative Analysis of Predicted B Cell Epitopes against Dengue Virus (Serotypes 1–4) Isolated from the Philippines |
| title_short | In Silico Comparative Analysis of Predicted B Cell Epitopes against Dengue Virus (Serotypes 1–4) Isolated from the Philippines |
| title_sort | in silico comparative analysis of predicted b cell epitopes against dengue virus serotypes 1 4 isolated from the philippines |
| topic | dengue epitope peptide B cell DENV-1 DENV-2 |
| url | https://www.mdpi.com/2076-393X/10/8/1259 |
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