A Computational Approach for Designing a Universal Epitope-Based Peptide Vaccine Against Nipah Virus
Nipah virus (NiV) is highly pathogenic single-stranded negative sense RNA virus. It can cause severe encephalitis and respiratory disease in humans. In addition, NiV infects a large range of host including mammals. As a result of its higher zoonotic potential and pathogenicity for human, it has been...
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| Veröffentlicht in: | Interdisciplinary sciences : computational life sciences 2015-06, Vol.7 (2), p.177-185 |
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| description | Nipah virus (NiV) is highly pathogenic single-stranded negative sense RNA virus. It can cause severe encephalitis and respiratory disease in humans. In addition, NiV infects a large range of host including mammals. As a result of its higher zoonotic potential and pathogenicity for human, it has been rated as an alert in recent days. A therapeutic treatment or vaccines has become elusive to fight against this virus. In this study, the attachment (G) and fusion (F) glycoproteins of NiV, responsible for the viral attachment and entry to the host cell, were selected to develop epitope-based vaccine against Nipah virus. Epitopes were identified from the conserved region of G and F protein of NiV. Both B-cell and T-cell immunity were checked to affirm it that these epitopes will be able to induce humoral and cellular immunity. A total of 6 T-cell epitopes and 19 significant HLA–epitope interactions were identified. Eventually it has shown an acceptable percentage in population coverage (46.45 %) and efficient binding with HLA molecule by molecular docking study. |
| doi_str_mv | 10.1007/s12539-015-0023-0 |
| format | Article |
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It can cause severe encephalitis and respiratory disease in humans. In addition, NiV infects a large range of host including mammals. As a result of its higher zoonotic potential and pathogenicity for human, it has been rated as an alert in recent days. A therapeutic treatment or vaccines has become elusive to fight against this virus. In this study, the attachment (G) and fusion (F) glycoproteins of NiV, responsible for the viral attachment and entry to the host cell, were selected to develop epitope-based vaccine against Nipah virus. Epitopes were identified from the conserved region of G and F protein of NiV. Both B-cell and T-cell immunity were checked to affirm it that these epitopes will be able to induce humoral and cellular immunity. A total of 6 T-cell epitopes and 19 significant HLA–epitope interactions were identified. Eventually it has shown an acceptable percentage in population coverage (46.45 %) and efficient binding with HLA molecule by molecular docking study.</description><identifier>ISSN: 1913-2751</identifier><identifier>EISSN: 1867-1462</identifier><identifier>DOI: 10.1007/s12539-015-0023-0</identifier><identifier>PMID: 26156209</identifier><language>eng</language><publisher>Quebec: International Association of Scientists in the Interdisciplinary Areas</publisher><subject>Attachment ; Biomedical and Life Sciences ; Cellular ; Computation ; Computational Biology/Bioinformatics ; Computational Science and Engineering ; Computer Appl. in Life Sciences ; Computer-Aided Design ; Drug Design ; Epitopes, T-Lymphocyte - immunology ; Glycoproteins ; Health Sciences ; Henipavirus Infections - epidemiology ; Henipavirus Infections - immunology ; Henipavirus Infections - prevention & control ; Henipavirus Infections - virology ; HLA Antigens - immunology ; Human ; Humans ; Immunity ; Immunity, Cellular ; Immunity, Humoral ; Immunogenicity, Vaccine ; Life Sciences ; Ligands ; Mathematical and Computational Physics ; Medicine ; Models, Immunological ; Molecular Docking Simulation ; Nipah virus ; Nipah Virus - immunology ; Original Research Article ; Pathogens ; Peptides ; Recombinant Fusion Proteins - immunology ; Respiratory diseases ; Statistics for Life Sciences ; Theoretical ; Theoretical and Computational Chemistry ; Vaccines ; Vaccines, Subunit - immunology ; Viral Envelope Proteins - immunology ; Viral Fusion Proteins - immunology ; Viral Vaccines - immunology</subject><ispartof>Interdisciplinary sciences : computational life sciences, 2015-06, Vol.7 (2), p.177-185</ispartof><rights>International Association of Scientists in the Interdisciplinary Areas and Springer-Verlag Berlin Heidelberg 2015</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c481t-308e7fa7fbb9eb2e72e36af44bc71f340717c64d747299f333ea9c6c199253ee3</citedby><cites>FETCH-LOGICAL-c481t-308e7fa7fbb9eb2e72e36af44bc71f340717c64d747299f333ea9c6c199253ee3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s12539-015-0023-0$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s12539-015-0023-0$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26156209$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ali, Mohammad Tuhin</creatorcontrib><creatorcontrib>Morshed, Mohammed Monzur</creatorcontrib><creatorcontrib>Hassan, Faizule</creatorcontrib><title>A Computational Approach for Designing a Universal Epitope-Based Peptide Vaccine Against Nipah Virus</title><title>Interdisciplinary sciences : computational life sciences</title><addtitle>Interdiscip Sci Comput Life Sci</addtitle><addtitle>Interdiscip Sci</addtitle><description>Nipah virus (NiV) is highly pathogenic single-stranded negative sense RNA virus. It can cause severe encephalitis and respiratory disease in humans. In addition, NiV infects a large range of host including mammals. As a result of its higher zoonotic potential and pathogenicity for human, it has been rated as an alert in recent days. A therapeutic treatment or vaccines has become elusive to fight against this virus. In this study, the attachment (G) and fusion (F) glycoproteins of NiV, responsible for the viral attachment and entry to the host cell, were selected to develop epitope-based vaccine against Nipah virus. Epitopes were identified from the conserved region of G and F protein of NiV. Both B-cell and T-cell immunity were checked to affirm it that these epitopes will be able to induce humoral and cellular immunity. A total of 6 T-cell epitopes and 19 significant HLA–epitope interactions were identified. Eventually it has shown an acceptable percentage in population coverage (46.45 %) and efficient binding with HLA molecule by molecular docking study.</description><subject>Attachment</subject><subject>Biomedical and Life Sciences</subject><subject>Cellular</subject><subject>Computation</subject><subject>Computational Biology/Bioinformatics</subject><subject>Computational Science and Engineering</subject><subject>Computer Appl. in Life Sciences</subject><subject>Computer-Aided Design</subject><subject>Drug Design</subject><subject>Epitopes, T-Lymphocyte - immunology</subject><subject>Glycoproteins</subject><subject>Health Sciences</subject><subject>Henipavirus Infections - epidemiology</subject><subject>Henipavirus Infections - immunology</subject><subject>Henipavirus Infections - prevention & control</subject><subject>Henipavirus Infections - virology</subject><subject>HLA Antigens - immunology</subject><subject>Human</subject><subject>Humans</subject><subject>Immunity</subject><subject>Immunity, Cellular</subject><subject>Immunity, Humoral</subject><subject>Immunogenicity, Vaccine</subject><subject>Life Sciences</subject><subject>Ligands</subject><subject>Mathematical and Computational Physics</subject><subject>Medicine</subject><subject>Models, Immunological</subject><subject>Molecular Docking Simulation</subject><subject>Nipah virus</subject><subject>Nipah Virus - immunology</subject><subject>Original Research Article</subject><subject>Pathogens</subject><subject>Peptides</subject><subject>Recombinant Fusion Proteins - immunology</subject><subject>Respiratory diseases</subject><subject>Statistics for Life Sciences</subject><subject>Theoretical</subject><subject>Theoretical and Computational Chemistry</subject><subject>Vaccines</subject><subject>Vaccines, Subunit - immunology</subject><subject>Viral Envelope Proteins - immunology</subject><subject>Viral Fusion Proteins - immunology</subject><subject>Viral Vaccines - immunology</subject><issn>1913-2751</issn><issn>1867-1462</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqNkU9PHCEYh0lTU-3qB_BiSHrxQuUFBobjdrV_EtP2oF4Jw7yzYnZnpjDTxG9f7GrTmJh4goTn_QG_h5Bj4B-Bc3OWQVTSMg4V41xIxt-QA6i1YaC0eFv2FiQTpoJ98j7nO861qiV_R_aFhkoLbg9Iu6SrYTvOk5_i0PsNXY5jGny4pd2Q6DnmuO5jv6aeXvfxN6ZckIsxTsOI7JPP2NKfOE6xRXrjQ4g90uXaxz5P9Hsc_S29iWnOh2Sv85uMR4_rglx_vrhafWWXP758Wy0vWVA1TEzyGk3nTdc0FhuBRqDUvlOqCQY6qbgBE7RqjTLC2k5Kid4GHcDa0gOiXJDTXW75wq8Z8-S2MQfcbHyPw5wdmEpWYKXUr0CFgBq0Vq9AeQHBlm4X5MMz9G6YU6n1L2VMKb08YUFgR4U05Jywc2OKW5_uHXD3INbtxLoi1j2IdbzMnDwmz80W238TTyYLIHZALkf9GtN_V7-Y-gfw_auX</recordid><startdate>20150601</startdate><enddate>20150601</enddate><creator>Ali, Mohammad Tuhin</creator><creator>Morshed, Mohammed Monzur</creator><creator>Hassan, Faizule</creator><general>International Association of Scientists in the Interdisciplinary Areas</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QO</scope><scope>7SC</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K9.</scope><scope>L7M</scope><scope>LK8</scope><scope>L~C</scope><scope>L~D</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>7X8</scope><scope>7U9</scope><scope>H94</scope></search><sort><creationdate>20150601</creationdate><title>A Computational Approach for Designing a Universal Epitope-Based Peptide Vaccine Against Nipah Virus</title><author>Ali, Mohammad Tuhin ; Morshed, Mohammed Monzur ; Hassan, Faizule</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c481t-308e7fa7fbb9eb2e72e36af44bc71f340717c64d747299f333ea9c6c199253ee3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Attachment</topic><topic>Biomedical and Life Sciences</topic><topic>Cellular</topic><topic>Computation</topic><topic>Computational Biology/Bioinformatics</topic><topic>Computational Science and Engineering</topic><topic>Computer Appl. in Life Sciences</topic><topic>Computer-Aided Design</topic><topic>Drug Design</topic><topic>Epitopes, T-Lymphocyte - 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Academic</collection><collection>Virology and AIDS Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><jtitle>Interdisciplinary sciences : computational life sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ali, Mohammad Tuhin</au><au>Morshed, Mohammed Monzur</au><au>Hassan, Faizule</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Computational Approach for Designing a Universal Epitope-Based Peptide Vaccine Against Nipah Virus</atitle><jtitle>Interdisciplinary sciences : computational life sciences</jtitle><stitle>Interdiscip Sci Comput Life Sci</stitle><addtitle>Interdiscip Sci</addtitle><date>2015-06-01</date><risdate>2015</risdate><volume>7</volume><issue>2</issue><spage>177</spage><epage>185</epage><pages>177-185</pages><issn>1913-2751</issn><eissn>1867-1462</eissn><abstract>Nipah virus (NiV) is highly pathogenic single-stranded negative sense RNA virus. It can cause severe encephalitis and respiratory disease in humans. In addition, NiV infects a large range of host including mammals. As a result of its higher zoonotic potential and pathogenicity for human, it has been rated as an alert in recent days. A therapeutic treatment or vaccines has become elusive to fight against this virus. In this study, the attachment (G) and fusion (F) glycoproteins of NiV, responsible for the viral attachment and entry to the host cell, were selected to develop epitope-based vaccine against Nipah virus. Epitopes were identified from the conserved region of G and F protein of NiV. Both B-cell and T-cell immunity were checked to affirm it that these epitopes will be able to induce humoral and cellular immunity. A total of 6 T-cell epitopes and 19 significant HLA–epitope interactions were identified. Eventually it has shown an acceptable percentage in population coverage (46.45 %) and efficient binding with HLA molecule by molecular docking study.</abstract><cop>Quebec</cop><pub>International Association of Scientists in the Interdisciplinary Areas</pub><pmid>26156209</pmid><doi>10.1007/s12539-015-0023-0</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record> |
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| ispartof | Interdisciplinary sciences : computational life sciences, 2015-06, Vol.7 (2), p.177-185 |
| issn | 1913-2751 1867-1462 |
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| subjects | Attachment Biomedical and Life Sciences Cellular Computation Computational Biology/Bioinformatics Computational Science and Engineering Computer Appl. in Life Sciences Computer-Aided Design Drug Design Epitopes, T-Lymphocyte - immunology Glycoproteins Health Sciences Henipavirus Infections - epidemiology Henipavirus Infections - immunology Henipavirus Infections - prevention & control Henipavirus Infections - virology HLA Antigens - immunology Human Humans Immunity Immunity, Cellular Immunity, Humoral Immunogenicity, Vaccine Life Sciences Ligands Mathematical and Computational Physics Medicine Models, Immunological Molecular Docking Simulation Nipah virus Nipah Virus - immunology Original Research Article Pathogens Peptides Recombinant Fusion Proteins - immunology Respiratory diseases Statistics for Life Sciences Theoretical Theoretical and Computational Chemistry Vaccines Vaccines, Subunit - immunology Viral Envelope Proteins - immunology Viral Fusion Proteins - immunology Viral Vaccines - immunology |
| title | A Computational Approach for Designing a Universal Epitope-Based Peptide Vaccine Against Nipah Virus |
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