In Silico Modeling and Identification of Novel Epitopes-based Vaccine of M polyprotein (Gn/Gc) against Schmallenberg Virus for Ruminants
8 Angebote vergleichen
Preise | Jan. 17 | Apr. 17 | Okt. 19 |
---|---|---|---|
Schnitt | Fr. 15.90 (€ 16.25)¹ | Fr. 14.59 (€ 14.92)¹ | Fr. 17.46 (€ 17.85)¹ |
Nachfrage |
1
In Silico Modeling and Identification of Novel Epitopes-based Vaccine of M polyprotein (Gn/Gc) against Schmallenberg Virus for Ruminants (2016)
~EN PB NW
ISBN: 9783668335295 bzw. 366833529X, vermutlich in Englisch, Grin Verlag, Taschenbuch, neu.
Lieferung aus: Deutschland, Versandkosten nach: Deutschland, Versandkostenfrei.
Von Händler/Antiquariat, buecher.de GmbH & Co. KG, [1].
Research Paper (postgraduate) from the year 2016 in the subject Computer Science - Bioinformatics, language: English, abstract: Schmallenberg (SBV) is a new virus of the Bunyaviridae family within the genus Orthobunyavirus. The viral infection causes mild clinical signs: fever, reduced milk production and diarrhea, as well as considerable economic loss. There is currently no treatment or vaccine for infected animals. We aimed to design a peptide vaccine using an Immunoinformatics approach to stimulate the immune system and reduce the potentially negative effects of using live vaccines. In this study, a total of 47 strains of complete M polyprotein sequence (Gn/NSm/GC) and 61 strains of nonstructural protein in S segment (NSs) of Schmallenberg virus which were chosen for this study were taken from NCBI. Potentially continuous B and T cell epitopes were predicted using tools from immune epitope data base analysis resource (IEDB-AR). We found that Gn and Gc regions of M polyprotein in SBV were clearly suitable and could be used for the preparation of immunological constructs. Our studies suggest that: B cell epitope 764QQQACSS770 and CTL epitopes 251YMYNKYFKL259, 46SECCVKDDI54 and 234IVYVFIPIF242 could be used as a potential vaccine candidate against SBV. We consider this study distinctive because no research ever dealt with peptide-based vaccines on virulent strains of SBV using an in silico approach. 2016. 36 S. 210 mm Versandfertig in 6-10 Tagen, Softcover, Neuware, offene Rechnung (Vorkasse vorbehalten).
Von Händler/Antiquariat, buecher.de GmbH & Co. KG, [1].
Research Paper (postgraduate) from the year 2016 in the subject Computer Science - Bioinformatics, language: English, abstract: Schmallenberg (SBV) is a new virus of the Bunyaviridae family within the genus Orthobunyavirus. The viral infection causes mild clinical signs: fever, reduced milk production and diarrhea, as well as considerable economic loss. There is currently no treatment or vaccine for infected animals. We aimed to design a peptide vaccine using an Immunoinformatics approach to stimulate the immune system and reduce the potentially negative effects of using live vaccines. In this study, a total of 47 strains of complete M polyprotein sequence (Gn/NSm/GC) and 61 strains of nonstructural protein in S segment (NSs) of Schmallenberg virus which were chosen for this study were taken from NCBI. Potentially continuous B and T cell epitopes were predicted using tools from immune epitope data base analysis resource (IEDB-AR). We found that Gn and Gc regions of M polyprotein in SBV were clearly suitable and could be used for the preparation of immunological constructs. Our studies suggest that: B cell epitope 764QQQACSS770 and CTL epitopes 251YMYNKYFKL259, 46SECCVKDDI54 and 234IVYVFIPIF242 could be used as a potential vaccine candidate against SBV. We consider this study distinctive because no research ever dealt with peptide-based vaccines on virulent strains of SBV using an in silico approach. 2016. 36 S. 210 mm Versandfertig in 6-10 Tagen, Softcover, Neuware, offene Rechnung (Vorkasse vorbehalten).
2
Symbolbild
In Silico Modeling and Identification of Novel Epitopes-Based Vaccine of M Polyprotein (Gn/Gc) Against Schmallenberg Virus for Ruminants (Paperback) (2016)
~EN PB NW FE
ISBN: 9783668335295 bzw. 366833529X, vermutlich in Englisch, GRIN Verlag, United States, Taschenbuch, neu, Erstausgabe.
Von Händler/Antiquariat, The Book Depository EURO [60485773], London, United Kingdom.
Language: English. Brand new Book. Research Paper (postgraduate) from the year 2016 in the subject Computer Science - Bioinformatics, language: English, abstract: Schmallenberg (SBV) is a new virus of the Bunyaviridae family within the genus Orthobunyavirus. The viral infection causes mild clinical signs: fever, reduced milk production and diarrhea, as well as considerable economic loss. There is currently no treatment or vaccine for infected animals. We aimed to design a peptide vaccine using an Immunoinformatics approach to stimulate the immune system and reduce the potentially negative effects of using live vaccines. In this study, a total of 47 strains of complete M polyprotein sequence (Gn/NSm/GC) and 61 strains of nonstructural protein in S segment (NSs) of Schmallenberg virus which were chosen for this study were taken from NCBI. Potentially continuous B and T cell epitopes were predicted using tools from immune epitope data base analysis resource (IEDB-AR). We found that Gn and Gc regions of M polyprotein in SBV were clearly suitable and could be used for the preparation of immunological constructs. Our studies suggest that: B cell epitope 764QQQACSS770 and CTL epitopes 251YMYNKYFKL259, 46SECCVKDDI54 and 234IVYVFIPIF242 could be used as a potential vaccine candidate against SBV. We consider this study distinctive because no research ever dealt with peptide-based vaccines on virulent strains of SBV using an in silico approach.
Language: English. Brand new Book. Research Paper (postgraduate) from the year 2016 in the subject Computer Science - Bioinformatics, language: English, abstract: Schmallenberg (SBV) is a new virus of the Bunyaviridae family within the genus Orthobunyavirus. The viral infection causes mild clinical signs: fever, reduced milk production and diarrhea, as well as considerable economic loss. There is currently no treatment or vaccine for infected animals. We aimed to design a peptide vaccine using an Immunoinformatics approach to stimulate the immune system and reduce the potentially negative effects of using live vaccines. In this study, a total of 47 strains of complete M polyprotein sequence (Gn/NSm/GC) and 61 strains of nonstructural protein in S segment (NSs) of Schmallenberg virus which were chosen for this study were taken from NCBI. Potentially continuous B and T cell epitopes were predicted using tools from immune epitope data base analysis resource (IEDB-AR). We found that Gn and Gc regions of M polyprotein in SBV were clearly suitable and could be used for the preparation of immunological constructs. Our studies suggest that: B cell epitope 764QQQACSS770 and CTL epitopes 251YMYNKYFKL259, 46SECCVKDDI54 and 234IVYVFIPIF242 could be used as a potential vaccine candidate against SBV. We consider this study distinctive because no research ever dealt with peptide-based vaccines on virulent strains of SBV using an in silico approach.
3
In Silico Modeling and Identification of Novel Epitopes-based Vaccine of M polyprotein (Gn/Gc) against Schmallenberg Virus for Ruminants (2016)
DE PB NW
ISBN: 9783668335295 bzw. 366833529X, in Deutsch, GRIN Publishing, Taschenbuch, neu.
Lieferung aus: Schweiz, Versandfertig innert 6 - 9 Tagen.
In Silico Modeling and Identification of Novel Epitopes-based Vaccine of M polyprotein (Gn/Gc) against Schmallenberg Virus for Ruminants, Research Paper from the year 2016 in the subject Computer Science - Bioinformatics, language: English, abstract: Schmallenberg (SBV) is a new virus of the Bunyaviridae family within the genus Orthobunyavirus. The viral infection causes mild clinical signs: fever, reduced milk production and diarrhea, as well as considerable economic loss. There is currently no treatment or vaccine for infected animals. We aimed to design a peptide vaccine using an Immunoinformatics approach to stimulate the immune system and reduce the potentially negative effects of using live vaccines. In this study, a total of 47 strains of complete M polyprotein sequence (Gn/NSm/GC) and 61 strains of nonstructural protein in S segment (NSs) of Schmallenberg virus which were chosen for this study were taken from NCBI. Potentially continuous B and T cell epitopes were predicted using tools from immune epitope data base analysis resource (IEDB-AR). We found that Gn and Gc regions of M polyprotein in SBV were clearly suitable and could be used for the preparation of immunological constructs. Our studies suggest that: B cell epitope 764QQQACSS770 and CTL epitopes 251YMYNKYFKL259, 46SECCVKDDI54 and 234IVYVFIPIF242 could be used as a potential vaccine candidate against SBV. We consider this study distinctive because no research ever dealt with peptide-based vaccines on virulent strains of SBV using an in silico approach. Taschenbuch, 07.12.2016.
In Silico Modeling and Identification of Novel Epitopes-based Vaccine of M polyprotein (Gn/Gc) against Schmallenberg Virus for Ruminants, Research Paper from the year 2016 in the subject Computer Science - Bioinformatics, language: English, abstract: Schmallenberg (SBV) is a new virus of the Bunyaviridae family within the genus Orthobunyavirus. The viral infection causes mild clinical signs: fever, reduced milk production and diarrhea, as well as considerable economic loss. There is currently no treatment or vaccine for infected animals. We aimed to design a peptide vaccine using an Immunoinformatics approach to stimulate the immune system and reduce the potentially negative effects of using live vaccines. In this study, a total of 47 strains of complete M polyprotein sequence (Gn/NSm/GC) and 61 strains of nonstructural protein in S segment (NSs) of Schmallenberg virus which were chosen for this study were taken from NCBI. Potentially continuous B and T cell epitopes were predicted using tools from immune epitope data base analysis resource (IEDB-AR). We found that Gn and Gc regions of M polyprotein in SBV were clearly suitable and could be used for the preparation of immunological constructs. Our studies suggest that: B cell epitope 764QQQACSS770 and CTL epitopes 251YMYNKYFKL259, 46SECCVKDDI54 and 234IVYVFIPIF242 could be used as a potential vaccine candidate against SBV. We consider this study distinctive because no research ever dealt with peptide-based vaccines on virulent strains of SBV using an in silico approach. Taschenbuch, 07.12.2016.
4
Symbolbild
al., et
In Silico Modeling and Identification of Novel Epitopes-based Vaccine of M polyprotein (Gn/Gc) against Schmallenberg Virus for Ruminants (2017)
~EN PB NW RP
ISBN: 9783668335295 bzw. 366833529X, vermutlich in Englisch, GRIN Verlag, Taschenbuch, neu, Nachdruck.
Von Händler/Antiquariat, Ria Christie Collections [59718070], Uxbridge, United Kingdom.
PRINT ON DEMAND Book; New; Publication Year 2017; Not Signed; Fast Shipping from the UK.
PRINT ON DEMAND Book; New; Publication Year 2017; Not Signed; Fast Shipping from the UK.
5
In Silico Modeling and Identification of Novel Epitopes-based Vaccine of M polyprotein (Gn/Gc) against Schmallenberg Virus for Ruminants
~EN PB NW
ISBN: 366833529X bzw. 9783668335295, vermutlich in Englisch, GRIN Verlag, Taschenbuch, neu.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
6
In Silico Modeling and Identification of Novel Epitopes-based Vaccine of M polyprotein (Gn/Gc) against Schmallenberg Virus for Ruminants
~EN NW
ISBN: 366833529X bzw. 9783668335295, vermutlich in Englisch, neu.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
7
In Silico Modeling and Identification of Novel Epitopes-based Vaccine of M polyprotein (Gn/Gc) against Schmallenberg Virus for Ruminants (2016)
EN PB NW FE
ISBN: 9783668335295 bzw. 366833529X, in Englisch, 36 Seiten, GRIN Verlag, Taschenbuch, neu, Erstausgabe.
Lieferung aus: Deutschland, Gewöhnlich versandfertig in 2 bis 3 Tagen. Tatsächliche Versandkosten können abweichen.
Von Händler/Antiquariat, Books on Demand GmbH.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Von Händler/Antiquariat, Books on Demand GmbH.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
8
In Silico Modeling and Identification of Novel Epitopes-Based Vaccine of M Polyprotein (Gn/GC) Against Schmallenberg Virus for Ruminants
DE PB NW
ISBN: 9783668335295 bzw. 366833529X, in Deutsch, Taschenbuch, neu.
Lieferung aus: Vereinigtes Königreich Grossbritannien und Nordirland, 10-15 business days.
Lade…