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| Verfasst von: | Schmidt, Hanno [VerfasserIn]  |
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| | Mauer, Katharina [VerfasserIn] |
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| | Glaser, Manuel [VerfasserIn] |
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| | Dezfuli, Bahram Sayyaf [VerfasserIn] |
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| | Hellmann, Sören Lukas [VerfasserIn] |
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| | Silva Gomes, Ana Lúcia [VerfasserIn] |
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| | Butter, Falk [VerfasserIn] |
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| | Wade, Rebecca C. [VerfasserIn] |
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| | Hankeln, Thomas [VerfasserIn] |
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| | Herlyn, Holger [VerfasserIn] |
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| Titel: | Identification of antiparasitic drug targets using a multi-omics workflow in the acanthocephalan model |
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| Verf.angabe: | Hanno Schmidt, Katharina Mauer, Manuel Glaser, Bahram Sayyaf Dezfuli, Sören Lukas Hellmann, Ana Lúcia Silva Gomes, Falk Butter, Rebecca C. Wade, Thomas Hankeln and Holger Herlyn |
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| E-Jahr: | 2022 |
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| Jahr: | 30 September 2022 |
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| Umfang: | 16 S. |
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| Fussnoten: | Gesehen am 10.01.2023 |
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| Titel Quelle: | Enthalten in: BMC genomics |
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| Ort Quelle: | London : BioMed Central, 2000 |
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| Jahr Quelle: | 2022 |
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| Band/Heft Quelle: | 23(2022), Artikel-ID 677, Seite 1-16 |
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| ISSN Quelle: | 1471-2164 |
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| Abstract: | With the expansion of animal production, parasitic helminths are gaining increasing economic importance. However, application of several established deworming agents can harm treated hosts and environment due to their low specificity. Furthermore, the number of parasite strains showing resistance is growing, while hardly any new anthelminthics are being developed. Here, we present a bioinformatics workflow designed to reduce the time and cost in the development of new strategies against parasites. The workflow includes quantitative transcriptomics and proteomics, 3D structure modeling, binding site prediction, and virtual ligand screening. Its use is demonstrated for Acanthocephala (thorny-headed worms) which are an emerging pest in fish aquaculture. We included three acanthocephalans (Pomphorhynchus laevis, Neoechinorhynchus agilis, Neoechinorhynchus buttnerae) from four fish species (common barbel, European eel, thinlip mullet, tambaqui). |
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| DOI: | doi:10.1186/s12864-022-08882-1 |
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| URL: | Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.
Volltext: https://doi.org/10.1186/s12864-022-08882-1 |
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| | Volltext: https://bmcgenomics.biomedcentral.com/articles/10.1186/s12864-022-08882-1 |
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| | DOI: https://doi.org/10.1186/s12864-022-08882-1 |
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| Datenträger: | Online-Ressource |
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| Sprache: | eng |
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| Sach-SW: | Active ingredients |
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| | Anthelmintics |
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| | Medical genomics |
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| | Parasites |
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| | Target molecule |
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| | Virtual ligand screening |
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| K10plus-PPN: | 1830611682 |
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| Verknüpfungen: | → Zeitschrift |
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Identification of antiparasitic drug targets using a multi-omics workflow in the acanthocephalan model / Schmidt, Hanno [VerfasserIn]; 30 September 2022 (Online-Ressource)
