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Sparse Neural Network Models of Antimicrobial Peptide-Activity Relationships.
Müller, Alex T; Kaymaz, Aral C; Gabernet, Gisela; Posselt, Gernot; Wessler, Silja; Hiss, Jan A; Schneider, Gisbert.
Afiliación
  • Müller AT; Swiss Federal Institute of Technology (ETH), Department of Chemistry and Applied Biosciences, Vladimir-Prelog-Weg 4, CH-8093, Zurich, Switzerland.
  • Kaymaz AC; Swiss Federal Institute of Technology (ETH), Department of Chemistry and Applied Biosciences, Vladimir-Prelog-Weg 4, CH-8093, Zurich, Switzerland.
  • Gabernet G; Swiss Federal Institute of Technology (ETH), Department of Chemistry and Applied Biosciences, Vladimir-Prelog-Weg 4, CH-8093, Zurich, Switzerland.
  • Posselt G; Department of Molecular Biology, Division of Microbiology, Paris Lodron, University of Salzburg, Billrothstr. 11, A-5020, Salzburg, Austria.
  • Wessler S; Department of Molecular Biology, Division of Microbiology, Paris Lodron, University of Salzburg, Billrothstr. 11, A-5020, Salzburg, Austria.
  • Hiss JA; Swiss Federal Institute of Technology (ETH), Department of Chemistry and Applied Biosciences, Vladimir-Prelog-Weg 4, CH-8093, Zurich, Switzerland.
  • Schneider G; Swiss Federal Institute of Technology (ETH), Department of Chemistry and Applied Biosciences, Vladimir-Prelog-Weg 4, CH-8093, Zurich, Switzerland.
Mol Inform ; 35(11-12): 606-614, 2016 12.
Article en En | MEDLINE | ID: mdl-27870247
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 3_ND Problema de salud: 3_neglected_diseases / 3_zoonosis Asunto principal: Péptidos Catiónicos Antimicrobianos / Antibacterianos Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Mol Inform Año: 2016 Tipo del documento: Article País de afiliación: Suiza
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 3_ND Problema de salud: 3_neglected_diseases / 3_zoonosis Asunto principal: Péptidos Catiónicos Antimicrobianos / Antibacterianos Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Mol Inform Año: 2016 Tipo del documento: Article País de afiliación: Suiza