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CDFT-Based Reactivity Descriptors as a Useful MEDT Chemoinformatics Tool for the Study of the Virotoxin Family of Fungal Peptides.
Flores-Holguín, Norma; Frau, Juan; Glossman-Mitnik, Daniel.
Affiliation
  • Flores-Holguín N; Laboratorio Virtual NANOCOSMOS, Departamento de Medio Ambiente y Energía, Centro de Investigación en Materiales Avanzados, Miguel de Cervantes 120, Complejo Industrial Chihuahua, Chihuahua, Chih 31136, Mexico.
  • Frau J; Departament de Química, Universitat de les Illes Balears, 07122 Palma de Mallorca, Spain.
  • Glossman-Mitnik D; Laboratorio Virtual NANOCOSMOS, Departamento de Medio Ambiente y Energía, Centro de Investigación en Materiales Avanzados, Miguel de Cervantes 120, Complejo Industrial Chihuahua, Chihuahua, Chih 31136, Mexico. daniel.glossman@cimav.edu.mx.
Molecules ; 24(15)2019 Jul 25.
Article in En | MEDLINE | ID: mdl-31349587
Virotoxins are monocyclic peptides formed by at least five different compounds: alaviroidin, viroisin, deoxoviroisin, viroidin and deoxovirodin. These are toxic peptides singularly found in Amanita virosa mushrooms. Here we perform computational studies on the structural and electronic conformations of these peptides using the MN12SX/Def2TZVP/H2O chemistry model to investigate their chemical reactivity. CDFT-based descriptors (for Conceptual Density Functional Theory) (e.g., Parr functions and Nucleophilicity) are also considered. At the same time, other properties (e.g., pKas) will be determined and used to study virotoxins solubility and to inform decisions about repurposing these agents in medicinal chemistry.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Peptides, Cyclic / Fungal Proteins / Density Functional Theory / Cheminformatics / Models, Chemical Type of study: Prognostic_studies Language: En Journal: Molecules Journal subject: BIOLOGIA Year: 2019 Document type: Article Affiliation country: Mexico Country of publication: Switzerland

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Peptides, Cyclic / Fungal Proteins / Density Functional Theory / Cheminformatics / Models, Chemical Type of study: Prognostic_studies Language: En Journal: Molecules Journal subject: BIOLOGIA Year: 2019 Document type: Article Affiliation country: Mexico Country of publication: Switzerland