Your browser doesn't support javascript.
loading
Molecular topology and QSAR multi-target analysis to boost the in silico research for fungicides in agricultural chemistry.
Zanni, Riccardo; Galvez-Llompart, Maria; Garcia-Pereira, Inma; Galvez, Jorge; Garcia-Domenech, Ramon.
Afiliação
  • Zanni R; Molecular Topology and Drug Design Unit, Department of Physical Chemistry, University of Valencia, Valencia, Spain.
  • Galvez-Llompart M; Microbiology and Plant Pathology-Unit (CSIC Associated), Department of Microbiology, Faculty of Sciences, University of Malaga, Malaga, Spain.
  • Garcia-Pereira I; Institute of Robotics and Information and Communication Technologies (IRTIC), University of Valencia, Valencia, Spain.
  • Galvez J; Molecular Topology and Drug Design Unit, Department of Physical Chemistry, University of Valencia, Valencia, Spain.
  • Garcia-Domenech R; Molecular Topology and Drug Design Unit, Department of Physical Chemistry, University of Valencia, Valencia, Spain. ramon.garcia@uv.es.
Mol Divers ; 23(2): 371-379, 2019 May.
Article em En | MEDLINE | ID: mdl-30284694
ABSTRACT
The aim of the present study is to show how molecular topology can be a powerful in silico tool for the prediction of the fungicidal activity of several diphenylamine derivatives against three fungal species (cucumber downy mildew, rice blast and cucumber gray mold). A multi-target QSAR model was developed, and two strategies were followed. First is the construction of a virtual library of molecules using DesMol2 program and a subsequent selection of potential active ones. Second is the selection of molecules from the literature on the basis of molecular scaffolds. More than 700 diphenylamine derivatives designed and other 60 fluazinam's derivatives with structural similarity higher than 80% were studied. Almost twenty percent of the molecules analyzed show potential activity against the three fungal species.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Modelos Moleculares / Fungicidas Industriais Tipo de estudo: Prognostic_studies Idioma: En Revista: Mol Divers Assunto da revista: BIOLOGIA MOLECULAR Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Espanha

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Modelos Moleculares / Fungicidas Industriais Tipo de estudo: Prognostic_studies Idioma: En Revista: Mol Divers Assunto da revista: BIOLOGIA MOLECULAR Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Espanha