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Relationship between intraocular pressure lowering effect and chemical structure of imidazo[1,2-a]benzimidazole and pyrimido[1,2-a]benzimidazole derivatives.
Vassiliev, Pavel; Iezhitsa, Igor; Agarwal, Renu; Marcus, Adrian Julian; Spasov, Alexander; Zhukovskaya, Olga; Anisimova, Vera.
Afiliação
  • Vassiliev P; Volgograd State Medical University, Research Institute of Pharmacology, Volgograd, Russia.
  • Iezhitsa I; Volgograd State Medical University, Research Institute of Pharmacology, Volgograd, Russia.
  • Agarwal R; Centre for Neuroscience Research, Faculty of Medicine, Universiti Teknologi MARA, Malaysia.
  • Marcus AJ; Centre for Neuroscience Research, Faculty of Medicine, Universiti Teknologi MARA, Malaysia.
  • Spasov A; Centre for Neuroscience Research, Faculty of Medicine, Universiti Teknologi MARA, Malaysia.
  • Zhukovskaya O; Volgograd State Medical University, Research Institute of Pharmacology, Volgograd, Russia.
  • Anisimova V; Southern Federal University, Research Institute of Physical and Organic Chemistry, Rostov-on-Don, Russia.
Data Brief ; 18: 340-347, 2018 Jun.
Article em En | MEDLINE | ID: mdl-29896521
ABSTRACT
This article contains data that relate to the study carried out in the work of Marcus et al. (2018) [1]. Data represent an information about pharmacophore analysis of imidazo[1,2-a]benzimidazole and pyrimido[1,2-a]benzimidazole derivatives and results of construction of the relationship between intraocular pressure (IOP) lowering activity and hypotensive activity of imidazo[1,2-a]benzimidazole and pyrimido[1,2-a]benzimidazole derivatives using a multilayer perceptron artificial neural network. In particular, they include the ones listed in this article 1) table of all pharmacophores of imidazo[1,2-a]benzimidazole and pyrimido[1,2-a]benzimidazole derivatives that showed IOP lowering activity; 2) table of all pharmacophores of the compounds that showed absence of IOP lowering activity; 3) table of initial data for artificial neural network analysis of relationship between IOP activity and hypotensive activity of this chemical series; 4) graphical representation of the best neural network model of this dependence; 5) original txt-file of results of pharmacophore analysis; 6) xls-file of initial data for neural network modeling; 7) original stw-file of results of neural network modeling; 8) original xml-file of the best neural network model of dependence between IOP lowering activity and hypotensive activity of these azole derivatives. The data may be useful for researchers interested in designing new drug substances and will contribute to understanding of the mechanisms of IOP lowering activity.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2018 Tipo de documento: Article