Literature DB >> 15158954

New hypoglycaemic agents selected by molecular topology.

C Calabuig1, G M Antón-Fos, J Gálvez, R García-Doménech.   

Abstract

New compounds showing hypoglycaemic activity have been designed through a computer aided method based on quantitative structure-activity relationship (QSAR) and molecular connectivity. After calculation of topological indices for a set of 89 compounds including active and inactive with regards to hypoglycaemic action, linear discriminant analysis was performed so that a useful model to predict such an activity was achieved. Later on, the discriminant model was applied on a huge database so that fourteen compounds were selected as potential new hypoglycaemics. From them, just five were finally selected for experimental test on expected hypoglycaemic activity. Among the selected compounds, l-arabitol, Acid blue 161, 1,4-butanediol diglycidil ether and Acid red 151 stand out, which are comparable in potency to standard drugs such as tolbutamide. Acid blue has a glycaemia profile similar to that of tolbutamide but does not lead to a severe hypoglycaemic condition, while the profile of the other agents is near normality. Copyright 2004 Elsevier B.V.

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Year:  2004        PMID: 15158954     DOI: 10.1016/j.ijpharm.2004.03.012

Source DB:  PubMed          Journal:  Int J Pharm        ISSN: 0378-5173            Impact factor:   5.875


  4 in total

1.  First computational chemistry multi-target model for anti-Alzheimer, anti-parasitic, anti-fungi, and anti-bacterial activity of GSK-3 inhibitors in vitro, in vivo, and in different cellular lines.

Authors:  Isela García; Yagamare Fall; Generosa Gómez; Humberto González-Díaz
Journal:  Mol Divers       Date:  2010-10-08       Impact factor: 2.943

2.  Genetic neural network modeling of the selective inhibition of the intermediate-conductance Ca2+ -activated K+ channel by some triarylmethanes using topological charge indexes descriptors.

Authors:  Julio Caballero; Miguel Garriga; Michael Fernández
Journal:  J Comput Aided Mol Des       Date:  2005-12-23       Impact factor: 3.686

3.  Using topological indices to predict anti-Alzheimer and anti-parasitic GSK-3 inhibitors by multi-target QSAR in silico screening.

Authors:  Isela García; Yagamare Fall; Generosa Gómez
Journal:  Molecules       Date:  2010-08-09       Impact factor: 4.411

4.  Molecular Topology for the Discovery of New Broad-Spectrum Antibacterial Drugs.

Authors:  Jose I Bueso-Bordils; Pedro A Alemán-López; Beatriz Suay-García; Rafael Martín-Algarra; Maria J Duart; Antonio Falcó; Gerardo M Antón-Fos
Journal:  Biomolecules       Date:  2020-09-19
  4 in total

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