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Amino substituted nitrogen heterocycle ureas as kinase insert domain containing receptor (KDR) inhibitors: Performance of structure–activity relationship approaches

A quantitative structure–activity relationship (QSAR) study was performed on a set of amino-substituted nitrogen heterocyclic urea derivatives. Two novel approaches were applied: (1) the simplified molecular input-line entry systems (SMILES) based optimal descriptors approach; and (2) the fragment-b...

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Detalles Bibliográficos
Autores principales: Yilmaz, Hayriye, Sizochenko, Natalia, Rasulev, Bakhtiyor, Toropov, Andrey, Guzel, Yahya, Kuz’min, Viktor, Leszczynska, Danuta, Leszczynski, Jerzy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taiwan Food and Drug Administration 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9351780/
https://www.ncbi.nlm.nih.gov/pubmed/28911371
http://dx.doi.org/10.1016/j.jfda.2015.03.001
Descripción
Sumario:A quantitative structure–activity relationship (QSAR) study was performed on a set of amino-substituted nitrogen heterocyclic urea derivatives. Two novel approaches were applied: (1) the simplified molecular input-line entry systems (SMILES) based optimal descriptors approach; and (2) the fragment-based simplex representation of molecular structure (SiRMS) approach. Comparison with the classic scheme of building up the model and balance of correlation (BC) for optimal descriptors approach shows that the BC scheme provides more robust predictions than the classic scheme for the considered pIC(50) of the heterocyclic urea derivatives. Comparison of the SMILES-based optimal descriptors and SiRMS approaches has confirmed good performance of both techniques in prediction of kinase insert domain containing receptor (KDR) inhibitory activity, expressed as a logarithm of inhibitory concentration (pIC50) of studied compounds.