Literature DB >> 22564166

QSAR and pharmacophore analysis of a series of piperidinyl urea derivatives as HERG blockers and H3 antagonists.

N S Hari Narayana Moorthy1, Maria J Ramos, Pedro A Fernandes.   

Abstract

In the present study, a computational based pharmacophore and structural analysis were performed on a series of piperidinyl urea derivatives, a limited number of compounds which have variation in structures and activities that exhibit hERG blocking and H3 antagonistic activities. The conducted QSAR studies demonstrated that the developed models are statistically significant, which have been confirmed through validation. The Q2 values for the models developed with hERG blocking activity are > 0.8 and with the H3 antagonistic activity are > 0.6. The descriptors contributed in the models show that the distributed polar properties on the vdW surface of the molecules are important for the hERG blocking activity. The vsurf_ descriptors (surface area, volume and shape) such as vsurf_DD13 and vsurf_Wp4 correlate with the H3 antagonistic activity of these compounds. The distances between the pharmacophore sites were measured in order to confirm their significance to the activities. The results reveal that the acceptor (acc), donor (don), hydrophobic (hyd) and aromatic/hydrophobic (aro/hyd) pharmacophore properties are favorable contours sites for both the activities. Also, our study reveals that the distance between the polar contours (acc, don, etc) has to be small for better hERG blocking activity. The distances between the aro/hyd to the polar groups should be higher for better hERG blocking activity. However, the H3 antagonistic activity for these series depends upon hydrophobic property of the molecules, particularly the hyd and the hyd/aro contours of the molecules. Hence, these results reveal the requirements on the structural properties and the distances between the pharmacophore contour sites of the molecules responsible for their hERG and H3 antagonistic activities.

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Year:  2013        PMID: 22564166     DOI: 10.2174/157016313804998889

Source DB:  PubMed          Journal:  Curr Drug Discov Technol        ISSN: 1570-1638


  2 in total

1.  Tuning HERG out: antitarget QSAR models for drug development.

Authors:  Rodolpho C Braga; Vinicius M Alves; Meryck F B Silva; Eugene Muratov; Denis Fourches; Alexander Tropsha; Carolina H Andrade
Journal:  Curr Top Med Chem       Date:  2014       Impact factor: 3.295

Review 2.  QSAR Modeling of Histamine H3R Antagonists/inverse Agonists as Future Drugs for Neurodegenerative Diseases.

Authors:  Michelle Fidelis Correa; Joao Paulo Dos Santos Fernandes
Journal:  Curr Neuropharmacol       Date:  2018       Impact factor: 7.363

  2 in total

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