3D QSAR of aminophenyl benzamide derivatives as histone deacetylase inhibitors.

Mahipal, Om Prakash Tanwar, C Karthikeyan, N S Hari Narayana Moorthy, Piyush Trivedi

School of Pharmaceutical Sciences, Rajiv Gandhi Proudyogiki Vishwavidyalaya, Airport Bypass Road, Gandhi Nagar, Bhopal, India.

Journal Article: Medicinal chemistry (Shāriqah (United Arab Emirates)) (impact factor: 1.64). 10/2010; 6(5):277-85.

Abstract

The article describes the development of a robust pharmacophore model and the investigation of structure activity relationship analysis of 48 aminophenyl benzamide derivatives reported for Histone Deacetylase (HDAC) inhibition using PHASE module of Schrodinger software. A five point pharmacophore model consisting of two aromatic rings (R), two hydrogen bond donors (D) and one hydrogen bond acceptor (A) with discrete geometries as pharmacophoric features was developed and the generated pharmacophore model was used to derive a predictive atom-based 3D QSAR model for the studied dataset. The obtained 3D QSAR model has an excellent correlation coefficient value (r(2)=0.99) along with good statistical significance as shown by high Fisher ratio (F=631.80). The model also exhibits good predictive power confirmed by the high value of cross validated correlation coefficient (q(2) = 0.85). The QSAR model suggests that hydrophobic character is crucial for the HDAC inhibitory activity exhibited by these compounds and inclusion of hydrophobic substituents will enhance the HDAC inhibition. In addition to the hydrophobic character, hydrogen bond donating groups positively contributes to the HDAC inhibition whereas electron withdrawing groups has a negative influence in HDAC inhibitory potency. The findings of the QSAR study provide a set of guidelines for designing compounds with better HDAC inhibitory potency.

Source: PubMed

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Keywords

48 aminophenyl benzamide derivatives
 
aromatic rings
 
discrete geometries
 
excellent correlation coefficient value
 
Fisher ratio
 
five point pharmacophore model
 
generated pharmacophore model
 
good statistical significance
 
HDAC inhibition
 
HDAC inhibitory activity exhibited
 
HDAC inhibitory potency
 
hydrogen bond acceptor
 
hydrogen bond donors
 
negative influence
 
obtained 3D QSAR model
 
predictive atom-based 3D QSAR model
 
QSAR model
 
robust pharmacophore model
 
Schrodinger software
 
studied dataset