Literature DB >> 23279875

Optimization of antimalarial activity of synthetic prodiginines: QSAR, GUSAR, and CoMFA analyses.

Vijay H Masand1, Devidas T Mahajan, Komalsing N Patil, Taibi B Hadda, Moulay H Youssoufi, Rahul D Jawarkar, Indira G Shibi.   

Abstract

In the present study, we have carried out extensive General Unrestricted Structure-Activity Relationships, conventional 3D-Quantitative Structure-Activity Relationships, and CoMFA analyses of synthetic prodiginines displaying moderate to high activities against Plasmodium Falciperum. 2D and 3D descriptors, various statistical parameters viz. R(2), R(2)(adj), standard error, Y-randomization, etc., were checked to build fruitful 3D-Quantitative Structure-Activity Relationships model. The best five parametric 3D-Quantitative Structure-Activity Relationships model is with R(2) = 0.924 and R(2)(pred) = 0.901. CoMFA was performed to check the electrostatic and steric regions, which affect the activity. The CoMFA model is graphically inferred using contour plots, which provide insight into the structural requirements for increasing the activity of a compound. The General Unrestricted Structure-Activity Relationships model, with R(2) = 0.940 and Q(2) = 0.912, suggests that the presence of F on aromatic ring is good for activity. The analyses reveal that lipophilicity plays a crucial role in deciding the activity for these molecules.
© 2012 John Wiley & Sons A/S.

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Year:  2013        PMID: 23279875     DOI: 10.1111/cbdd.12099

Source DB:  PubMed          Journal:  Chem Biol Drug Des        ISSN: 1747-0277            Impact factor:   2.817


  1 in total

1.  Indinavir and atazanavir; comparison of predicted property by chemoinformatics technique and implication on renal problem in HIV infected patients.

Authors:  Beuy Joob; Viroj Wiwanitkit
Journal:  J Nephropharmacol       Date:  2016-01-21
  1 in total

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