Elaboration of new anti-inflammatory agents using pharmacophore based 3D QSAR of 4, 5-diaryl imidazoline as P2X 7 receptor antagonists

Nisha Mehta, Sukhvir Chand, Malkeet Singh Bahia, Om Silakari

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Present work describes the atom based 3D QSAR analysis using pharmacophore based alignment to explore the essential three dimensional structural feature requirements of study molecules for better antagonism of P2X7 receptor. The best pharmacophore model (HPRRR.13) was developed and used to align study molecules for 3D QSAR analysis. The best QSAR model (HPRRR.13 4) generated with PLS factor 4 showed good values of statistical parameters i.e. R 2 training, SD, F-value, q 2 test, and Pearson-r test. Moreover, the contours of different properties generated using best model were able to explain the variation in the activity of dataset with respect to these properties. The best pharmacophore model was subjected to screen in-house database where it picks some molecules that are reported as COX-2 inhibitors in the literature. Therefore, generated pharmacophore based 3D QSAR model may successfully be used to design new potent congener representatives

Original languageEnglish
Pages (from-to)185-198
Number of pages14
JournalLetters in Drug Design and Discovery
Volume9
Issue number2
DOIs
StatePublished - Feb 2012
Externally publishedYes

Keywords

  • Atom based 3D QSAR
  • P2X receptor antagonists
  • PHASE
  • Pharmacophore
  • Rheumatoid arthritis
  • Schrodinger

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