Exploring the biological potential of urea derivatives against mPGES-1: A combination of quantum mechanics, pharma cophore modelling and QSAR analyses

Malkeet Singh Bahia, Om Silakari

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

In the present molecular modelling study, recently discovered 36 selective urea derivatives were considered to develop pharmacophore based 3D-QSAR model coupled with quantum mechanics (QM) calculations to uncover the essential structural features of urea molecules for mPGES-1 inhibition. The 3D-QSAR model was selected on the basis of highest values of external predictability parameters i.e. Q2 (0.775) and Pearson-r (0.912). The model also showed the highest values of R2, 0.985; F-value, 306.3 and least SD, 0.147. The selected model was further validated for its external prediction power by calculating κ, κ′, Ro2 and R′o2. The contour maps generated against the selected QSAR model helped to interpret the important molecular sites of urea derivatives where the suitable structural modifications would help in better complementary fit to the active site of mPGES-1, in turn would improve the potency of newly designed molecules.

Original languageEnglish
Pages (from-to)138-151
Number of pages14
JournalMedicinal Chemistry
Volume9
Issue number1
DOIs
StatePublished - Feb 2013
Externally publishedYes

Keywords

  • Canvas
  • Inflammation
  • Jaguar
  • PHASE

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