Strategy for generation of new TACE inhibitors: Pharmacophore and counter pharmacophore modeling to remove non-selective hits

Malkeet Singh Bahia, Om Silakari

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Present study describes the ligand-based molecular modeling along with virtual screening (VS) approach for generation of new tumor necrosis factor-α converting enzyme (TACE) inhibitors. In ligand-based molecular modeling, two statistically reliable HipHop pharmacophore models Hip1 and counter pharmacophore (CP1) were generated using training set of 3 and 2 molecules, respectively. CP1 was generated using inhibitors of MMP-1 (matrix metalloproteinase-1), an important enzyme involved in musculoskeletal degradation. VS was performed with model Hip1 in in-house database of 1.2 million molecules. In addition, the retrieved molecules were screened with CP1. The combination of both models helped for generating new improved TACE inhibitor molecules.

Original languageEnglish
Pages (from-to)760-768
Number of pages9
JournalMedicinal Chemistry Research
Volume20
Issue number6
DOIs
StatePublished - Jul 2011
Externally publishedYes

Keywords

  • Counter pharmacophore
  • Pharmacophore modeling
  • Rheumatoid arthritis
  • TACE inhibitors

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