Title:A Combination of Pharmacophore Generation, Ligand-based Virtual Screening, Atom-based 3D-QSAR, and Molecular Docking Studies on Febuxostat-based Amides Analogues as Anti-inflammatory Agents
Volume: 22
Issue: 1
Author(s): Trupti S. Chitre*, Aniket L. Bhatambrekar, Purvaj V. Hirode, Shubhangi B. Thorat, Sayli G. Hajare, Dinesh R. Garud, Sakshi M. Jagdale and Kalyani D. Asgaonkar
Affiliation:
- Department of Pharmaceutical Chemistry, AISSMS College of Pharmacy, Kennedy Road, Pune, Maharashtra,
India
Keywords:
Febuxostat, anti-inflammatory, common pharmacophore hypothesis, ligand-based virtual screening, 3D-QSAR, asinex database, schrodinger.
Abstract:
Background: A defence mechanism of the body includes inflammation. It is a process
through which the immune system identifies, rejects, and starts to repair foreign and damaging stimuli.
In the world, chronic inflammatory disorders are the leading cause of death.
Materials and Methods: To obtain optimized pharmacophore, previously reported febuxostat-
based anti-inflammatory amide derivatives series were subjected to pharmacophore hypothesis,
ligand-based virtual screening, and 3D-QSAR studies in the present work using Schrodinger
suite 2022-4. QuikProp module of Schrodinger was used for ADMET prediction, and HTVS, SP,
and XP protocols of GLIDE modules were used for molecular docking on target protein (PDB
ID:3LN1).
Result: Utilising 29 compounds, a five-point model of common pharmacophore hypotheses was
created, having pIC50 ranging between 5.34 and 4.871. The top pharmacophore hypothesis AHHRR_
1 model consists of one hydrogen bond acceptor, two hydrophobic groups and two ring substitution
features. The hypothesis model AHHRR_1 underwent ligand-based virtual screening using
the molecules from Asinex. Additionally, a 3D-QSAR study based on individual atoms was performed
to assess their contributions to model development. The top QSAR model was chosen
based on the values of R2 (0.9531) and Q2 (0.9424). Finally, four potential hits were obtained by
molecular docking based on virtual screening.
Conclusion: The virtual screen compounds have shown similar docking interaction with amino
acid residues as shown by standard diclofenac sodium drugs. Therefore, the findings in the present
study can be explored in the development of potent anti-inflammatory agents.