Identification of novel 5-lipoxygenase-activating protein (FLAP) inhibitors by an integrated method of pharmacophore virtual screening, docking, QSAR and ADMET analyses

Rullah, Kamal and Roney, Miah and Zalikha, Ibrahim and Nur Farisya, Shamsudin and Deri, Islami and Qamar Uddin, Ahmed and Kok, Wai Lam and Mohd Fadhlizil Fasihi, Mohd Aluwi (2023) Identification of novel 5-lipoxygenase-activating protein (FLAP) inhibitors by an integrated method of pharmacophore virtual screening, docking, QSAR and ADMET analyses. Journal of Computational Biophysics and Chemistry, 22 (1). 77 -97. ISSN 2737-4173. (Published)

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Abstract

This study explored a series of reported 5-lipoxygenase-activating protein (FLAP) inhibitors to understand their structural requirements and identify potential new inhibitor scaffolds through automated unbiased procedures. Docking studies have revealed that inhibitor binding affinity can be influenced by several key binding interactions with Phe114 and Lys116 from chain B and Val21, Phe25, His28 and Lys29 from chain C in the FLAP-binding site. A ligand-based alignment three-dimensional (3D)-quantitative structure-activity relationship (QSAR) was adopted, resulting in a robust model with a statistically significant noncross validated coefficient (r2=0.992), a cross-validated correlation coefficient (q2=0.681) and a predictive squared correlation coefficient (rpred2=0.736). Overall, the analysis revealed the important electrostatic and steric attributes responsible for the FLAP inhibitory activity, which appeared to correlate well with the docking results. In addition, two statistically significant two-dimensional (2D)-QSAR models (r2=0.9369, q2=0.889 and r2=0.9679, q2=0.655) were developed by a genetic function approximation (GFA). HypoGen 1, a proposed pharmacophore model, was used for database mining to identify potential new FLAP inhibitors. The bioactivity of the retrieved hits was then evaluated in silico based on the validated QSAR models, followed by pharmacokinetics and toxicity predictions.

Item Type: Article
Additional Information: Indexed by Scopus
Uncontrolled Keywords: 2D- and 3D-QSAR; 5-lipoxygenase-activating protein (FLAP); Docking; inflammation; pharmacophore; virtual screening
Subjects: Q Science > Q Science (General)
Q Science > QD Chemistry
T Technology > TP Chemical technology
Faculty/Division: Faculty of Industrial Sciences And Technology
Institute of Postgraduate Studies
Depositing User: Mrs Norsaini Abdul Samat
Date Deposited: 16 Jan 2024 07:15
Last Modified: 16 Jan 2024 07:15
URI: http://umpir.ump.edu.my/id/eprint/40039
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