Journal
JOURNAL OF COMPUTATIONAL BIOPHYSICS AND CHEMISTRY
Volume 22, Issue 1, Pages 77-97Publisher
WORLD SCIENTIFIC PUBL CO PTE LTD
DOI: 10.1142/S2737416523500059
Keywords
Docking; 2D-and 3D-QSAR; pharmacophore; virtual screening; 5-lipoxygenase-activating protein (FLAP); inflammation
Categories
Ask authors/readers for more resources
This study explored the structural requirements and identified potential new inhibitor scaffolds for 5-lipoxygenase-activating protein (FLAP) inhibitors. Docking studies revealed key binding interactions with specific residues in the FLAP-binding site. A ligand-based QSAR model was developed, showing statistically significant results. Additionally, two 2D-QSAR models were developed using a genetic function approximation. HypoGen 1 was used for database mining to identify potential new FLAP inhibitors.
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 (r(2) = 0.992), a cross-validated correlation coefficient (q(2) = 0.681) and a predictive squared correlation coefficient (r(2)pred = 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 (r(2) = 0.9369, q(2) = 0.889 and r(2) = 0.9679, q(2) = 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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available