Design, Molecular Docking and QSAR Study for New Propionic Acid Derivatives

Authors

  • Sarah Sattar Jabbar Department of Pharmaceutical Chemistry, College of Pharmacy, University of Baghdad/Iraq
  • Tagreed N-A Omar Department of Pharmaceutical Chemistry, College of Pharmacy, University of Baghdad/Iraq
  • Mohammed Hassan Mohammed Department of Pharmaceutical Chemistry, College of Pharmacy, University of Baghdad/Iraq

DOI:

https://doi.org/10.31351/vol34iss4pp184-196

Abstract

          A series of conformationally constrained new Propionic acid derivatives were subjected to a synergistic integration of docking and quantitative structure-activity relationship (QSAR) techniques to optimize non-steroidal anti-inflammatory agents (NSAIDs). Examining the particular conditions for COX-2 inhibition selectivity among these congeners as selective cyclooxygenase-2 (COX-2) inhibitors was the aim of the study. The combination of these methodologies accelerates the identification and optimization of lead compounds, facilitating efficient prediction and screening of compound libraries. This integrated approach not only expedites drug discovery but also provides a rational foundation for the design of novel molecules with desired pharmacological activities, particularly in the context of NSAIDs and similar therapeutic agents

How to Cite

1.
Sarah Sattar Jabbar, Tagreed N-A Omar, Mohammed Hassan Mohammed. Design, Molecular Docking and QSAR Study for New Propionic Acid Derivatives. Iraqi Journal of Pharmaceutical Sciences [Internet]. 2025 Dec. 20 [cited 2025 Dec. 22];34(4):184-96. Available from: https://www.bijps.uobaghdad.edu.iq/index.php/bijps/article/view/3702

Publication Dates

Received

2024-05-01

Revised

2024-07-05

Accepted

2024-12-26

Published Online First

2025-12-20

References

Limongelli V, Bonomi M, Marinelli L, Gervasio FL, Cavalli A, Novellino E, et al. Molecular basis of cyclooxygenase enzymes (COXs) selective inhibition. Proc Natl Acad Sci U S A. 2010;107(12):5411–6.

Penning TD, Talley JJ, Bertenshaw SR, Carter JS, Collins PW, Docter S, et al. Synthesis and biological evaluation of the 1,5-diarylpyrazole class of cyclooxygenase-2 inhibitors: Identification of 4-[5-(4-methylphenyl)- 3(trifluoromethyl)-1h-pyrazol-1-yl]benzenesulfonamide (sc-58635, celecoxib). J Med Chem. 1997;40(9):1347–65.

Yang X, Ma N, Szabolcs MJ, Zhong J, Athan E, Sciacca RR, et al. Upregulation of COX-2 during cardiac allograft rejection. Circulation. 2000;101(4):430–8.

Talley JJ, Bertenshaw SR, Brown DL, Carter JS, Graneto MJ, Kellogg MS, et al. N-[[(5-methyl-3-phenylisoxazol-4-yl)phenyl] sulfonyl]propanamide, sodium salt, parecoxib sodium: A potent and selective inhibitor of COX-2 for parenteral administration. J Med Chem. 2000;43(9):1661–3.

Micklewright R, Lane S, Linley W, McQuade C, Thompson F, Maskrey N. Review article: NSAIDs, gastroprotection and cyclo-oxygenase-II-selective inhibitors. Aliment Pharmacol Ther. 2003;17(3):321–32.

Hegazy GH, Ali HI. Design, synthesis, biological evaluation, and comparative Cox1 and Cox2 docking of p-substituted benzylidenamino phenyl esters of ibuprofenic and mefenamic acids. Bioorganic Med Chem [Internet]. 2012;20(3):1259–70. Available from: http://dx.doi.org/10.1016/j.bmc.2011.12.030

Zheng M, Zhang Z, Zhu W, Liu H, Luo X, Chen K, et al. Essential structural profile of a dual functional inhibitor against cyclooxygenase-2 (COX-2) and 5-lipoxygenase (5-LOX): Molecular docking and 3D-QSAR analyses on DHDMBF analogues. Bioorganic Med Chem. 2006;14(10):3428–37.

Ruusmann V, Sild S, Maran U. QSAR DataBank - An approach for the digital organization and archiving of QSAR model information. J Cheminform. 2014;6(1):1–17.

Agarwal S, Mehrotra R. Mini Review_ An overview of Molecular Docking. JSM Chem [Internet]. 2016;4(2):1024–8. Available from: https://www.researchgate.net/profile/Shweta-Agarwal-7/publication/303897563_Mini_Review_An_overview_of_Molecular_Docking/links/575b9fb108aed884620da00a/Mini-Review-An-overview-of-Molecular-Docking.pdf

Ai S, Lin G, Bai Y, Liu X, Piao L. QSAR classification-based virtual screening followed by molecular docking identification of potential COX-2 inhibitors in a natural product library. J Comput Biol. 2019;26(11):1296–315.

Pandya PN, Kumar SP, Bhadresha K, Patel CN, Patel SK, Rawal RM, et al. Identification of promising compounds from curry tree with cyclooxygenase inhibitory potential using a combination of machine learning, molecular docking, dynamics simulations and binding free energy calculations. Mol Simul [Internet]. 2020;46(11):812–22. Available from: https://doi.org/10.1080/08927022.2020.1764552

Dibia KT, Igbokwe PK, Ezemagu GI, Asadu CO. Exploration of the quantitative Structure-Activity relationships for predicting Cyclooxygenase-2 inhibition bioactivity by Machine learning approaches. Results Chem [Internet]. 2022;4(October 2021):100272. Available from: https://doi.org/10.1016/j.rechem.2021.100272

Bittencourt JAHM, Neto MFA, Lacerda PS, Bittencourt RCVS, Silva RC, Lobato CC, et al. In silico evaluation of ibuprofen and two benzoylpropionic acid derivatives with potential anti-inflammatory activity. Molecules. 2019;24(8).

Manivannan E, Chaturvedi SC. QSAR analysis of centrally fused 1,5-diaryl pyrazoles for cyclooxygenase inhibition using MOE-Qua-SAR descriptors. Med Chem Res. 2009;18(5):396–405.

Dastmalchi S, Hamzeh-Mivehroud M, Asadpour-Zeynali K. Comparison of different 2D and 3D-QSAR methods on activity prediction of histamine H3 receptor antagonists. Iran J Pharm Res. 2012;11(1):97–108.

Sharma V, Bhatia P, Alam O, Javed Naim M, Nawaz F, Ahmad Sheikh A, et al. Recent advancement in the discovery and development of COX-2 inhibitors: Insight into biological activities and SAR studies (2008–2019). Bioorg Chem [Internet]. 2019;89:103007. Available from: https://doi.org/10.1016/j.bioorg.2019.103007

Rayar AM, Lagarde N, Ferroud C, Zagury JF, Montes M, Sylla-Iyarreta Veitia M. Update on COX-2 Selective Inhibitors: Chemical Classification, Side Effects and their Use in Cancers and Neuronal Diseases. Curr Top Med Chem. 2017;17(26).

18.Orlando BJ, Lucido MJ, Malkowski MG. The structure of ibuprofen bound to cyclooxygenase-2. J Struct Biol [Internet]. 2015;189(1):62–6. Available from: http://dx.doi.org/10.1016/j.jsb.2014.11.005

Searle GD, Parkway NC, Louis S. F ~ C. 1996;6(23):2827–30.

Madrigal DA, Escalante CH, Gutiérrez-Rebolledo GA, Cristobal-Luna JM, Gómez-García O, Hernández-Benitez RI, et al. Synthesis and highly potent anti-inflammatory activity of licofelone- and ketorolac-based 1-arylpyrrolizin-3-ones. Bioorganic Med Chem [Internet]. 2019;27(20):115053. Available from: https://doi.org/10.1016/j.bmc.2019.115053

Evaluation D. in the Management of Rheumatic Diseases Tiaprofenic Acid. 1995;50(6):1050–75.

Calcagno C, Lobatto ME, Robson PM, Millon A. Oxicams, a Class of NSAIDs and beyond. IUBMB Life. 2016;28(10):1304–14.

Vilar S, Cozza G, Moro S. Medicinal Chemistry and the Molecular Operating Environment (MOE): Application of QSAR and Molecular Docking to Drug Discovery. Curr Top Med Chem. 2008;8(18):1555–72.

Jabbar SS, Mohammed MH. Design, Synthesis, Insilco Study and Biological Evaluation of New Coumarin-Oxadiazole Derivatives as Potent Histone Deacetylase Inhibitors. Egypt J Chem. 2023;66(2):385–93.

Jack KS, Asaruddin MR Bin, Bhawani SA. Pharmacophore study, molecular docking and molecular dynamic simulation of virgin coconut oil derivatives as anti-inflammatory agent against COX-2. Chem Biol Technol Agric [Internet]. 2022;9(1):1–26. Available from: https://doi.org/10.1186/s40538-022-00340-0

Kim HJ, Chae CH, Yi KY, Park KL, Yoo SE. Computational studies of COX-2 inhibitors: 3D-QSAR and docking. Bioorganic Med Chem. 2004;12(7):1629–41.

Winfield LL, Inniss TR, Smith DM. Structure activity relationship of antiproliferative agents using multiple linear regression. Chem Biol Drug Des. 2009;74(3):309–16.

Downloads

Published

2025-12-20

Issue

Section

Article