In silico anti-inflammatory activity of lavender (Lavandula officinalis) essential oil bioactive compounds: Molecular docking analysis of COX-1 and COX-2, and ADMET prediction

被引:0
|
作者
Boukhatem, Bouchra Sarah [1 ]
Belhadj, Abd-Elmouneim [1 ]
机构
[1] Univ Medea, Fac Technol, Lab Biomat & Transport Phenomena LBMPT, Medea 26000, Algeria
来源
AIMS ALLERGY AND IMMUNOLOGY | 2023年 / 7卷 / 02期
关键词
anti-inflammatory drugs; cyclo-oxygenase enzymes; Lavandula officinalis; essential oil; compounds; molecular docking; toxicity; ANTIOXIDANT; LIMONENE; CYCLOOXYGENASES; MODEL; ERK;
D O I
10.3934/Allergy.2023009
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
Advanced investigations are in action worldwide to find medications with improved safety profiles. Natural resources are essential in the creation of innovative treatments and drugs that have fewer side effects. The essential oil (EO) of lavender (Lavandula officinalis) is well-known in alternative and complementary therapies for its use as wound-healing and antimicrobial ingredients. However, the exact pharmacological and anti-inflammatory aspects of naturally produced lavender essential oil (LEO) compounds are still unknown. As a consequence, it is essential to explain LEO drug molecular docking experiments with cyclo-oxygenase enzymes (COX-1 and COX-2). An attempt was developed in this study to discover the anti-inflammatory activity of LEO bioactive components. The online DockThor server was used for in silico molecule docking simulation. Interaction studies of LEO compound binding poses with COX were performed to get an understanding of the interacting amino acids and their inter-molecular bondings. Based on physicochemical attributes and toxicity, the docked compounds with the greatest binding affinities were also investigated for drug similarity utilizing the admetSAR tool and PASS platforms. Molecular docking studies exploring the bioactive principle targeted action revealed that electrostatic interactions and H-bonds make the main causative factor in inter-molecular connections associated with anti-inflammatory action. Seven top-ranked compounds were selected by virtual screening. Molecular docking revealed that limonene has the highest negative binding affinity (-8.536 kcal/mol) in complex with COX-1, followed by alpha-terpineol (-8.535 kcal/mol) andp-cymene (-8.515 kcal/mol), while two approved anti-inflammatory drugs (celecoxib and betamethasone) produced -8.191 and -8.041 kcal/mol respectively. Similarly, these terpenes can be documented as promising drug candidates based on qualifying Lipinski's rule five. The selected terpenes showed excellent drug-like properties and a percentage of human oral absorption. Besides, it was found to be safe for the human body in toxicological risk assessment. This work gives insight into the anti-inflammatory mechanism of action of LEO terpenes. LEO drugs' pharmacokinetic data and molecular docking patterns may open the way for the development of new COX inhibitors with anti-inflammatory capability and improved pharmacokinetic and pharmacodynamic properties.
引用
收藏
页码:132 / 153
页数:22
相关论文
共 50 条
  • [21] In Silico Study of Neoagaro-Oligosaccharides (NAOS) Anti- Inflammatory Activity: Molecular Docking with iNOS and COX-2 Proteins
    Puspitasari, Pinki Anggrahini
    Pratitis, Visi Endah
    Wibowo, Syahputra
    Wijayanti, Nastiti
    Sofyantoro, Fajar
    PERTANIKA JOURNAL OF TROPICAL AGRICULTURAL SCIENCE, 2025, 48 (01): : 279 - 293
  • [22] Aryl/heteroaryl Substituted Celecoxib Derivatives as COX-2 Inhibitors: Synthesis, Anti-inflammatory Activity and Molecular Docking Studies
    Madhava, Golla
    Ramana, Katla V.
    Sudhana, Saddala M.
    Rao, Devineni S.
    Kumar, Kuntrapakam H.
    Lokanatha, Valluru
    Rani, Asupatri U.
    Raju, Chamarthi N.
    MEDICINAL CHEMISTRY, 2017, 13 (05) : 484 - 497
  • [23] Pharmacophore study, molecular docking and molecular dynamic simulation of virgin coconut oil derivatives as anti-inflammatory agent against COX-2
    Kho Swen Jack
    Mohd Razip Bin Asaruddin
    Showkat Ahmad Bhawani
    Chemical and Biological Technologies in Agriculture, 9
  • [24] In silico and ADMET molecular analysis targeted to discover novel anti-inflammatory drug candidates as COX-2 inhibitors from specific metabolites of Diospyros batokana (Ebenaceae)
    Chibuye, Bitwell
    Sen Singh, Indra
    Chimuka, Luke
    Maseka, Kenneth Kakoma
    BIOCHEMISTRY AND BIOPHYSICS REPORTS, 2024, 39
  • [25] Pharmacophore study, molecular docking and molecular dynamic simulation of virgin coconut oil derivatives as anti-inflammatory agent against COX-2
    Jack, Kho Swen
    Bin Asaruddin, Mohd Razip
    Bhawani, Showkat Ahmad
    CHEMICAL AND BIOLOGICAL TECHNOLOGIES IN AGRICULTURE, 2022, 9 (01)
  • [26] Selectivities of non-steroidal anti-inflammatory drugs as inhibitors of purified ovine COX-1 and COX-2: Effects of human plasma
    Bukasa, A
    Vojnovic, I
    Giuliano, F
    Saunders, M
    Mitchell, JA
    Warner, TD
    BRITISH JOURNAL OF PHARMACOLOGY, 1999, 126 : U83 - U83
  • [27] The Role of COX-1 and COX-2 in Alzheimer's Disease Pathology and the Therapeutic Potentials of Non-Steroidal Anti-Inflammatory Drugs
    Hoozemans, Jeroen J. M.
    O'Banion, M. Kerry
    CNS & NEUROLOGICAL DISORDERS-DRUG TARGETS, 2005, 4 (03) : 307 - 315
  • [28] Development of potential COX inhibitor as anti-inflammatory agents from leaves of Lantana camara by in-vitro analysis, molecular docking and ADMET prediction
    Vishwakarma, Rahul Kumar
    Negi, Aaysha
    Negi, Devendra Singh
    JOURNAL OF THE INDIAN CHEMICAL SOCIETY, 2022, 99 (10)
  • [29] Abortitristoside A and desrhamnosylverbanscoside: the potential COX-2 inhibitor from the leaves of Nyctanthes arbor-tristis as anti-inflammatory agents based on the in vitro assay, molecular docking and ADMET prediction
    Rahul Kumar Vishwakarma
    Devendra Singh Negi
    Aaysha Negi
    Chemical Papers, 2023, 77 : 3035 - 3049
  • [30] Abortitristoside A and desrhamnosylverbanscoside: the potential COX-2 inhibitor from the leaves of Nyctanthes arbor-tristis as anti-inflammatory agents based on the in vitro assay, molecular docking and ADMET prediction
    Vishwakarma, Rahul Kumar
    Negi, Devendra Singh
    Negi, Aaysha
    CHEMICAL PAPERS, 2023, 77 (06) : 3035 - 3049