Submit Manuscript  

Article Details


In-silico Studies of Isolated Phytoalkaloid Against Lipoxygenase: Study Based on Possible Correlation

[ Vol. 21 , Issue. 3 ]

Author(s):

Haroon Khan*, Muhammad Zafar, Helena Den-Haan, Horacio Perez-Sanchez and Mohammad Amjad Kamal   Pages 215 - 221 ( 7 )

Abstract:


Aim and Objective: Lipoxygenase (LOX) enzymes play an important role in the pathophysiology of several inflammatory and allergic diseases including bronchial asthma, allergic rhinitis, atopic dermatitis, allergic conjunctivitis, rheumatoid arthritis and chronic obstructive pulmonary disease. Inhibitors of the LOX are believed to be an ideal approach in the treatment of diseases caused by its over-expression. In this regard, several synthetic and natural agents are under investigation worldwide. Alkaloids are the most thoroughly investigated class of natural compounds with outstanding past in clinically useful drugs. In this article, we have discussed various alkaloids of plant origin that have already shown lipoxygenase inhibition in-vitro with possible correlation in in silico studies.

Materials and Methods: Molecular docking studies were performed using MOE (Molecular Operating Environment) software. Among the ten reported LOX alkaloids inhibitors, derived from plant, compounds 4, 2, 3 and 1 showed excellent docking scores and receptor sensitivity.

Result and Conclusion: These compounds already exhibited in vitro lipoxygenase inhibition and the MOE results strongly correlated with the experimental results. On the basis of these in vitro assays and computer aided results, we suggest that these compounds need further detail in vivo studies and clinical trial for the discovery of new more effective and safe lipoxygenase inhibitors. In conclusion, these results might be useful in the design of new and potential lipoxygenase (LOX) inhibitors.

Keywords:

Plant alkaloids, Lipoxygenase, inhibition, molecular docking, in silico, natural compound.

Affiliation:

Department of Pharmacy, Abdul Wali Khan University Mardan, Mardan 23200, Department of Pharmacy, Abdul Wali Khan University Mardan, Mardan 23200, Bioinformatics and High Performance Computing Research Group (BIO-HPC), Universidad Catolica San Antonio de Murcia (UCAM), Murcia, Bioinformatics and High Performance Computing Research Group (BIO-HPC), Universidad Catolica San Antonio de Murcia (UCAM), Murcia, King Fahd Medical Research Center, King Abdulaziz University, Jeddah 21589



Read Full-Text article