title: Lipoxygenase directed anti-inflammatory and anti-cancerous secondary metabolites: ADMET-based screening, molecular docking and dynamics simulation.
abstract: Lipoxygenases (LOXs), key enzymes involved in the biosynthesis of leukotrienes, are well known to participate in the inflammatory and immune responses. With the recent reports of involvement of 5-LOX (one of the isozymes of LOX in human) in cancer, there is a need to find out selective inhibitors of 5-LOX for their therapeutic application. In the present study, plant-derived 300 anti-inflammatory and anti-cancerous secondary metabolites (100 each of alkaloids, flavonoids and terpenoids) have been screened for their pharmacokinetic properties and subsequently docked for identification of potent inhibitors of 5-LOX. Pharmacokinetic analyses revealed that only 18 alkaloids, 26 flavonoids, and 9 terpenoids were found to fulfill all the absorption, distribution, metabolism, excretion, and toxicity descriptors as well as those of Lipinski's Rule of Five. Docking analyses of pharmacokinetically screened metabolites and their comparison with a known inhibitor (drug), namely zileuton revealed that only three alkaloids, six flavonoids and three terpenoids were found to dock successfully with 5-LOX with the flavonoid, velutin being the most potent inhibitor among all. The results of the docking analyses were further validated by performing molecular dynamics simulation and binding energy calculations for the complexes of 5-LOX with velutin, galangin, chrysin (in order of LibDock scores), and zileuton. The data revealed stabilization of all the complexes within 15 ns of simulation with velutin complex exhibiting least root-mean-square deviation value (.285 ± .007 nm) as well as least binding energy (ΔGbind= -203.169 kJ/mol) as compared to others during the stabilization phase of simulation.
authors.affiliation: a Bioinformatics Infrastructure Facility, Center of Excellence in Bioinformatics, Department of Biochemistry , University of Lucknow , Lucknow 226007 , Uttar Pradesh , India.
authors.forename: Swati
authors.initials: S
authors.lastname: Singh
authors.affiliation: a Bioinformatics Infrastructure Facility, Center of Excellence in Bioinformatics, Department of Biochemistry , University of Lucknow , Lucknow 226007 , Uttar Pradesh , India.
authors.forename: Manika
authors.initials: M
authors.lastname: Awasthi
authors.affiliation: a Bioinformatics Infrastructure Facility, Center of Excellence in Bioinformatics, Department of Biochemistry , University of Lucknow , Lucknow 226007 , Uttar Pradesh , India.
authors.forename: Veda P
authors.initials: VP
authors.lastname: Pandey
authors.affiliation: a Bioinformatics Infrastructure Facility, Center of Excellence in Bioinformatics, Department of Biochemistry , University of Lucknow , Lucknow 226007 , Uttar Pradesh , India.
authors.forename: Upendra N
authors.initials: UN
authors.lastname: Dwivedi
mesh_terms: D000893:Anti-Inflammatory Agents / Q000737:chemistry*; D000970:Antineoplastic Agents / Q000737:chemistry*; D001665:Binding Sites; D020134:Catalytic Domain; D015195:Drug Design; D006801:Humans; D006860:Hydrogen Bonding; D008084:Lipoxygenase / Q000737:chemistry* / Q000378:metabolism; D062105:Molecular Docking Simulation; D056004:Molecular Dynamics Simulation; D011485:Protein Binding; D011487:Protein Conformation; D064210:Secondary Metabolism; D012995:Solubility
chemical_list: D000893:Anti-Inflammatory Agents; D000970:Antineoplastic Agents; D008084:Lipoxygenase
keywords: ADMET; binding free energy; cancer; lipoxygenase; molecular docking and dynamics simulation