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Lipoxygenase directed anti-inflammatory and anti-cancerous secondary metabolites: ADMET-based screening, molecular docking and dynamics simulation.
Singh, Swati; Awasthi, Manika; Pandey, Veda P; Dwivedi, Upendra N.
Afiliación
  • Singh S; a Bioinformatics Infrastructure Facility, Center of Excellence in Bioinformatics, Department of Biochemistry , University of Lucknow , Lucknow 226007 , Uttar Pradesh , India.
  • Awasthi M; a Bioinformatics Infrastructure Facility, Center of Excellence in Bioinformatics, Department of Biochemistry , University of Lucknow , Lucknow 226007 , Uttar Pradesh , India.
  • Pandey VP; a Bioinformatics Infrastructure Facility, Center of Excellence in Bioinformatics, Department of Biochemistry , University of Lucknow , Lucknow 226007 , Uttar Pradesh , India.
  • Dwivedi UN; a Bioinformatics Infrastructure Facility, Center of Excellence in Bioinformatics, Department of Biochemistry , University of Lucknow , Lucknow 226007 , Uttar Pradesh , India.
J Biomol Struct Dyn ; 35(3): 657-668, 2017 Feb.
Article en En | MEDLINE | ID: mdl-26942689
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Diseño de Fármacos / Lipooxigenasa / Simulación de Dinámica Molecular / Simulación del Acoplamiento Molecular / Antiinflamatorios / Antineoplásicos Tipo de estudio: Diagnostic_studies / Prognostic_studies / Screening_studies Límite: Humans Idioma: En Revista: J Biomol Struct Dyn Año: 2017 Tipo del documento: Article País de afiliación: India Pais de publicación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Diseño de Fármacos / Lipooxigenasa / Simulación de Dinámica Molecular / Simulación del Acoplamiento Molecular / Antiinflamatorios / Antineoplásicos Tipo de estudio: Diagnostic_studies / Prognostic_studies / Screening_studies Límite: Humans Idioma: En Revista: J Biomol Struct Dyn Año: 2017 Tipo del documento: Article País de afiliación: India Pais de publicación: Reino Unido