Comparative anti-oxidant and anti-inflammatory study of diverse honey types of Kashmir valley through In Vitro, analytical chemistry and computational approach
Ruqqaya Javid , Shahnawaz Ahmad Dar , Suma Mohan , Zahoor Ahmad Baba , Faheem Jeelani Wani , Munazah Yaqoob , P.M.Osman Javid , Shahid Ahmad Padder , Shabir Ahmad Ganai
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引用次数: 0
Abstract
Diverse factors including geographical and floral origin have marked impact on honey parameters. These factors in the long run influence the different activities exerted by honey. Herein, we performed the novel comparative study of five different honey types of Kashmir valley differing in floral origin apart from latitude, longitude and altitude. Following the rigorous comparison of their antioxidant and anti-inflammatory activity through In vitro study, the most promising honey was screened for various molecules using high-resolution liquid chromatography mass spectrometry (HR-LCMS) approach. Moreover, the identified molecules were docked against the inflammation implicated molecular targets namely histone deacetylase (HDAC)-3 and cyclooxygenase-2 (COX-2). Eventually, the binding free energy assessment was performed using conventional and thermal molecular mechanics with generalized Born surface area (MM-GBSA). The maximum binding affinity demonstrating molecule was evaluated for stability and compatibility with COX-2 by making the use of extended molecular dynamics simulation method. This study proved Robinia pseudoacacia honey has the maximum potential for alleviating the free radicals and inflammation. Further, the luteolin and genistein confirmed through HR-LCMS evinced the highest propensity of binding towards COX-2 and HDAC3 respectively.
期刊介绍:
Computational Biology and Chemistry publishes original research papers and review articles in all areas of computational life sciences. High quality research contributions with a major computational component in the areas of nucleic acid and protein sequence research, molecular evolution, molecular genetics (functional genomics and proteomics), theory and practice of either biology-specific or chemical-biology-specific modeling, and structural biology of nucleic acids and proteins are particularly welcome. Exceptionally high quality research work in bioinformatics, systems biology, ecology, computational pharmacology, metabolism, biomedical engineering, epidemiology, and statistical genetics will also be considered.
Given their inherent uncertainty, protein modeling and molecular docking studies should be thoroughly validated. In the absence of experimental results for validation, the use of molecular dynamics simulations along with detailed free energy calculations, for example, should be used as complementary techniques to support the major conclusions. Submissions of premature modeling exercises without additional biological insights will not be considered.
Review articles will generally be commissioned by the editors and should not be submitted to the journal without explicit invitation. However prospective authors are welcome to send a brief (one to three pages) synopsis, which will be evaluated by the editors.