HAMILTON-JACOBI TREATMENT OF LAGRANGIANS WITHIN FRACTIONAL CAPUTO DERIVATIVES

In this work, the Hamilton-Jacobi formulation of fractional Caputo Lagrangians of linear velocities is investigated. The fractional Hamilton-Jacobi equations of motion for several potential systems are derived. Under certain conditions on the potential, it is shown that the action integral is independent on the fractional Caputo derivatives

Investigation into the prophylactic and therapeutic activity of coenzyme Q10 against COVID-19

Purpose: To evaluate the anti-SARS CoV-2 effect of Coenzyme Q 10, Ubiquinol-10, and idebenone, which have beneficial therapeutic applications against diverse virus types, using molecular docking approach.Methods: The potential activity of Coenzyme Q10, Ubiquinol-10, and Idebenone against viral infections was explored through the collection of data from relevant literature, and by modelling these compounds virtually, using in silico investigation methods.Results: Coenzyme Q10 and ubiquinol-10 showed significant docking performance. They interacted with numerous amino acid residues of the main protease of SARS-CoV-2 ACE2 (7C8J), Alpha thrombin (1AE8), TYRO (4TS1) protein targets sides, SARS-coronavirus Orf7a accessory protein (1XAK), TNF (1RJ8), and Cytokine/receptor (1I1R).Conclusion: The findings of our study showed promising inhibitory activities of the selected compounds against the main proteases of SARS-CoV-2. Consequently, these compounds have theoretical effects on inhibiting the viral entry, reproduction, and ultimately the prevention and/or treatment of the SARSCoV2 infection

Metabonomics as a clinical tool of analysis : LC-MS approaches

Metabolic differences between test and control groups (i.e. metabonomics) are routinely accomplished by using multivariate analysis for data obtained commonly from NMR, GC-MS and LC-MS. Multivariate analysis (e.g. principal component analysis PCA) is commonly used to extract potential metabolites responsible for clinical observations. Metabonomics applied to the clinical field is challenging because the physiological variabilities like gender, age, race…etc might govern the cluster pattern obtained by multivariate analysis instead of the tested differences. This review focuses on the challenges facing the clinical applications of metabonomics and introduces their possible solutions as mentioned in the literature