Dilshod A. Mansurov , Alisher Kh. Khaitbaev , Khamid Kh. Khaitbaev , Khamza S. Toshov , Enrico Benassi
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引用次数: 0
Abstract
Menthol is a naturally occurring cyclic terpene alcohol and is the major component of peppermint and corn mint essential oils extracted from Mentha piperita L. and Mentha arvensis L.. Menthol and its derivatives are widely used in pharmaceutical, cosmetic and food industries. Among its eight isomers, (-)-menthol is the most effective one in terms of refreshing effect. While the invigorating property of (-)-menthol is generally known, this claim is based on a substantial amount of literature and experience. (-)-Menthol has consistently been reported to possess better cooling and refreshing qualities in comparison to its isomers, making it the preferred choice in a broad range of applications such as personal care products, pharmaceuticals and food additives. Additionally, the (-)-menthol molecular structure allows it to have a tighter fitting with the thermoreceptors in the skin and mucous membranes, and thus to provide a more intense cooling feeling. Thus, although others have similar properties to a degree, (-)-menthol is the best compared to all in its refreshing capacity. This study focuses on menthol and some of its esters, viz. menthyl acetate, propionate, butyrate, valerate and hexanoate, with the purpose of establish a connection between structural, electrostatic and electronic characteristics and biological effects. The mostly favoured interactions of the esters with biotargets were investigated at a molecular level, offering a plausible foundation for their bioactivity elucidation. This study is conducted at a quantum mechanical and molecular docking level. The results may be of possible usefulness in areas of applications, such as pharmacological research and drug.
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.