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- W4317438438 abstract "Due to various causes, anti-bacterial resistance is seeing rapid emergence globally. Alternate and more efficient drugs are vital in the combat against pathogenic and drug-resistant bacterial species. In this regard, phytochemicals have been identified to possess immense potential. As efficient anti-biotic alternatives, phytochemicals trigger the innate immune system, encourage probiotic development, retain gut health, and minimize the harmful effects of inflammatory processes caused by infectious bacteria. Hence, it can be very beneficial to consider phytochemicals as alternate anti-bacterial drugs. To accurately identify and evaluate phytochemicals based on their physicochemical properties and mechanisms of action against bacterial agents, it is essential to screen them. This chapter discusses the computational screening of phytochemicals by adopting various methodologies such as structure- and ligand-based virtual screening to aid the process of anti-bacterial drug discovery." @default.
- W4317438438 created "2023-01-19" @default.
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- W4317438438 date "2023-01-01" @default.
- W4317438438 modified "2023-09-25" @default.
- W4317438438 title "Computational screening of phytochemicals for anti-bacterial drug discovery" @default.
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- W4317438438 doi "https://doi.org/10.1016/b978-0-323-90593-0.00011-3" @default.
- W4317438438 hasPublicationYear "2023" @default.
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