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• W2489134087 abstract "Quantitative structure–activity relationship (QSAR) analysis has speeded up the lead optimization process by multiple degrees in the last two decades. QSAR as a tool is gaining increasing acceptance with medicinal chemists and researchers in the allied fields due to the increased understanding of the underlying science by which one can develop mathematical (QSAR) models in order to accurately predict the biological activity or potency of new or untested compounds. QSAR has the capability to prioritize ideas in lead optimization and virtual screening. Thus, there is a constant effort among QSAR experts to develop more efficient QSAR techniques to make in silico drug discovery approaches more reliable and dependable for medicinal chemists in practice. New QSAR techniques such as hologram-based QSAR (HQSAR) and group-based QSAR (G-QSAR), as well as some other less known relatively newer QSAR approaches, are discussed in this chapter." @default.
• W2489134087 created "2016-08-23" @default.
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• W2489134087 date "2015-01-01" @default.
• W2489134087 modified "2023-10-01" @default.
• W2489134087 title "Newer QSAR Techniques" @default.
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• W2489134087 doi "https://doi.org/10.1016/b978-0-12-801505-6.00009-0" @default.
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