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QSAR and docking study: A review

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Quantitative structure–activity relationship models (QSAR models) are regression or classification models used in the chemical and biological sciences and engineering. Like other regression models, QSAR regression models relate a set of "predictor" variables (X) to the potency of the response variable(Y), while classification QSAR models relate the predictor variables to a categorical value of the response variable. In QSAR modeling, the predictors consist of physico-chemical properties or theoretical molecular descriptors of chemicals; the QSAR response-variable could be a biological activity of the chemicals. QSAR models first summarize a supposed relationship between chemical structures and biological activity in a data-set of chemicals. Second QSAR models predict the activities of new chemicals. Related terms include quantitative structure–property relationships (QSPR) when a physico-chemical property or reactivity is modeled as response variable
Title: QSAR and docking study: A review
Description:
Quantitative structure–activity relationship models (QSAR models) are regression or classification models used in the chemical and biological sciences and engineering.
Like other regression models, QSAR regression models relate a set of "predictor" variables (X) to the potency of the response variable(Y), while classification QSAR models relate the predictor variables to a categorical value of the response variable.
In QSAR modeling, the predictors consist of physico-chemical properties or theoretical molecular descriptors of chemicals; the QSAR response-variable could be a biological activity of the chemicals.
QSAR models first summarize a supposed relationship between chemical structures and biological activity in a data-set of chemicals.
Second QSAR models predict the activities of new chemicals.
Related terms include quantitative structure–property relationships (QSPR) when a physico-chemical property or reactivity is modeled as response variable.

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