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 chemical property is modeled as the response variable. "Different properties or behaviors of chemical molecules have been investigated in the field of QSPR. Some examples are quantitative structure–reactivity relationships (QSRRs), quantitative structure–chromatography relationships (QSCRs) and, quantitative structure–toxicity relationships (QSTRs), quantitative structure–electrochemistry relationships (QSERs), and quantitative structure–biodegradability relationships (QSBRs)
About Dr. Muhammad Naveed
Dr. Muhammad Naveed obtained PhD degree in Biotechnology (Genomics & Bioinformatics) from QAU, Islamabad with distinction. He has won PhD indigenous & IRSIP scholarships from HEC. He has done Pre-Doc research from University of Ghent, Belgium. HEC awarded best PhD (IRSIP) Scholar of the year 2013 & QAU honoured him as “Distinguished Alumni” in 2017. He is doing research in Bioinformatics & Molecular Biotechnology. He has supervised 25 MSc., 30 MPhil. & 01 PhDs. He has published 51 research articles, 01 book and 03 book chapters. He has been awarded distinguished “Researcher of the Years (2016, 2018 & 2019)” by UoG and UCP.
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