QSAR | 3D QSAR based Drug analysis | CADD Step 4 Part 2 | Lecture 37 | Dr. Muhammad Naveed

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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