Computational methods in developing quantitative structure-activity relationships (QSAR): a review.

By A. Dudek, Tom Arodz, J. Gálvez. 2006

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Therapeutic target database update 2012: a resource for facilitating target-oriented drug discovery (2011, neutral): “50% inhibition concentration or binding affinities) (30).”
In silico pharmacology for drug discovery: methods for virtual ligand screening and profiling (2007, methodology): “The models constructed from these descriptors are habitually referred to as 2D-QSAR, a methodology widely established both in predicting physico-chemical properties as well as in providing quantitative estimates of various biological effects (Dudek et al ., 2006).”
Virtual screening strategies in drug discovery: a critical review. (2013, background): “The aim of QSAR is to determine the relationship between structural/physicochemical properties of active compounds to their biological activity [100-102].”