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- Papers of special note have been highlighted as either of interest (•) or of considerable interest (••) to readers.
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• This review discusses important validation methods for quantitative structure–activity relationship models.
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•• This review provides an overview of different feature selection techniques applied in quantitative structure–activity relationship modelling.
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•• The following three articles clarify good practices in quantitative structure–activity relationship modelling.
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• The following four articles deal with quantitative structure–activity relationship modelability of compound datasets and activity cliffs.
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•• The following three articles discuss pitfalls and errors in quantitative structure–activity relationship modelling.
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