Mixtures, metabolites, ionic liquids: a new measure to evaluate similarity between complex chemical systems

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Abstract

This communication deals with the scientific problem of evaluating the similarity between two chemical systems, each described by a finite discrete set of elements/members, which are in turn p-dimensional vectors of chemical/biological descriptors. A variant of the Hausdorff measure, called Hausdorff-like similarity (Hs), is proposed aimed at taking into account information on all the elements present in the compared sets, information that is usually lost by the other measures.

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Mauri, A., Ballabio, D., Todeschini, R., & Consonni, V. (2016). Mixtures, metabolites, ionic liquids: a new measure to evaluate similarity between complex chemical systems. Journal of Cheminformatics, 8(1), 1–3. https://doi.org/10.1186/s13321-016-0159-x

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