Turbocharging Matched Molecular Pair Analysis: Optimizing the Identification and Analysis of Pairs

Iva Lukac, Joanna Zarnecka, Edward J. Griffen, Alexander G. Dossetter, Stephen A. St-Gallay, Steven J. Enoch, Judith C. Madden, Andrew G. Leach

Research output: Contribution to journalArticlepeer-review

Abstract

We have applied the two most commonly used methods for automatic matched pair identification, obtained the optimum settings, and discovered that the two methods are synergistic. A turbocharging approach to matched pair analysis is advocated in which a first round (a conservative categorical approach that uses an analogy with coin flips, heads corresponding to an increase in a measured property, tails to a decrease, and a biased coin to a structural change that reliably causes a change in that property) provides the settings for a second round (which uses the magnitude of the change in properties). Increased chemical specificity allows reliable knowledge to be extracted from smaller sets of pairs, and an assay-specific upper limit can be placed on the number of pairs required before adequate sampling of variability has been achieved.
Original languageEnglish
Pages (from-to)2424-2436
JournalJournal of Chemical Information and Modeling
Volume57
Issue number10
Early online date2 Oct 2017
DOIs
Publication statusPublished - 23 Oct 2017

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