TY - JOUR
T1 - Turbocharging Matched Molecular Pair Analysis: Optimizing the Identification and Analysis of Pairs
AU - Lukac, Iva
AU - Zarnecka, Joanna
AU - Griffen, Edward J.
AU - Dossetter, Alexander G.
AU - St-Gallay, Stephen A.
AU - Enoch, Steven J.
AU - Madden, Judith C.
AU - Leach, Andrew G.
PY - 2017/10/23
Y1 - 2017/10/23
N2 - 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.
AB - 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.
U2 - 10.1021/acs.jcim.7b00335
DO - 10.1021/acs.jcim.7b00335
M3 - Article
SN - 1549-9596
VL - 57
SP - 2424
EP - 2436
JO - Journal of Chemical Information and Modeling
JF - Journal of Chemical Information and Modeling
IS - 10
ER -