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Nonadditivity Analysis.

Abstract：

:We introduce the statistics behind a novel type of SAR analysis named "nonadditivity analysis". On the basis of all pairs of matched pairs within a given data set, the approach analyzes whether the same transformations between related molecules have the same effect, i.e., whether they are additive. Assuming that the experimental uncertainty is normally distributed, the additivities can be analyzed with statistical rigor and sets of compounds can be found that show significant nonadditivity. Nonadditivity analysis can not only detect nonadditivity, potential SAR outliers, and sets of key compounds but also allow estimating an upper limit of the experimental uncertainty in the data set. We demonstrate how complex SAR features that inform medicinal chemistry can be found in large SAR data sets. Finally, we show how the upper limit of experimental uncertainty for a given biochemical assay can be estimated without the need for repeated measurements of the same protein-ligand system.

journal_name

J Chem Inf Model

journal_title

Journal of chemical information and modeling

authors

Kramer C

doi

10.1021/acs.jcim.9b00631

subject

Has Abstract

pub_date

2019-09-23 00:00:00

pages

4034-4042

issue

9

eissn

1549-9596

issn

1549-960X

journal_volume

59

pub_type

杂志文章

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