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Matched Molecular Pair Analysis on Large Melting Point Datasets: A Big Data Perspective

Authors: Michael Withnall; Hongming Chen; Igor V. Tetko;

Matched Molecular Pair Analysis on Large Melting Point Datasets: A Big Data Perspective

Abstract

AbstractA matched molecular pair (MMP) analysis was used to examine the change in melting point (MP) between pairs of similar molecules in a set of ∼275k compounds. We found many cases in which the change in MP (ΔMP) of compounds correlates with changes in functional groups. In line with the results of a previous study, correlations between ΔMP and simple molecular descriptors, such as the number of hydrogen bond donors, were identified. In using a larger dataset, covering a wider chemical space and range of melting points, we observed that this method remains stable and scales well with larger datasets. This MMP‐based method could find use as a simple privacy‐preserving technique to analyze large proprietary databases and share findings between participating research groups.

Country
Germany
Keywords

Big Data, Molecular Structure, Datasets as Topic, Quantitative Structure-Activity Relationship, Hydrogen Bonding, "Marie Sklodowska-Curie Actions"; OCHEM; general solubility equation; matched molecular pairs; melting points, Full Papers, Models, Chemical, Solubility, General Solubility Equation ; Matched Molecular Pairs ; Melting Points ; Ochem, Transition Temperature, Databases, Chemical

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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