Evidence map›Paper›PMID 28650584›Full record

ArticleChemMedChem2018

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

Michael Withnall, Hongming Chen, Igor V Tetko

Abstract read
In one paragraph

Article in ChemMedChem, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Michael WithnallHelmholtz Zentrum München-German Research Center for Environmental Health, GmbH, Institute of Structural Biology, Neuherberg, Germany.ORCID 0000-0002-9706-8698
Hongming ChenExternal Sciences, Discovery Sciences, Innovative Medicines and Early Development Biotech Unit, AstraZeneca R&D Gothenburg, Mölndal, 43183, Sweden.ORCID 0000-0002-4470-876X
Igor V TetkoHelmholtz Zentrum München-German Research Center for Environmental Health, GmbH, Institute of Structural Biology, Neuherberg, Germany.ORCID 0000-0002-6855-0012

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A 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.

Indexed as

Big DataDatasets as TopicModels, ChemicalTransition TemperatureDatabases, ChemicalHydrogen BondingMolecular StructureQuantitative Structure-Activity RelationshipSolubilitygeneral solubility equationmatched molecular pairsmelting pointsOCHEM

Identifiers

PMID28650584
PMCPMC5900986

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.