Evidence map›Paper›PMID 30949967›Full record

ArticleJournal of the American Society for Mass Spectrometry2019

An In Vitro Study of Aromatic Stacking of Drug Molecules.

Shelley N Jackson, Damon C Barbacci, Antonello Bonci, Amina S Woods

Abstract read
In one paragraph

Article in Journal of the American Society for Mass Spectrometry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Shelley N JacksonStructural Biology Unit, Integrative Neuroscience Branch, NIDA IRP, NIH, Baltimore, MD, USA.
Damon C BarbacciIonwerks Inc., Houston, TX, USA.
Antonello BonciOffice of the Director, NIDA IRP, NIH, Baltimore, MD, USA.
Amina S WoodsStructural Biology Unit, Integrative Neuroscience Branch, NIDA IRP, NIH, Baltimore, MD, USA. awoods@intra.nida.nih.gov.

Funding

Methodology development to map and quantify imaged molecules in brain tissueZIADA000593 · NIDA · NATIONAL INSTITUTE ON DRUG ABUSE · PI WOODS, AMINA · 2013 to 2019
$3.5M
Intramural NIH HHS Z99 DA999999
6 · The paper itself

Abstract

In this paper, drug-drug chemical interactions between two different aromatic compounds were studied by mass spectrometry. Specifically, we examined non-covalent complexes (NCX) between paclitaxel, a chemotherapeutic compound, and medications widely used in palliative care for depression, psychosis, and anxiety. It is unknown whether psychotropic medications directly interact with paclitaxel. Here, we use a simple and rapid electrospray ionization mass spectrometry in vitro assay, which has been predictive in the case of neuropeptides, to measure the relative strength of non-covalent interactions. This chemical interaction is most likely due to the overlap of aromatic rings of π-orbitals between paclitaxel and five commonly used medications: diazepam, clonozepam, sertraline, fluoxetine, and haloperidol. Molecular modeling illustrates that differences in the stability of the NCXs are likely due to the distance between the aromatic rings present in both the paclitaxel and antidepressant medications. Graphical Abstract.

Indexed as

Anti-Anxiety AgentsAntidepressive AgentsAntineoplastic Agents, PhytogenicBinding SitesDiazepamDrug InteractionsFluoxetineHaloperidolHumansModels, MolecularPaclitaxelSertralineSpectrometry, Mass, Electrospray IonizationAnti-Anxiety AgentsAntidepressive AgentsAntineoplastic Agents, PhytogenicDiazepamFluoxetineHaloperidolPaclitaxelSertralineDrug–drug interactionsNon-covalent interactionsπ-Stacking

Identifiers

PMID30949967
PMCPMC7520095

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.