Evidence map›Paper›PMID 32225069›Full record

ArticleMolecules (Basel, Switzerland)2020

Binding Kinetics of Ruthenium Pyrithione Chemotherapeutic Candidates to Human Serum Proteins Studied by HPLC-ICP-MS.

Katarina Marković, Radmila Milačič, Stefan Marković, Jerneja Kladnik, Iztok Turel, Janez Ščančar

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Molecules (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 34% of its field
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

4 citing papers in PubMed, 9 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Katarina MarkovićDepartment of Environmental Sciences, Jožef Stefan Institute, Jamova 39, SI-1000 Ljubljana, Slovenia.ORCID 0000-0002-9171-4011
Radmila MilačičDepartment of Environmental Sciences, Jožef Stefan Institute, Jamova 39, SI-1000 Ljubljana, Slovenia.
Stefan MarkovićDepartment of Environmental Sciences, Jožef Stefan Institute, Jamova 39, SI-1000 Ljubljana, Slovenia.
Jerneja KladnikFaculty of Chemistry and Chemical Technology, University of Ljubljana, Večna pot 113, SI-1000 Ljubljana, Slovenia.
Iztok TurelFaculty of Chemistry and Chemical Technology, University of Ljubljana, Večna pot 113, SI-1000 Ljubljana, Slovenia.ORCID 0000-0001-6776-4062
Janez ŠčančarDepartment of Environmental Sciences, Jožef Stefan Institute, Jamova 39, SI-1000 Ljubljana, Slovenia.
Jožef Stefan Institute · SIUniversity of Ljubljana · SI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of ruthenium-based complexes for cancer treatment requires a variety of pharmacological studies, one of them being a drug's binding kinetics to serum proteins. In this work, speciation analysis was used to study kinetics of ruthenium-based drug candidates with human serum proteins. Two ruthenium (Ru) complexes, namely [(η

Indexed as

Chromatography, High Pressure LiquidMass SpectrometryPyridinesRutheniumThionesAntineoplastic AgentsBlood ProteinsDrug MonitoringDrug StabilityHumansKineticsMolecular StructureProtein BindingReproducibility of ResultsSensitivity and SpecificitySpectrum AnalysisAntineoplastic AgentsBlood ProteinsPyridinespyrithioneRutheniumThionesCIM Protein G and DEAE disksCLC monolithic chromatographydrug candidateshuman serumisotope dilution inductively coupled plasma mass spectrometryKeywords: ruthenium-based chemotherapeuticskinetics studypyrithionespeciation analysisUV spectrometry

Identifiers

PMID32225069
PMCPMC7180866
OpenAlexW3013437843

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.