ArticleEuropean biophysics journal : EBJ2006
Complexation of anthracycline drugs with DNA in the presence of caffeine.
Article in European biophysics journal : EBJ, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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.
Who cites it
8 citing papers in PubMed, 30 citations in OpenAlex.
- New Life of an Old Drug: Caffeine as a Modulator of Antibacterial Activity of Commonly Used Antibiotics.Pharmaceuticals (Basel, Switzerland) · 2022Article
- Modulatory Effects of Caffeine and Pentoxifylline on Aromatic Antibiotics: A Role for Hetero-Complex Formation.Molecules (Basel, Switzerland) · 2021Article
- Interceptor effect of C60 fullerene on the in vitro action of aromatic drug molecules.European biophysics journal : EBJ · 2014Article
- On the reliability of quantitation of biological effect in drug-interceptor-DNA systems.European biophysics journal : EBJ · 2013Article
- General analysis of competitive binding in drug-interceptor-DNA systems.European biophysics journal : EBJ · 2012Article
- Quantification of the interceptor action of caffeine on the in vitro biological effect of the anti-tumour agent topotecan.European biophysics journal : EBJ · 2011Article
- Complexation of biologically active aromatic compounds with DNA in the presence of theophylline.Journal of biological physics · 2009Article
- Attenuation of acridine mutagen ICR-191--DNA interactions and DNA damage by the mutagen interceptor chlorophyllin.Biophysical chemistry · 2008Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The competitive binding of anthracycline antitumour drugs, [daunomycin (DAU), doxorubicin (DOX) or nogalamycin (NOG)], with caffeine (CAF) to a model DNA oligomer has been investigated by 500 MHz 1H NMR spectroscopy under physiological solution conditions. The method depends on the stepwise analysis of one-component (self-association), two-component (hetero-association and DNA complexation) and three-component interactions, in order to de-convolute the overall binding of the anthracycline antibiotic and CAF to DNA into two competing processes, viz. hetero-association of the antibiotic-CAF ('interceptor' action of CAF) and CAF-DNA complexation ('protector' action of CAF). It is found that the complexation of DAU with DNA in the presence of CAF is mainly affected by the CAF-DNA complexation, whereas the binding of either DOX or NOG to DNA is affected approximately equally by both the CAF-DNA complexation and CAF-antibiotic hetero-association. Quantitative evaluation of the three-component mixture of drug-CAF-DNA has enabled the proportion of the antibiotic displaced from DNA on addition of CAF to be calculated over a large range of CAF concentration, which may provide a quantitative basis for the change in anthracycline-related toxicity on addition of CAF.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.