ArticleJournal of fluorescence2009
Modeling the relative fluorescence intensity ratio of Eu(III) complex in different solvents based on QSPR method.
Article in Journal of fluorescence, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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.
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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.
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Who cites it
2 citing papers in PubMed.
- An integrated quantitative structure and mechanism of action-activity relationship model of human serum albumin binding.Journal of cheminformatics · 2019Article
- Random Forest Approach to QSPR Study of Fluorescence Properties Combining Quantum Chemical Descriptors and Solvent Conditions.Journal of fluorescence · 2018Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The quantitative structure-property relationship approach was performed to study the relative fluorescence intensity ratio (R) of Eu(DBM)(3)Phen (DBM-dibenzoylmethane, Phen-1,10-phenanthroline) in 34 different solvents. The multilinear regression analysis and artificial neural networks were employed to develop linear and nonlinear models, respectively. The proposed linear model contains six descriptors, with the squared correlation coefficient r(2) = 0.955 and the standard error of estimation s = 1.02. Better predictive results were obtained from the nonlinear model, with r(2) = 0.987 and s = 0.51. The descriptors involved in the models were discussed in detail too.
Indexed as
Identifiers
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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.