ArticleJournal of fluorescence2022
Monte Carlo Simulation of the Efficiency of Fluorescence Resonance Energy Transfer, FRET Phenomenon.
Article in Journal of fluorescence, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.
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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Corrections and comments
- Erratum issued
- Erratum issued
Authors and funding
1 author.
Funding
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Abstract
The article aimed to outline a statistical model based on nonlinear regressions for the efficiency of the Fluorescence Resonance Energy Transfer (FRET) phenomenon and to select a general simulation method of the FRET phenomenon, independent of the nature of the active substance used as a donor. For this purpose, several statistical models of Polynoal and nonlinear Gaussiene regressions were first tested, which would fit as well as possible the variation in time efficiency and its dependence on the concentrations of active substances. The regression models used were implemented and tested in the R language. In the second part of the study we aprooached the problem of simulating the efficiency of FRET by adapting a Monte Carlo method, using as a starting point the previously determined regressive models.
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Registered trials
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