ArticleMathematical biosciences2019
Generalized concentration addition for ligands that bind to homodimers.
Article in Mathematical biosciences, 2019. 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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Who cites it
2 citing papers in PubMed, 5 citations in OpenAlex.
- Reflected generalized concentration addition and Bayesian hierarchical models to improve chemical mixture prediction.PloS one · 2024Article
- Predicting the Activation of the Androgen Receptor by Mixtures of Ligands Using Generalized Concentration Addition.Toxicological sciences : an official journal of the Society of Toxicology · 2020Article
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Concentration addition/dose addition (CA) has proved to be a powerful tool for estimating the combined effect of mixtures that act by similar mechanisms. We earlier proposed generalized concentration addition (GCA) to deal with the inability of CA to estimate effects of mixtures above the level of the least efficacious component. GCA requires specifying mathematical concentration response functions for each mixture component that must be invertible, yielding real numbers. We construct concentration response functions using pharmacodynamic models of ligand-receptor interaction, an important molecular initiating event for adverse outcome pathways. Here, we extend our earlier work in two novel ways. First, we show how composite functions can be used to extend these predictions to downstream events. Second, we show that GCA can accommodate not only receptors with single binding sites but also receptors that bind ligand at each monomer and then dimerize. The derived concentration response functions for receptors that homodimerize meet the requirements for using GCA.
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Registered trials
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