ArticleTheoretical biology & medical modelling2017
Theory of synergistic effects: Hill-type response surfaces as 'null-interaction' models for mixtures.
Article in Theoretical biology & medical modelling, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed.
- Prediction of mixture toxicity of essential oil constituents using nonparametric and parametric models against Musca domestica L.Pest management science · 2025Article
- Preventing Preterm Birth: The Search for Tocolytic Synergism.Reproductive sciences (Thousand Oaks, Calif.) · 2025Review
- Challenges to determine synergistic drug interactions in mice.Nature communications · 2025Article
- PanThera: predictive analysis of higher-order combination therapies using deep neural networks.Briefings in bioinformatics · 2025Article
- Unleashing the synergistic effect of promising fungicides: a breakthrough solution for combating powdery mildew in pea plants.Frontiers in microbiology · 2024Article
- REAP-2: An interactive quantitative tool for robust and efficient dose-response curve estimation.Journal of clinical and translational science · 2023Article
- Robust and Efficient Assessment of Potency (REAP) as a quantitative tool for dose-response curve estimation.eLife · 2022Article
- Modeling synergistic effects by using general Hill-type response surfaces describing drug interactions.Scientific reports · 2022Article
- Editorial on the Special Issue: "Multidrug Combinations".Biomolecules · 2022Article
- Evaluation of synergism in drug combinations and reference models for future orientations in oncology.Current research in pharmacology and drug discovery · 2022Review
- MuSyC is a consensus framework that unifies multi-drug synergy metrics for combinatorial drug discovery.Nature communications · 2021Article
- The Landscape of Signaling Pathways and Proteasome Inhibitors Combinations in Multiple Myeloma.Cancers · 2021Review
- A foundation for reference models for drug combinations with an application to Loewe's reference model.BMC bioinformatics · 2020Article
- Charting the Fragmented Landscape of Drug Synergy.Trends in pharmacological sciences · 2020Review
- Quantifying Drug Combination Synergy along Potency and Efficacy Axes.Cell systems · 2019Article
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Abstract
backgroundThe classification of effects caused by mixtures of agents as synergistic, antagonistic or additive depends critically on the reference model of 'null interaction'. Two main approaches are currently in use, the Additive Dose (ADM) or concentration addition (CA) and the Multiplicative Survival (MSM) or independent action (IA) models. We compare several response surface models to a newly developed Hill response surface, obtained by solving a logistic partial differential equation (PDE). Assuming that a mixture of chemicals with individual Hill-type dose-response curves can be described by an n-dimensional logistic function, Hill's differential equation for pure agents is replaced by a PDE for mixtures whose solution provides Hill surfaces as 'null-interaction' models and relies neither on Bliss independence or Loewe additivity nor uses Chou's unified general theory.
methodsAn n-dimensional logistic PDE decribing the Hill-type response of n-component mixtures is solved. Appropriate boundary conditions ensure the correct asymptotic behaviour. Mathematica 11 (Wolfram, Mathematica Version 11.0, 2016) is used for the mathematics and graphics presented in this article.
resultsThe Hill response surface ansatz can be applied to mixtures of compounds with arbitrary Hill parameters. Restrictions which are required when deriving analytical expressions for response surfaces from other principles, are unnecessary. Many approaches based on Loewe additivity turn out be special cases of the Hill approach whose increased flexibility permits a better description of 'null-effect' responses. Missing sham-compliance of Bliss IA, known as Colby's model in agrochemistry, leads to incompatibility with the Hill surface ansatz. Examples of binary and ternary mixtures illustrate the differences between the approaches. For Hill-slopes close to one and doses below the half-maximum effect doses MSM (Colby, Bliss, Finney, Abbott) predicts synergistic effects where the Hill model indicates 'null-interaction'. These differences increase considerably with increasing steepness of the individual dose-response curves.
conclusionThe Hill response surface ansatz contains the Loewe additivity concept as a special case and is incompatible with Bliss independent action. Hence, when synergistic effects are claimed, those dose combinations deserve special attention where the differences between independent action approaches and Hill estimations are large.
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