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Book ChapterDOI

Criteria for Analyzing Interactions between Biologically Active Agents

M. C. Berenbaum
- 01 Jan 1981 - 
- Vol. 35, pp 269-335
TLDR
The effect–summation criterion may be used when the effects of all the agents in a combination are directly proportional to dose, and the key to any criterion for examining interactions between different agents lies in the definition of zero interaction.
Abstract
Publisher Summary The existence of any substantial interaction between different agents that are used clinically or to which man is exposed environmentally is potentially of great importance. One agent may affect another's absorption, metabolism, or excretion. It may alter tissue sensitivity to another agent, and may react with it physically or chemically. A variety of different criteria have been devised for deciding whether the agents in a combination interact pharmacologically. The purpose of this chapter is to examine these criteria critically for the progress in this field. To summarize, the effect–summation criterion may be used when the effects of all the agents in a combination are directly proportional to dose. The key to any criterion for examining interactions between different agents lies in the definition of zero interaction. The interactions that can be analyzed by constructing isoboles or calculating interaction indices are not restricted to cases in which all agents in a combination produce the effect under consideration. The therapeutic significance of interactions between agents requires careful consideration.

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Citations
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Theoretical Basis, Experimental Design, and Computerized Simulation of Synergism and Antagonism in Drug Combination Studies

TL;DR: The median-effect principle and its mass-action law based computer software are gaining increased applications in biomedical sciences, from how to effectively evaluate a single compound or entity to how to beneficially use multiple drugs or modalities in combination therapies.
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Synergy research: approaching a new generation of phytopharmaceuticals.

TL;DR: This review describes many examples of how modern molecular-biological methods can enable us to understand the various synergistic mechanisms underlying these effects of herbal drug combinations.
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Systematic discovery of multicomponent therapeutics

TL;DR: Systematic combination screening may ultimately be useful for exploring the connectivity of biological pathways and, when performed with reference-listed drugs, may result in the discovery of new combination drug regimens.
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Ten years of mixing cocktails: a review of combination effects of endocrine-disrupting chemicals.

TL;DR: It is argued that the accumulated evidence seriously undermines continuation with the customary chemical-by-chemical approach to risk assessment for endocrine disruptors and should seriously consider group-wise regulation of classes of EDs.
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Systems biology and combination therapy in the quest for clinical efficacy.

TL;DR: This perspective focuses on opportunities and challenges inherent in the application of mathematical modeling and systems approaches to pharmacology, specifically with respect to the idea of achieving combinatorial selectivity through use of multicomponent drugs.
References
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TL;DR: A quantitative analysis of the toxicity of drugs or poisons applied jointly requires that they be administered at several dosages in mixtures containing fixed proportions of the ingredients, and the presence of synergism is indicated.
Journal ArticleDOI

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D. E. Lea, +1 more
- 01 Jul 1955 - 
Journal ArticleDOI

Cellular responses to combinations of hyperthermia and radiation.

TL;DR: The two principal rationales for applying hyperthermia in cancer therapy are that: the S phase, which is relatively radioresistant, is the most sensitive phase tohyperthermia, and can be selectively radiosensitized by combining hyperThermia with x-irradiation, and the cycling tumor cells in S phase could be killed by subjecting these cells toHyperthermia.
Journal ArticleDOI

Exploitable mechanisms in combined radiotherapy-chemotherapy: the concept of additivity.

TL;DR: There are serious conceptual problems in demonstrating greater-than-additive cell kill whenever dose-response curves are nonlinear, so an approach based on an "envelope of additivity" in an iso-effect plot is suggested.