Synergism Detection
Synergism Detection - Related Videos
01:27
Combined Effects of Drugs: Synergism
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2023
Synergism is a useful mechanism where combining two or more drugs is more effective than each constituent used alone. Such combinations are also called supra-additive interactions. The drugs collectively enhance the final therapeutic effect by acting on different targets. Another advantage is that the low dose of each constituent drug is sufficient to achieve the desired effect. This helps reduce the duration of therapy and lower the adverse effects of these drugs. Such synergistic combinations...
15:04
Potentiation of Anticancer Antibody Efficacy by Antineoplastic Drugs: Detection of Antibody-drug Synergism Using the Combination Index Equation
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Cited by 3 •
2019
This protocol describes how to assess synergism between an anticancer antibody and antineoplastic drugs in preclinical models by using the combination index equation of Chou and Talalay.
10:47
Using Bioluminescent Imaging to Investigate Synergism Between Streptococcus pneumoniae and Influenza A Virus in Infant Mice
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Cited by 38 •
2011
A concurrent infection with influenza A virus is one of the factors implicated in the induction of invasive pneumococcal disease during asymptomatic Streptococcus pneumoniae carriage. Here we describe a mixed infection method using infant mice to investigate the synergism between these two respiratory pathogens.
00:09
Synergizing Antegrade Endoscopic with Bridging Vein Harvesting for Improvement of Great Saphenous Vein Graft Quality from the Lower Leg
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2019
Presented here is a protocol for antegrade endoscopic vein harvesting from the lower leg, which can safely be introduced in routine coronary artery bypass grafting. Vein grafts present excellent graft quality following this standardized protocol with positioning of the legs, minimally invasive access to the vein, and antegrade endoscopic vein harvesting.
09:10
Combination of Adhesive-tape-based Sampling and Fluorescence in situ Hybridization for Rapid Detection of Salmonella on Fresh Produce
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Cited by 17 •
2010
This protocol describes a simple adhesive-tape-based approach for sampling of tomato and other fresh produce surfaces, followed by rapid whole cell detection of Salmonella using fluorescence in situ hybridization (FISH).
FAQs
Bliss independence, Loewe additivity, and combination index analyses provide different reference frameworks for estimating the expected effect of a drug combination. Investigators compare the measured response with the expectation generated by the selected model rather than treating any response improvement as synergy. Consequently, the analytical model is central to how a combination is classified in cancer research.
Testing across concentrations shows whether an apparent interaction persists, changes, or disappears as dose changes. This matters because a pair may produce different responses at different concentration combinations, and dose is part of the comparison with the reference model. Considering a concentration range therefore provides a more informative assessment than relying on one drug pair at one dose.
The measured combination response is evaluated against the response predicted by a chosen reference model. A greater-than-expected effect supports synergy, a response consistent with the expectation supports additivity, and a weaker-than-expected effect supports antagonism. Investigators can apply these distinctions to outcomes such as cancer-cell viability, apoptosis, or other treatment responses, while considering experimental variability.
A typical workflow selects two or more interventions, tests them individually and in combination across concentrations, and measures a defined treatment response. Investigators then compare the observed combination effect with a reference such as Bliss independence, Loewe additivity, or a combination index. Accounting for experimental variability is necessary before interpreting the interaction and selecting combinations for further validation.
The analysis indicates whether the combined response exceeds, matches, or falls below the expected effect from the individual interventions. This distinguishes synergy from simple additivity or antagonism and can be evaluated through viability, apoptosis, or other treatment responses. Such information helps investigators determine whether a drug pair merits additional study rather than relying only on the magnitude of response.
In cancer research, results can support rational selection of treatment pairs by identifying combinations with potentially effective interactions. Investigators may use these findings to prioritize drug pairs for further testing and to guide validation in preclinical models. The approach therefore connects concentration-based response analysis with decisions about which combinations deserve continued development.