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Related Concept Videos

Combinatorial Gene Control02:33

Combinatorial Gene Control

Combinatorial gene control is the synergistic action of several transcriptional factors to regulate the expression of a single gene. The absence of one or more of these factors may lead to a significant difference in the level of gene expression or repression.
The expression of more than 30,000 genes is controlled by approximately 2000-3000 transcription factors. This is possible because a single transcription factor can recognize more than one regulatory sequence. The specificity in gene...
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Drugs exert their therapeutic effects by interacting with receptors, enzymes, or ion channels that are present throughout the human body. The strength and duration of the interaction between a drug and its target receptor are characterized by the selectivity and specificity of the drug. Selectivity refers to a drug's strong preference for its intended target over other targets. For instance, isoprenaline, a non-selective β-adrenergic agonist, interacts with both β1- and β2-adrenergic receptors...
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Bioequivalence experimental study designs play a pivotal role in testing the effectiveness of various treatments. Key among these are the repeated measures, cross-over, carry-over, and Latin square designs. In the repeated measures design, each subject receives all treatments, allowing for temporal comparisons. This type of design is useful in reducing variability but requires careful planning to avoid bias.The cross-over design, an economical method, involves sequential administration of...
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Combined Effects of Drugs: Synergism

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Updated: Jul 3, 2026

Diagonal Method to Measure Synergy Among Any Number of Drugs
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Published on: June 21, 2018

High-order combination effects and biological robustness.

Joseph Lehár1, Andrew Krueger, Grant Zimmermann

  • 1Discovery, CombinatoRx Inc., Cambridge, MA 02142, USA. jlehar@alum.mit.edu

Molecular Systems Biology
|August 7, 2008
PubMed
Summary
This summary is machine-generated.

Biological systems are robust yet fragile when facing multiple attacks. High-order experiments reveal system fragility points, aiding in developing targeted biomedical and bioengineering strategies.

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Last Updated: Jul 3, 2026

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Area of Science:

  • Systems biology
  • Network science
  • Bioengineering

Background:

  • Biological systems exhibit robustness, maintaining stability despite perturbations, due to their complexity involving interconnected modules and feedback loops.
  • Robustness and complexity in biological systems are intrinsically linked, arising from shared underlying mechanisms.
  • Theoretical and experimental studies show that complex biological systems can become fragile when subjected to multiple perturbations, with fragility dependent on the number of attacking agents.

Purpose of the Study:

  • To investigate the relationship between biological system complexity, robustness, and fragility.
  • To explore the utility of systematic high-order combination experiments for studying functional robustness.
  • To identify potential applications in biomedical and bioengineering challenges, such as combating multi-drug resistance.

Main Methods:

  • Utilizing systematic high-order combination experiments to perturb biological systems.
  • Analyzing the resulting system fragility in response to varying numbers of applied agents.
  • Theoretical and experimental modeling of biological network responses.

Main Results:

  • Demonstrated a direct link between the number of perturbations and the fragility of complex biological systems.
  • Validated the effectiveness of high-order combination experiments in probing system robustness and identifying fragility points.
  • Established a framework for understanding how complexity influences system stability under attack.

Conclusions:

  • High-order combination experiments offer a powerful approach to study and predict the functional robustness of biological systems.
  • Understanding system fragility is crucial for developing effective interventions, particularly against challenges like multi-drug resistant pathogens.
  • Future manipulation of biological systems should focus on modulating multiple nodes rather than single targets for precise control.