Inhibition Enhancement
Inhibition Enhancement - Related Videos
00:46
Feedback Inhibition
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2019
Biochemical reactions are occurring constantly in cells, converting starting substances to different products, usually with the help of enzymes that speed the reactions. Without enzymes, it would take far too long for most reactions to occur to be useful to the cell! Since enzymes help control the rate of reactions, their activity is regulated so that appropriate amounts of starting materials, intermediate metabolites, and products are maintained in the cell. Excessive build-up or depletion of...
01:30
Enzyme Inhibition
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2025
Inhibitors are molecules that reduce enzyme activity by binding to the enzyme. In a normally functioning cell, enzymes are regulated by a variety of inhibitors. Drugs and other toxins can also inhibit enzymes. Some inhibitors bind to the enzyme’s active site, while others inhibit enzymatic activity by binding to other sites on the protein structure. Competitive inhibitors occupy the active site of enzymes, making them unable to accommodate the substrate. However, sufficiently high...
02:29
Measuring Immune-Induced Inhibition of Seedling Growth
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2025
This video demonstrates the seedling growth inhibition assay in the Arabidopsis thaliana plant. The impact of increased concentration of immune peptide elicitor on seedling growth is determined.
09:48
Intracortical Inhibition Within the Primary Motor Cortex Can Be Modulated by Changing the Focus of Attention
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Cited by 21 •
2017
Using two different transcranial magnetic stimulation (TMS) protocols, this manuscript describes how to measure and compare cortical inhibition within the primary motor cortex when adopting different attentional foci.
08:00
Enhancing the Engraftment of Human Induced Pluripotent Stem Cell-derived Cardiomyocytes via a Transient Inhibition of Rho Kinase Activity
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Cited by 8 •
2019
In this protocol, we demonstrate and elaborate on how to use human induced pluripotent stem cells for cardiomyocyte differentiation and purification, and further, on how to improve its transplantation efficiency with Rho-associated protein kinase inhibitor pretreatment in a mouse myocardial infarction model.
FAQs
The intended inhibitory effect can increase because more inhibitor is made available where the biological target operates. This route differs from simply increasing overall concentration because it focuses on access to the target. In bioengineered systems, delivery improvement can therefore be evaluated alongside affinity and target responsiveness when tuning the strength and precision of control.
Enhancing target responsiveness makes a given inhibitory input produce a stronger reduction in activity, whereas reinforcing negative-feedback circuits suppresses downstream activity after the system responds. These mechanisms act at different points: one changes how the target reacts, while the other extends control through the network. Comparing them helps engineers select a suitable control strategy.
Increasing inhibitor concentration changes how much inhibitory agent is available, while improving affinity changes how effectively that agent interacts with its target. These adjustments can produce similar reductions in activity but represent different engineering choices. Dose-response measurements and kinetic analyses help determine which lever provides better control for an enzyme, pathway, or engineered biological system.
Dose-response measurements show how inhibitory effects change as the relevant input varies. Kinetic analyses help characterize changes in reaction behavior, particularly when controlling enzyme processes. System-level outputs reveal whether suppression propagates through a pathway or engineered network. Using these measurements together connects target-level inhibition with the broader functional outcome needed for optimization.
A practical workflow begins by identifying the biological target or engineered process that requires stronger suppression. Researchers then select an adjustable factor, such as inhibitor concentration, affinity, delivery, target responsiveness, or negative feedback. They assess the result with dose-response, kinetic, and system-level measurements, then use those outcomes to refine control while limiting unwanted activation.
Applications span enzyme reactions, metabolic flux, gene expression, cell signaling, and neural activity. The same control principle can support therapeutic strategies, biosensors, and engineered biological networks, although the measured outcome differs across systems. Researchers may use activity, pathway behavior, or network-level outputs to improve suppression and reduce unwanted activation in the designed system.