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From the active inhibition interaction pattern of the above four compounds, we concluded that stabilization of most of the complex by the hydrophobic interactions and further by hydrogen bonding considerably contributes towards the activity profile of the compounds.
We implemented our model based on a circular centre and surround organization of RGC responses considering the lateral inhibition interaction among them and utilized the DoG filtering at multiple scales to explain some of the second-order Tilt Illusions [14, 50] (referred to as Tile Illusions in our study), in particular 'Café Wall' and 'Complex Bulge' patterns here.
We have developed a logic-based network pharmacology approach Target Inhibition Interaction using Maximization and Minimization Averaging (TIMMA) for predicting the effects of drug combinations in a given cancer cell sample (Tang et al., 2013).
Note that different symbols represent different genes, which were shown in Additional file 6, while green and grey arrow lines in the figure displayed activation and inhibition interaction between the two genes, respectively.
We developed a logic-based network algorithm, called Target Inhibition Interaction using Maximization and Minimization Averaging (TIMMA), which predicts the effects of drug combinations based on their binary drug-target interactions and single-drug sensitivity profiles in a given cancer sample.
Transcriptomic and metabolite profiling analysis of these tobacco transgenic lines provided surprising results when the transgenic lines and untransformed controls were compared in the absence of infection (i.e. assessing the baseline changes to the transgenic lines as a consequence of Vvpgip1 expresssion and without engaging the PGIP-ePG inhibition interaction) [ 24].
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This simple model has extensively been used in the context of, e.g., modeling neuronal excitation and inhibition interactions, as well as large-scale experimental neuroscience data[20, 24].
Including semantics also opens new possibilities for analysis in Cytoscape, for example the signaling pathway impact factor analysis method [17], which can use the distinction between activation or inhibition interactions.
10, 11 Another motif with bistability is the two-component system with mutual inhibition interactions 13 (Table 1).
When comparing the results on predicting different modes of action, binding interactions were predicted with higher accuracy than activation and inhibition interactions.
On the other side of the spectrum, viral enzymes RT, retropepsin and integrase all show interaction profiles that are highly specific for activation and inhibition interactions.
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