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The book meets my expectations regarding the description of signalling pathways relevant to human tumours, but I was disappointed to find very little reference to animal models, which have significantly contributed to the advancement of our understanding of tumour pathogenesis.
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Layer-based modeling allows for a macroscopic and highly reduced description of signaling systems [ 3].
The measure of persistent homolog is a highly plausible description of signaling network topology in biological systems.
The layer-based approach allows for a highly reduced macroscopic description of signaling systems with inherent combinatorial complexity.
Images have the most impact on the drawing and the (detailed) description of signaling events but have much less influence on the outcome of MCQs.
Below, we provide a brief description of signaling modules and components involved in each of the cellular outcomes to gastrin treatment.
Graph models representing biological species as nodes and interactions between the species as edges are arguably the simplest mathematical description of signaling networks.
Compared to logic-based models, Petri net-based models are more flexible on the definition of system state and the description of signaling transmission, and have also been very successful in dynamically simulating signaling mechanisms and transcriptional activities [43].
Somewhere in between lie more semi-quantitative and qualitative approaches that require the topological description of signaling interactions and make use of well-established mathematical frameworks to analyze network structure and functionality.
Detail description of signaling cascades used in this model was provided the Additional File 3. Our simulation model was first validated by determining whether the simulation results were consistent with experimental observations of MLC activation and calcium release by the single mediator thrombin.
These increasingly more accurate [ 2, 4] descriptions of signaling mechanisms are accompanied with the reconstruction of ever larger signaling pathways and networks.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com