Sentence examples for dynamic biology from inspiring English sources

Nonetheless, a major motivation for single-cell technology is to uncover dynamic biology hidden in population means.

In this context, interpreting the three-dimensional pattern of DNA methylation is crucial to our understanding of the dynamic biology of genomes.

A static crystal cannot unveil the dynamic biology of protein as complex as bacterioferritin, that has evolved under strong structural constraints to accomplish functional needs which vary with the complexity of the organism.

In short, emerging sequencing technologies provide a high resolution lens into the dynamic biology underlying organism development.

1 N. meningitidis has a dynamic biology in that it undergoes frequent (up to 10−3/cell) antigenic variability and escape from vaccine-induced or natural protective immunity.

In sum, our data strongly suggest that FAK- and adhesion-signaling can modulate which substrates are favored (or disfavored) by Src, thereby influencing the various dynamic biologies that contribute to cancer progression.

In recent years it has been suggested that dynamic systems biology models are universally sloppy, meaning that the values of some parameters can be perturbed by several orders of magnitude without causing significant changes in the model output.

Development of programs that enable dynamic systems biology modelling of complex signalling networks will aid integration of PSD structural data and the development of new theories to explain the molecular basis of synaptic plasticity.

To the best of our knowledge, this is the first description of a dynamic systems biology model of the human cholesterol pathway and several of its key regulatory control elements.

Furthermore, to the best of our knowledge, we present here the first dynamic systems biology model of the human cholesterol pathway and several of its key regulatory control elements, hoping it would provide a good basis to perform in silico experiments and confront the resulting properties with published and experimental data.

This trend will change the research paradigm from more linear and static "one-gene, one protein" models to more complex, functional and dynamic "systems biology" models to complete the biological information flow from DNA to RNA to proteins and to phenotypes.