Sentence examples for modelling of virus from inspiring English sources

Additionally, the fluorescence distributions obtained from flow cytometry can be used for further data analyses, such as statistical evaluation of process data and mathematical modelling of virus protein production and virion release.

In this review, we outline specific challenges and solutions that have emerged to allow for structurally detailed modelling of viruses in silico.

Hence, it is concluded that limited intracellular resources or a detailed description of the cell physiology is required for a more realistic modeling of virus replication dynamics.

We consider this model as a model of virus dynamics depicted in [46].

In the previous section, we analyzed the global stability of a model of virus infection with diffusion and time delay.

They presented a model of virus dynamics that can be further extended to include essential components of the cellular and humoral immune response.

Jin and Flury ([2002]) reviewed the fate and transport of viruses in porous media to understand mechanisms and modeling of virus sorption, and concluded that factors such as solution chemistry, virus properties, soil properties, temperature, and association with solid particle influences virus survival, transport, and sorption in porous media.

We have previously introduced a novel model of virus dynamics and adaptation [23], which allows us to consider the distinct molecular effects of all novel (and some developmental) HIV drugs.

These assumption define the basic model of virus dynamics.

In parallel, mathematical models of virus treatment of tumors have been developed [ 3– 5].

This section briefly describes a basic model of virus dynamics in the absence of coinfection.