Sentence examples for molecular processes described from inspiring English sources

When we increase k D and γ, while lowering δ, corresponding to the molecular processes described above, our model produces an oscillatory solution in accordance with the experimental observations (see Figure 2A).

Given the level of granularity in FIRM, these assumptions could be relaxed and the full details of the underlying molecular processes are described.

Organismal, cellular and molecular processes are described in the biological process branch of the GO, developmental anatomy ontologies are available for various species (Bult et al., 2008; Tweedie et al., 2009) and environmental features can be characterized with the Environment Ontology (Environment Ontology Consortium, 2008).

Proteins are often the functional molecules in biological processes described by pathways, molecular interactions and other networks.

BPP_1 has the highest binding energy compared to the other BPP derivatives to the copper surface that are found during the molecular dynamics simulation process described elsewhere [83].

Thus we conclude that the models and processes describing classical molecular evolution and unigenic evolution are sufficiently different to preclude straightforward comparison.

These three processes describe the data to a high accuracy and are tentatively assigned to molecular motions.

On the basis of in vivo studies on human hepatocytes, Koschorreck et al. suggested a model that explicitly described the molecular processes involved in insulin receptor dynamics, along with those associated with insulin degradation and clearance.

While the symbiotic relationship between this hydrothermal mussel and these chemoautotrophic bacteria has been described, the molecular processes involved in the cross-talking between symbionts and host, in the maintenance of the symbiois, in the influence of environmental parameters on gene expression, and in transcriptome variation across individuals remain poorly understood.

Quon and Campfield proposed a mathematical model that describes the molecular processes involved in insulin receptor dynamics, such as receptor binding, endocytosis, and recycling.

The present gene regulatory network model lays the foundation for future modeling efforts to describe additional molecular processes involved in the NTS adaptation to the hypertensive state.