Sentence examples for molecular network in from inspiring English sources
Furukawa, S. et al. Structural transformation of a two-dimensional molecular network in response to selective guest inclusion.
Finally, based on the present experimental results, a molecular network in polymer nanocomposites is proposed, that leads to the desired superfunctional characteristics.
This is evidenced by two observations: (1) P3HT exhibits a good contact with PCBM in molecular level and (2) the P3HT-PCBM system forms a well-organized molecular network in each of the electron donor and accepter phases.
These genes, called focus genes, were overlaid onto a global molecular network in the Ingenuity knowledge base.
During the model construction, the molecular network in Fig. 1 was converted into a set of ordinary differential equations.
Given the biological importance of the EGFR molecular network in carcinomas, several molecules that can inhibit the EGFR tyrosine kinase domain have been synthesised.
A challenge in biology is to understand how complex molecular networks in the cell execute sophisticated regulatory functions.
The authors offer a systematic approach to understanding complex diseases while explaining network medicine's unique features, including the application of modern genomics technologies, biostatistics and bioinformatics, and dynamic systems analysis of complex molecular networks in an integrative context.
Britt's research goals are to systematically map molecular networks in human cells in order to understand how cells integrate complex information to mount tailored responses to different forms of stress.
The Adamson lab studies the organization and function of molecular networks in human cells, with particular focus on understanding (a) how cells differentially leverage these networks to respond to stress and (b) how abnormal programs of stress response contribute to disease.
In studies of dynamic molecular networks in systems biology, experiments are increasingly exploiting technologies such as flow cytometry to generate data on marginal distributions of a few network nodes at snapshots in time.
