Thus, it has high potential for elucidation of cellular pathways, disease mechanisms, and biomarker discovery, as showcased by recent studies using single proteins and simple protein mixtures.
Therefore, novel ligands such as TCN 213 and 3-chloro-4-fluoro N-[4-[[2- phenylcarbonyl)hydraziN-[4-[[2- phenylcarbonyleN-[4-[[2- phenylcarbonylet al., 2010), withydrazino]carbonyl]benzylty, offer greater potential for elucidation of NMDA receptor composition.
The identification of the T cell epitope to stimulate Th1 response will contribute to the proper design of synthetic vaccines, evaluation of their protective potentials and elucidation of protective mechanisms in murine experimental schistosomiasis.
The likely increase in prevalence of QD products in society, in tandem with their potential toxicity, necessitates elucidation of the potential adverse effects of these materials, not only for the protection of human health and environmental integrity but also to aid industry and regulatory bodies in maximizing the use of these materials.
As with the mixed heteroatoms, the number of sites of ionization and association with the sodium ion increases the potential candidates for elucidation of an unknown.
The development of a high performance protein probe for the measurement of membrane potential will allow elucidation of spatiotemporal regulation of electrical signals within a network of excitable cells.
In recent years, microRNAs (miRNAs) have evolved as a unique class of endogenous regulators that offer great potential in the elucidation of cancer pathophysiology.
Although NPC is a rare neurodegenerative disease, the naturally occurring and engineered genetic models of the disease show great potential for the elucidation of neurodegenerative disease biology that is translatable to humans.
Ongoing next-generation sequencing-based investigation of gene expression (including transcription profiling) in Musa pathogen interactions by our group will offer potential for further elucidation of gene expression during plant immune responses, and will contribute to validating annotated gene models in the Musa whole-genome sequencing project.
Inferring the structure of gene regulatory networks (GRN) from a collection of gene expression data has many potential applications, from the elucidation of complex biological processes to the identification of potential drug targets.
