Sentence examples for multiple domains from from inspiring English sources

Representative structures of all the major domains shared by spectrin family proteins have now been solved at atomic resolution, including in some cases multiple domains from several family members.

Deletion analysis supports the participation of multiple domains from ETR1 in formation of the protein complex, and also demonstrates that targeting to and retention of ETR1 at the endoplasmic reticulum only requires the first 147 amino acids of the receptor.

This superfamily is itself subdivided into two families: the DNA polymerase III beta subunit family, including multiple domains from the E. coli DNA polymerase III beta subunit, and the DNA polymerase processivity factor family that contains sliding clamp proteins from several organisms, including herpes virus, human, yeast and 3 archaeal species.

In addition developmental vulnerability factors for adverse outcomes have been observed in multiple domains from preschool age, including socioemotional, cognitive, neuromotor, language, and psychopathological factors [ 5].

Multiple domains from these systems have also been repeatedly transferred to eukaryotes and their viruses, such as the nucleo-cytoplasmic large DNA viruses.

If the gene was annotated as having multiple domains from different CAZyme domain families, the transcript abundance of that gene was added separately to each domain family once.

We then used the CFIR framework, which provides constructs from multiple domains for identifying potential influences on implementation of interventions [ 9], in a deductive analysis.

However, while relevant biological information is implicit in the links between multiple domains, annotations from these different domains are usually represented in distinct, unconnected DAGs, making links between the domains represented difficult to determine.

The ∼24K proteinseins constitute a family that can be subdivided into four subfamilies (p24α, β, γ and δ) [4], with each family member displaying multiple domains conserved from yeast to mammals (reviewed in [2]).

These pieces were designed and built from requirements gathered through interviews with analysts from multiple domains.

The training data for sentiment classification includes (T_{S}=19555) tweets in total (35% positive, 30% negative, and 35% neutral) from multiple domains e.g., health, debates, politics etc.