Sentence examples for a sequence of determinants from inspiring English sources

A class of multiplicative algorithms for computing D-optimal designs for regression models on a finite design space is discussed and a monotonicity result for a sequence of determinants obtained by the iterations is proved.

Based on our observation that the almost complete sequence of PGL34 is necessary to maintain proper targeting (Fig. 2), we propose that a correct folding of PAP/fibrillins rather than a sequence determinant is requested for assembly in plastoglobules.

Regarding VHSV G, the presence in its sequence of linear determinants that activate the type I IFN system has been reported (VHSV G Mx-inducing peptides).

This type of assay however is inherently limited in that it fails to account for receptor complexity beyond the sialic acid linkage, i.e. binding to a distinct topology that a glycan receptor adopts based on a variety of determinants such as sequence, linkage, chain length, and branching of sugar molecules.

Stability evaluation of many mutants can lead to a better understanding of the sequence determinants of a structural motif and of factors governing protein stability and protein evolution.

The amino acid sequence of each determinant recognized was compared with HLA-binding predictions for the expressed class I alleles.

Our results here are complementary to our previous analysis of sequence determinants of MADS protein interaction specificity [ 53].

One possible explanation might be that there is a logical sequence in the importance of determinants.

This inability to predict SoxS binding sites suggests that addition of sequence determinants is necessary for determining SoxS-mediated expression.

Identification of sequence determinants regulating fibrillation of amyloidogenic proteins may provide valuable information for designing peptide analog drugs to prevent protein amyloidosis.

Secondly, studies of the sequence determinants of protein aggregation culminated in the development of computer algorithms that predict aggregation-prone sequences with good accuracy, allowing the design of mutations that reduce aggregation.