Sentence examples for sequences with optimal from inspiring English sources

Because there have been few large-scale systematic studies to identify peptide sequences with optimal CP activity or that are suitable for further applications in cell engineering, such as cell-specific penetration and cell-selective culture, we screened and compared the cellular uptake (CU) activity of 54 systematically designed α-helical peptides in HeLa cells.

Filtering must be balanced against the need to maintain sufficient sequence diversity space for selecting sequences with optimal on-target activity.

Given that there is limited 'target space' when quantifying miRNAs, designing primer and probe sequences with optimal properties (specifically primer Tm = 60°C) may not be possible.

The minimum degradation rate is 0.1 (preventing unlimited longevity of sequences with optimal energy), which is ensured by the multiplier factor 0.8.

Remarkably, this property can be successfully used in biotechnology, for example to dramatically increase transgene expression by synthesizing sequences with optimal synonymous codons [ 57].

Hence, both scenarios could benefit from sparse sensing a rapidly changing signal sequence with optimal performance in terms of retaining the resolution or detecting ability compared with dense sampling.

Two further analyses examined the within-gene effects of uptake sequences, asking first whether uptake sequences are more common in less conserved parts of proteins and then whether uptake sequences interfere with optimal coding and thus might reduce fitness.

Primer or probe sensitivity and specificity are predicted by searching a database to find sequences with an optimal number of mismatches, similarity and stability.

(2) We envision a minimum number of PCR products to reduce the chance for amplicon mix-up during the (manual) set-up of sequencing reactions and (3) we selected primers that produce sequences with an optimal signal-to-noise ratio to enable unequivocal assignment of point and length heteroplasmy.

The sequence associated with optimal clinical benefit was therefore first-line sunitinib followed by everolimus; hence, the authors concluded that the treatment paradigm remains unchanged.

In both studies [ 10, 11], fuzziness is attributed to mutational entropy as a possible reason: the single or few sequence states with optimal binding of the transcription factor can be outweighed by the vastly higher number of sub-optimal states at some mutational distance from the optimal binding sequence.