Sentence examples for more active variants from inspiring English sources

First in the way in which they calculate the differences between the measured activity and the predicted activity (the "loss"), for example whether they use the square of the differences between measured and predicted activities (square loss), or whether they place more weight on differences between measured and predicted activities for the more active variants (matching loss).

This study demonstrates that endonuclease mutants with altered specificity and non-lethal activity can be evolved towards more active variants using a laboratory evolution strategy.

These libraries have been used to screen for more active variants of the anticancer compound, trunkamide, which will be described in due course.

More commonly, however, one does have a very poor protein (clone) with at least some measurable activity, and the aim is to evolve this into a much more active variant.

Because the versions of these genes that promote baldness are recessive (ie, capable of producing their traits only when not masked by the presence on a sister chromosome of more active variant of the genes in question), both of a woman's X-chromosomes would need to have a set of defective genes in order to express the typical pattern of male baldness.

Our results on hFIX dose affects would predict that such a more active variant may avoid anaphylaxis and reduce but perhaps not eliminate inhibitor formation.

Their results showed that the shorter VDR protein was the more active form compared to the long variant; an increase of approximately 1.7-fold [ 48].

Walking is more active form of meditation.

The sc-rtTA variants with beneficial mutations in the N-terminal TetR domain appeared to be more active than the variants with the same mutations in the C-terminal TetR part.

As shown in Fig. 5A, the Q77R substitution of LTNP-86 and LNTP-04-1 resulted in a slightly reduced ability to induce apoptosis, whereas the R77Q LTNP-96 mutant was more active than the parental variant.

For every machine learning algorithm, the variant that contained only substitutions whose mean weights were at least 1 standard deviation above zero was more active than the corresponding variant that included all substitutions with positive weights.