Sentence examples for bait selection from inspiring English sources

To simulate the bait selection process, we selected a subset of proteins (ranged from 5% up to 100% of the 2551 yeast proteins) as baits and calculated the number of interactions such baits would "pull-out" from the yeast interaction data set and computed the overall network coverage.

The hub bait selection performed slightly better than random in the two-round selection.

The bait selection strategy, assisted by the hub classifier, was simulated in the experimental PIN of Saccharomyces cerevisiae.

On the other hand, only 26.53% of the network coverage was generated by the random bait selection.

To illustrate a possible application of the developed tool, we have used it for rationalizing a bait selection strategy for a large-scale protein complex pull-down experiment.

In addition to the bait selection strategy described above (referred to as one-round selection), we simulated the network coverage results by applying a second round of selections.

The effectiveness of protein bait selections assisted by the hub classifier has been simulated by using yeast protein-protein interaction data determined by protein-complex pull-down and mass spectrometry experiments, available from Gavin's study [ 6].

The DNA was then converted into RNA bait for selection by in vitro transcription reaction with Biotin-16-UTP (MAXIscript Kit), following which the DNA template was eliminated by TURBO DNase.

In this type of selection, baits were divided into two sets: one-third as the first round of baits, and two-thirds as the second round of baits.

Hence, when the user updates her selection of "bait gene symbol" from "CTNNB1" to "EPHB2", the corresponding instance value for the "Cell line" is automatically updated to "HCT116".

In the case of one-round selection, choosing baits that were predicted as hubs by the classifier has greatly increased the network coverage in comparison to random selection.