Sentence examples for target discovered from inspiring English sources

Exact(4)

The new target, discovered in 1969, resembles Wirtanen.

Political activity creates risk for companies, as Target discovered in 2010 when it saw boycotts in response to political spending in favor of a gubernatorial candidate who opposed same-sex marriage.

Drug repositioning analysis is likely to become routine for every new drug and target discovered, resulting in more efficient identification of therapeutics for targeting specific molecular aberrations.

We also found that PCYT1A exhibits similar biochemical and immunohistochemical properties as the spurious target discovered by Bhagwat et al. For example, PCYT1A shows a similar migration pattern as ERCC1 protein on SDS-PAGE gel even though it has a predicted molecular weight 10 kDa greater than ERCC1, and PCYT1A is localized exclusively in the nucleus by IHC.

Similar(56)

As figure 5A shows, although reducing the mutagenesis density does not directly affect the cost of the sequencing experiment, it does increase the average yield of true targets discovered.

Furthermore, based on the global, genome-wide data this does not seem to be the sole functional role of p53 phosphorylation at S46. Future research using the resource of targets discovered in this study should expand the functions for which the phosphorylation of p53 at Serine 46 plays an important role.

Of the bona fide targets SUMO targets discovered in our in bacto screen, we chose Casp as a target for validation in S2 cells in culture.

With the ethanol-tolerance gene targets discovered from this study and previously proteomic analysis [ 9], it may be possible to engineer multiple gene targets from different cellular functional categories simultaneously to achieve high-tolerance hosts in the future.

Although the use of LCLs as a model system for cancer pharmacology brings with it a variety of challenges [ 65], targets discovered through studies using the LCL model have been replicated in clinical trials, arguably the ultimate measure of utility.

We applied this method to predict CD8+ T-cell targets in influenza A H7N9 hemagglutinin and significantly increased the number of potential vaccine targets compared to the number of targets discovered using the traditional approach where low-frequency peptides are excluded.

It's like studying robbery by compiling statistics on the targets, discovering they tend to be older, poorer and darker-skinned, and concluding that robbery is driven by animosity toward old, poor, dark-skinned people.

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