Exact(1)
Figure 8a highlights that there is a mutual increase in the docking score (fitness) of the respective decoy between MOE and Maestro preparations (R2 = 0.83).
Similar(59)
On one core of an Intel E5-2660 (2.2 GHz Sandybridge), the calculation of one decoy takes between 1 and 10 min for the shortest and longest protein in the PSICOV dataset, respectively.
Koornstra et al (2003) showed that, in vivo, cytoplasmic TRAIL-R1 and -R2 expression was higher in both adenomas and carcinomas compared to normal colonic epithelium; however, there were no further changes in expression of either TRAIL receptors or decoy receptors between adenomas and carcinomas.
Analysis of the decoys behavior between the two preparation schemes agreed widely with the general findings observed for the bioactives.
Figure 3a, shows the correlation between decoy quality, in terms of RMSD value to the crystal structure, and the N-edited NOESY contact score.
More recent studies have failed to find an obvious correlation between decoy receptor expression and the apoptotic response to TRAIL, with levels of TRAIL-R1 and the caspase-8 inhibitory protein c-FLIP being more likely to affect the sensitivity of some cells to TRAIL-induced apoptosis (Kim et al, 2000).
For all experiments, cross-link spectral matches (CSM) were discarded if the following Protein Prospector parameters fell outside the threshold values: peptide score below 20, peptide/protein/worse_peptide expectation values above 50, and score_difference below 0. A linear support vector machine (SVM) model was constructed to classify CSMs between decoy and target classes (Trnka et al., 2014).
By identifying the difference in temperature between a decoy and warhead, the satellites would, in theory, be able to guide an interceptor toward the real target, the Pentagon contends.
In 2013 the Southeast Alaska Sperm Whale Avoidance Project (SEASWAP) evaluated the efficacy of an acoustic decoy in reducing encounters between sperm whales and longline fishing gear.
Thus, we hypothesized that N2pc amplitude would be sensitive to the any shifts of attention between the decoy and the target.
ModelND was trained to distinguish only between the decoy and native interfaces, and thus performed poorly on the dissimilar native-native interface pairs.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com