Sentence examples for scoring clusters from inspiring English sources

By comparing the predictions directly instead of aligning individual binding sites and subsequently scoring clusters in which those sites were found, we introduced different assumptions about the functional relevance of unconserved sites.

Finally, we assessed how many runs succeeded to identify near-native models (defined as models with ≤2 Å peptide interface backbone RMSD in the top 10 scoring clusters; see Methods).

A summary of the highest scoring clusters is given in Table 1[ 29- 31].

This approach identified two high scoring clusters each containing <25 proteins.

The top scoring clusters included processes related to the biosynthesis and processing of nucleotides, RNA, proteins and ATP, and to transport, proteasome and metabolism.

Top ten high scoring clusters from HADDOCK web server showed that the ERK peptide always docked into the predicted catalytic pocket (supplementary fig. S1 B in supplementary file S2, Supplementary Material online).

By fitting the scored clusters to the model, we found a crypt fission rate of fWT = 0.01 ± 0.002 per 8 weeks per crypt.

A) The highest scoring cluster obtained using the search procedure with up to one gene per each CNV region.

We found this value of k to be equal to 5, yielding a lower scoring cluster with an SEM of 0.079 and a higher scoring cluster with an SEM of 0.032.

Figure 5b shows a high scoring cluster that is not a clique.

Firstly, the high scoring PIPS cluster significantly differed from the low scoring cluster in six out of seven measures with the high scoring group reporting more pain, fibromyalgia impact, depression, anxiety, catastrophizing as well as less pain acceptance and mindfulness.