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Therefore, three pairwise QA methods (APOLLO, Pcons and ModFOLDclust2) failed to rank the models of good quality at or near the top, whereas some single-model QA methods ranked them higher.
Currently, most protein structure prediction methods use one or at most a few QA methods to rank and select models, generally leading to the poor performance in selecting models of good quality due to the extreme difficulty of ranking models and intrinsic limitations of individual QA methods.
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The so-called Castoven [JP] is based on a conventional, unbranded model of "good quality" but sports a 10.4-inch LCD screen in the door panel.
Overall G factor is also in acceptable range as shown in Table 5 indicating that the designed models are of good quality and acceptable.
Many gene models are of good quality and complete, many transcripts correspond to exactly one gene, and individual genes are generally not multiply assembled, even though Quercus has relatively high genetic variation across individuals.
This makes the predicted contacts not useful in protein modeling, as a (globular) protein with many sequence homologs usually has similar templates in PDB; thus, template-based models are of good quality and hard to be further improved using predicted contacts.
(A and B ) The phases following molecular replacement with the full model were of good quality demonstrated by how well the density surrounding the model fits, even before any refinement is performed.
44, 45 A total QMEAN score of 0.726 and Z-score of −0.50 were calculated, indicating that the model is of good quality.
On one hand, if the score of APOLLO's top one model was >0.3, which generally meant quite some models in the model pool were of good quality due to relatively high pairwise similarity between them, the final ranking was set as the consensus ranking of the 6 QA methods or all 14 QA methods depending on whose top one model was more similar to the top one model of APOLLO than the other.
However, the data used in this model was generally of good quality.
And not surprisingly, the multi-model QA methods outperformed single-model QA methods on template-based human targets whose model pool was often of good quality.
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