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Exact(10)
It should, however, be taken into consideration that many structures in our dataset were determined using only a fraction of the actual binding partner, allowing for more flexibility in the protein's termini, which would be restrained in the full protein.
As only two previously published studies [15], [35] allow comparisons across the whole Pvama1 ectodomain, FST values in our dataset were determined across the whole gene and for each of the domains separately.
The dataset was originally prepared using the following criteria: all the structures in this dataset were determined using X-ray crystallography with resolution ≤2.0 Å, R-factor ≤0.25 and R-free factor ≤0.25; sequence length should be greater than 60 amino acid residues and without any chain breaks; each two sequences have sequence identity less than 30%.
Thus, nearly 76% of the reference structures in this dataset were determined by in vitro methods.
The best fitting substitution models for each dataset were determined with the Akaike Information Criterion AICC) using ModelTest 3.06 [ 87].
Promoter regions (-1,000 to +200) of more than 70% of genes in the total dataset were determined by aligning full-length cDNA with corresponding genomic loci.
Similar(50)
Each class in our dataset was determined by the positivity of arousal and valence ratings.
Then, similarity between the retina image of test person and all retina images in dataset is determined.
The rigid transformation for optimal alignment of the target CT to the reference CT dataset is determined.
The number of occurrence of each of the 111 substructures in the actives and the inactives dataset was determined.
The final performance per dataset was determined by context configuration (random selection, missing values, imbalance dataset, outliers, and other machine learning strategies).
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CEO of Professional Science Editing for Scientists @ prosciediting.com