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For impens and schilling datasets, 1-item frequent items are ranked in the first ten where percentage of cleavage dataset is higher for one of them; equal for cleavage and non-cleavage.
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We therefore expected to observe high frequency cleavage by this nucleosome in our cleavage datasets.
There are 46 segments in the budding yeast genome that are at least 90% AT-rich over 83-bp, the median length of CDEII, and all of them are under-represented relative to expectation in our cleavage datasets.
Remaining eight patterns are mostly observed for non-cleavage datasets.
For 746 dataset, 5 cleavage and 5 non-cleavage; for 1625 dataset, one cleavage and nine non-cleavage and for Impens and Schilling datasets; all patterns are mostly found in non-cleavage instances.
To further evaluate the performance of the PSSM-based algorithm in our context, we constructed PSSMs derived from our entire dataset of cleavage sites, and found that the AROC scores of the PSSM-based predictors were generally poorer than our SVM-based classifiers (data not shown).
In all, eight datasets were constructed: the tetrapeptide cleavage site sequences (referred to as P4P1 dataset) and sequences containing residues extended to P14 and P10' (P2P2', P4P2', P4P4', P6P6', P8P8', P10P10' and P14P10' datasets).
Peptides resulting solely from tryptic cleavage were removed from the dataset, leaving a collection of 13 unique proteins with semi-tryptic cleavage sites (Table S7).
We have compiled a comprehensive dataset of granzyme B cleavage sites and developed an accurate SVM-based prediction method utilizing Bayes Feature Extraction to identify novel substrates of granzyme B in silico.
For 1625 dataset, six of them are cleavage and three of them are non-cleavage instances; one pattern is equally distributed between both.
Although there are several datasets as completely described in [13], some patterns for cleavage have been elicited particularly in the 746-dataset.
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