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Based on their structural fold and mode of tRNA binding these enzymes have been classified into class I and II aaRSs [ 16– 16].
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A similar effect can be achieved by apriori filtering of candidate model structures based on their structural properties.
Based on their structural data and predicted domain structures, CRM domain proteins were suggested to have RNA-binding activity [ 12].
It has been proposed that hMBLs evolved from an ancestor of the class B1 B2 prokaryotic MBLs based on their structural similarity (35, 51), but it is also possible that eukaryotic MBL-fold proteins evolved from Class B3 bacterial MBLs, or from an ancient ancestor common to all three bacterial MBL classes.
It is hypothesized that proteins are not only subject to selective pressure based on their structural properties, but also their local dynamic properties.
It means the training set members are firstly grouped together based on their structural similarity.
Madden et al. (2006) hypothesized that NPs differentially bind metal ions based on their structural configuration.
Kinases were recently classified in three major groups based on their structural properties [1].
This classifier was then used to predict the status of the test participant based on their structural scan alone.
Fish AFPs are classified into antifreeze glycoproteins (AFGPs) and type I to IV AFPs based on their structural diversity [2].
Neurons were identified based on their structural similarities to the previously described Golgi-stained neurons in Drosophila [1].
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CEO of Professional Science Editing for Scientists @ prosciediting.com