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Second, the protein families represented in today's sequence databases are often more complex, with multidomain architectures, large unstructured (natively disordered) regions, numerous splicing variants, etc. Third, the new sequences are mostly predicted by automatic methods and thus, contain a significant number of sequence errors [33], [34].
In the human lineage, W→S substitution rates are mostly predicted by meiotic recombination, whereas in the mouse lineage, they are mostly predicted by CpG odds ratio.
Coding regions are mostly predicted by automatic methods, but the relationship between genes, transcripts and proteins is complex and automated genome annotation is not completely accurate.
The genes in one of the top 211 lists are mostly predicted to have higher probabilities to be cell cycle ones in the other model.
The NDC type proteins, so named for their similarity to a cyanobacterial NADH dehydrogenase, and are mostly predicted to be targeted to plastids [ 22].
This plot indicates that most of the LEA proteins are unstructured, whereas those proteins we annotated as not being LEAs (Additional file 1) together with seed storage proteins from Arabidopsis are mostly predicted to be folded.
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The elastic modulus, autogenous shrinkage, and stress-independent strain were mostly predicted within a 10% error range.
The experimental results indicated that subject selection patterns were mostly predicted based on gain-loss frequency.
Changes in thyroid hormone concentrations were mostly predicted by baseline hormone concentrations.
For example, phosphate is mostly predicted to be exported, while it is reported to be taken up [ 64].
MiRNA target genes were mostly predicted through bioinformatics software, and miRNA binding sites in most species are in 3′-untranslated regions of the target gene.
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