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Exact(48)
In our modelling, first the strongest binding sites were predicted and next we gradually increased the adatoms coverage until the maximum capacity was reached.
Potential ligand binding sites were predicted by PocketPicker [21], [22].
Four more E2F binding sites were predicted in further upstream regions.
Next, transcription factor binding sites were predicted on human PIK3CA 5'TRR in silico by GenomatiX (http://www.genomatix.de/index.html).html
Moreover, putative σ54 binding sites were predicted upstream of P11 and P30 [7] in Pseudomonas sp. and of sraJ/ryiA [11], [57] in several strains of Enterobacteriaceae.
Of the transcription factors whose binding sites were predicted in this study, 37 had forty or more binding sites throughout the S. cerevisiae genome.
Similar(12)
This result is consistent with model prediction, where all the three AP-1-related binding sites are predicted to contribute to the under- expression in androgen-independent samples (TF < 0, Table 1).
Several Dl binding sites are predicted between −2.0 to −4.0 kb.
A stronger Shn binding sites are predicted further upstream by Stubb and Phylogibbs.
Many visceral mesoderm factor binding sites are predicted in this region.
Similarly, several Bin binding sites are predicted by both Stubb and PhyloGibbs between −1.0 to −3.0 kb (Figure 6).
More suggestions(17)
binding sites were indicated
binding sites were calculated
binding sites were inferred
binding sites was predicted
binding sites were confirmed
binding sites were eliminated
binding domains were predicted
binding sites were examined
binding sites were detected
binding modes were predicted
binding sites were implicated
binding pockets were predicted
binding sites were required
binding sites were blocked
binding energies were predicted
binding sites were studied
binding sites were enriched
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