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Comparing the three approaches demonstrated that the second produced more exhaustive results, but de novo prediction revealed identical results that could be used as in a predictive and quantification strategy for species for which no or only a few miRNA have been reported in miRBase and whose genome is not fully known.
Results of ADME prediction revealed that most of these compounds showed in silico drug-likeliness properties within the ideal range.
The prediction revealed that for stationary condition, narrower channel with wider rib spacing gives higher performance but opposite results when automotive condition is applied.
The investigation of effects of soil moisture on runoff prediction revealed that the addition of soil moisture data, along with rainfall, tremendously improves the performance of the model.
Domain prediction revealed a TIR structure between 1 and 87 amino acids that had a maximum identity of 58%and7676% with TLR2 – TIR protein of teleost fishes and higher mammals respectively.
Which leads to a rule of thumb: "Never trust a prediction revealed after its outcome".
Subcellular localization and transmembrane structure prediction revealed that these two genes had 13 and 11 transmembrane helices respectively.
Microbiota function prediction revealed that most of the metabolic pathways in the GIT are related to carbohydrate metabolism.
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Morphologic prediction reveals a plate-like morphology, dominated by the {001}, {010}, and {100} surfaces, consistent with experimentally grown crystals.
Secondary structure prediction reveals the presence of a conserved α-helical domain in the central to C-terminal regiof of the merlin proteins of various species.
Transcription factor binding site (TFBS) prediction reveals correlation of tissue-specific expression patterns and the presence of distinct TFBS signatures in the upstream region of human imprinted genes.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com