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For the present study, semi-distributed and semi-lumped model structures outperformed the distributed and fully-lumped model structures.
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Although ultimately neither the homology model nor induced fit structures outperform the parent PI3K δ structure, 2WXL; this induced fit modeling approach is clearly useful for the development of homology models with good ability to discriminate active compounds from compounds in the decoy set.
In conclusion, proposed II structure outperformed all other structures in the experiments.
In general, it was found that the solubility model of Sovová outperformed the other evaluated correlations, and for the general rate model the Toth partition isotherm was also found in the top model structures.
RactIP is comparable in accuracy to inRNAs (the joint structure prediction model) and outperforms inteRNA and rip for joint structure prediction.
Notably, the meta-dimensional model outperformed the model with single level of genomic data only.
Crystal structures significantly outperformed homology models in both assessments.
Again, the Skellam model outperformed the Poisson model.
The GRNN model significantly outperformed all these correlations.
In addition, model 3 outperformed model 2 as the level of differentiation increased.
Our model significantly outperformed three other widely used existing methods.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com