Your English writing platform
Discover LudwigExact(60)
A mathematical model was generated to predict the composition of the outlet gas of ozone generators.
DMPO OH adduct was generated to detect ·OH levels.
A fingerprint was generated to describe 3D protein ligand interactions in the active site of aromatase.
A diabody without C-terminal cysteine was generated to evaluate the effect of the additional cysteine.
A preference matrix was generated to find extremum and ranking of intervals.
The data was generated to make specific decisions, which are already made.
A three-factor, five-level central composite design was generated to optimize the TET-LCNP preparation.
Nagelkerke R square was generated to express the proportion of variance explained by the model.
A Skyline human ZG protein spectral library was generated to facilitate the development of SRM transitions.
After spontaneous 1,6-elimination, HPQ molecule was generated to emit fluorescence under the excitation light.
Artificial neural network (ANN) model was generated to validate the RSM predictions.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com