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To model this reaction analytically in the time domain, we first assume that the siRNA molecules enter the cell one at a time.
In the C. thermocellum and S. cerevisiae models, this reaction is written as, atp + glc-D --> adp + g6p + h while in the Cac1 model, this reaction is written as, ATP + beta-D-Glucose < = > ADP + beta-D-Glucose 6-phosphate and in the Cac2 model, the reaction is written, bDG6P + ADP < -> ATP + bDGLC.
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Residues have been identified that are necessary for substrate interaction, and these observations have suggested a structural model for this reaction.
In this paper we present a model of this reaction system with realistic reaction and reactor parameters, at the conditions mentioned above.
It allowed us to confirm the validity of the three molecular autocatalytic model of this reaction, as well as to obtain reliable kinetic data in programmed temperature mode.
As a representative model of non-linear reaction networks out of equilibrium we consider driven colloidal aggregation, for three reasons: First, it is a complete model since this reaction network comprises all three types of elementary reactions: bimolecular, source (input), and unimolecular [27], rendering the results obtained here valid also for other reaction networks.
One model for this reaction might be the following.
A mathematical model of this reaction network was developed by Chen et al. [ 16].
Myo-inositol is a root-no consumption gap in the iJO1366 model, and this reaction fills this gap.
Our computational model predicts this reaction to be exergonic by 4.8 kcal/mol, thus any (PhO 2BBr generated in the presence of BBr3 will comproportionate to form PhOBBr2.
The currently accepted model attributes this reaction specificity to the existence of an "open" and a "closed" active site conformation, as observed in other members of this family [ 30].
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