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While carrying out optimization studies on kinetic scheme based models of polymerization reactions, there are kinetic parameters that need to be tuned with process data during model building exercise and henceforth assumed constant during the entire course of optimization studies.
This effect is consistent with the three extant models of polymerization.
The Förster radius of this pair is ∼60 Å (1 Å=0.1 nm) [ 26], which makes them useful at distances predicted by the different models of polymerization to arise between monomers in a repeating polymer [ 14, 15, 25, 27, 28].
The extant models of polymerization predict burial of at least some of the residues in the P14 to P4 region, and it has been found that oligomerization is blocked by peptides spanning P7-P2 [ 35, 36] with the critical sites of interaction found to be P6 and P4 [ 37].
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An accurate quantitative knowledge of olefins solubility in polyolefins is essential for the detailed design and modelling of polymerization reactors.
Researchers have attempted first principles modeling of polymerization processes to estimate end use properties.
In this article we use computational modeling of polymerization reactions to identify inherent factors which cause the widely observed deviation of chain length distributions in CTP products from the Poisson distribution expected for ideal living polymerizations.
The FRAP experiments allowed them to discriminate between different models of actin polymerization.
In all our models of RNA polymerization, we have made the simplification of ignoring nucleotide sequences and keeping track only of polymer length.
It can be seen, compared with results of un-polymerization model the results of polymerization model based on Copula function are closer to those of historical wind speed.
It would be possible to consider a model for polymerization of four nucleotides in which the base sequence of each polymer in the mixture is stored in memory.
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