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The model uses experimentally determined kinetics and hydrodynamic correlations from literature.
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The model used experimentally measured extracellular potentials to represent 100 and 150 V shocks delivered through extracellular electrodes.
Next, we identified the relevant parameters of this model using experimentally measured motion data.
In this article, we developed and validated a genome-scale dynamic flux balance model, using experimentally determined kinetic constraints.
Therefore, we have developed support vector machine based regression models using experimentally validated data from ChEMBL repository.
The response of B cells to antigen would then be modeled using experimentally determined rate constants for antigen receptor interaction to obtain receptor occupancy, and a phenomenologic function determined experimentally would relate occupancy and T-cell state to antibody secretion and B-cell proliferation rate.
The predictability observed here reaffirms that while purely in vitro analysis is not sufficient to predict system behavior in cells (κ values for K-loop in Table 1 and Figure 2b), complex regulation systems can be modeled using experimentally obtained parameters.
Here we discuss a method called "model-convolution," which uses experimentally measured noise and blur to simulate the process of imaging fluorescent proteins whose spatial distribution cannot be resolved.
The presented model uses the experimentally measured dynamics of ERK, FRK, and JNK as model input, relating an experimental addition of 100 nM Ang II.
In our model, we use experimentally achieved material parameters such as the absorption coefficients, carrier mobilities, quantum dot concentration, etc. for quantum dots and host material.
A method to model anchor behavior using experimentally calibrated finite element models is given in this paper.
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CEO of Professional Science Editing for Scientists @ prosciediting.com