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Second, functional gene expression and binding data used in our work often originated from different studies.
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Filenames and URLs for the transcription factor binding site ChIP-seq data used in the study.
A second potential artefact is quality control in the transcription factor binding site data used.
The last approach is similar to the fourth but instead of using in vivo Tup1 binding data we used the change in expression for downstream genes in a tup1Δ [7].
Prompted by this comment, we have re-evaluated fitting the Hill model to the binding data and used an alternative binding model (in the text and Figure 2d).
We plan to extend the current work by performing all-atom MD simulations of selected peptides complexed with an Elk-1 ETS domain to assess the stability of the complexes, whilst incorporating any induced fitting of the peptides and obtain accurate binding data for use in designing future docking studies of optimised peptides.
In the second part of the model the binding data is used to predict probe intensity for Affymetrix arrays.
The averaged binding data were used to calculate the Kd.
In order to avoid overfitting, binding data for the MHC allotype of interest was omitted from the training data used to fit the MultiRTA prediction model.
In this study, we integrated plasma concentrations, in vitro/in vivo data for receptor or protein binding, and in silico data, using a physiologically based pharmacokinetic model, to examine the predictability of receptor occupancy in humans.
Most approaches either impose a threshold to filter RBPs binding data or use gene expression data in combination with mRNA half-lives to identify stability motifs associated with RBPs.
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