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Enzymes are the crucial tool for achieving such bottom-up analyses of LMWHs.
Bottom-up analyses are based on the integration between systems pharmacology and genome medicine.
However, these studies still lag behind the capabilities of bottom-up analyses by an order of magnitude in regard to protein identification and require greater sample consumption.
Although challenging, traditional MS-based bottom-up analyses allow the identification and characterisation of PTMs without prior knowledge of the modification site or type (reviewed in [ 6]).
We hypothesize, as do many researchers in the top-down proteomics field, that the information obtained from precise, comprehensive whole-protein analysis will be connected more directly to complex disease phenotypes than information gained from bottom-up analyses.
The bottom-up analyses were able to identify that there were multiple phosphorylated sites on the protein, but they were all present on different tryptic peptides, making observation of all sites at the same time impossible using bottom-up methods.
According to the results of the top-down and the bottom-up analyses, we came to three conclusions: 1) the single-regulation motifs tend to regulate genes with PPIs.
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First, more bottom-up COI analyses and program costs analyses in Canadian settings are needed to guide economic evaluation of and resource allocation for obesity prevention programs.
This sheath-flow nanospray interface has been applied to a number of bottom-up proteomics analyses.
This approach can be divided into 2 categories: the first uses detailed, bottom-up, step-down analyses of accounting to distribute shared costs across the activities considered (also called ingredients approach).
Mass spectrometry-based analysis of DNA modifications traditionally has been a bottom-up approach where analyses focus on small numbers of anticipated DNA adducts based on a priori assumptions regarding the formation of specific adducts and in vitro analysis.
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