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Gene expression microarrays have been broadly and successfully used to study the molecular pathophysiology of diseases [5 8] and drug mode of action [9 12].
To guarantee that we had selected a robust function set of genes for drugs and diseases, we included other functionally related genes, thereby extending our understanding for drug mode of action or disease pathophysiology.
The QUICS method has been used successfully for diverse experimental studies including disease biomarker identification, drug mode of action, toxicology, aging and characterization of variation in complex mixtures such as milk and on a variety of sample matrices (e.g., biological fluids, tissue, milk) [17 22].
Transcriptional responses to small molecules can provide insights into drug mode of action (MOA).
Roughly speaking, both human diseases and drug mode of action have a module basis on gene expression level.
This feature makes them a natural frame to study drug mode of action, as they can accommodate detailed molecular mechanisms.
Similar(37)
Rotational-echo double-resonance (REDOR) NMR is a powerful and versatile solid-state NMR measurement that has been recruited to elucidate drug modes of action and to drive the design of new therapeutics.
Here, we describe a genome-wide screening platform that uses systematic overexpression of pooled human ORFs to understand drug mode-of-action and resistance mechanisms.
Having calibrated our screen and analysis to detect both drug sensitivity and resistance, we used the same approach to study drug mode-of-action for the 50 drugs summarized in Table 1.
Aside from drug repositioning, the network map of PharmDB composed of not only the data integrated from diverse databases but also the predicted data using the shared neighborhood algorithm can applied to other purposes, such as the prediction of drug mode-of-action, off-target effects, and even the design of optimal drug combinations for a disease of interest.
We focused on three drug modes of action, including binding, activation and inhibition.
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