2017
DOI: 10.7717/peerj-cs.129
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DOSCHEDA: a web application for interactive chemoproteomics data analysis

Abstract: Background. Mass Spectrometry (MS) based chemoproteomics has recently become a main tool to identify and quantify cellular target protein interactions with ligands/drugs in drug discovery. The complexity associated with these new types of data requires scientists with a limited computational background to perform systematic data quality controls as well as to visualize the results derived from the analysis to enable rapid decision making. To date, there are no readily accessible platforms specifically designed… Show more

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Cited by 4 publications
(4 citation statements)
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“…(D) Impact of CP and PP on the proteome. Chemical proteomics data have been analyzed with DOSCHEDA and plotted as average fold change versus P value for proteins quantified. BCL6 (green), CK2 subunits (CSNK2A1, CSNK2A2, CSNK2B), and CK2 binding partners (EIF3J, DEK) are highlighted on each plot.…”
Section: Resultsmentioning
confidence: 99%
“…(D) Impact of CP and PP on the proteome. Chemical proteomics data have been analyzed with DOSCHEDA and plotted as average fold change versus P value for proteins quantified. BCL6 (green), CK2 subunits (CSNK2A1, CSNK2A2, CSNK2B), and CK2 binding partners (EIF3J, DEK) are highlighted on each plot.…”
Section: Resultsmentioning
confidence: 99%
“…Confirmation of direct target engagement via in-cell chemical proteomic experiments at concentrations 1, 10, and 30 μM of AZ1422 with 1 μM fixed concentration of photoprobe 1 . Data were analyzed using DOSCHEDA . Increased fold change upon an increased dose of AZ1422 is indicative of MCT4-specific interactions.…”
Section: Resultsmentioning
confidence: 99%
“…Chemoproteomic and KAT pull-down data were analyzed using the Down Stream Chemoproteomics Data Analysis (DOSCHEDA) program. 26 Briefly, the data were taken directly from Proteome Discoverer using both linear and nonlinear models to provide a ranking of the protein(s) most competed and to generate the sigmoidal concentration response curves. Proteins passing cutoff criteria q < 0.01 (Benjamini-Hochberg corrected p-values) were considered as significant hits.…”
Section: -((mentioning
confidence: 99%