SARS-CoV-2–host proteome interactions for antiviral drug discovery

dc.contributor.affiliationUniversity of Helsinki-Markku Varjosalo
dc.contributor.authorMarkku Varjosalo
dc.date.accessioned2025-04-29T13:59:34Z
dc.date.issued2021-09-29
dc.date.issued2021-09-29
dc.descriptionImages and datasets used in Fig 6 and corresponding supplementary material Image analysis was performed with Harmony 4.9 software (PerkinElmer) with feature extraction and linear classification of N-protein positive cells from the total population as presented in the PlateResults file. Prism files (GraphPad Software) include the calculations for curve fits of drug testing data (4PL logistic regression) as well as area under the curve (AUC) of the fitted curves..
dc.identifierhttps://doi.org/10.5281/zenodo.5534941
dc.identifier.urihttps://datakatalogi.helsinki.fi/handle/123456789/4356
dc.rights.licensecc-by-4.0
dc.subjectFunctional drug testing
dc.subjectImage-based drug testing
dc.subjectcurve fit
dc.subjectAUC
dc.titleSARS-CoV-2–host proteome interactions for antiviral drug discovery
dc.typedataset
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