Dataset Open Access

Differential Scanning Fluorimetry of Nsp3 macrodomain of SARS-CoV-2

Taiasean Wu; Jason Gestwicki

This folder contains DSF data presented for the manuscript "Fragment Binding to the Nsp3 Macrodomain of SARS-CoV-2 Identified Through Crystallographic Screening and Computational Docking" published in Science Advances in 2021.

It contains the raw data, in both normalized and non-normalized form, as well as the apparent melting temperatures. 
For convenience, each dataset is included in at least two different formats, but the data is the same between the differently-formatted files. 

The raw data, as seen in Supplementary Figure 9, and Supplementary Dataset 2
(Files 1-4 contain identical data, in different formats, for user convenience)
File 1 - To read into R as "long form" data, both normalized and non-normalized RFU: 2021_sci_advances_nsp3_mac1_dsf_raw_data_long_form.rds
File 2 - A csv, identical in structure to File 1: 2021_sci_advances_nsp3_mac1_dsf_raw_data_long_form.csv
File 3 - A csv containing "wide-form" RFU data: 2021_sci_advances_nsp3_mac1_dsf_raw_rfu_data_wide_form.csv
File 4 - A csv containing "wide-form" normalized RFU data: 2021_sci_advances_nsp3_mac1_dsf_raw_rfu_data_normalized_wide_form.csv

The Tma data, as seen in Supplementary Figure 9, Supplementary Dataset 1, and Supplementary Dataset 2: 
(Files 5-6 contain identical data, in different formats, for user convenience)
File 5 - To read into R as "long form" data: 2021_sci_advances_nsp3_mac1_dsf_tmas.rds
File 6 - A csv, identical in structure to File 5: 2021_sci_advances_nsp3_mac1_dsf_tmas.csv

Files (3.0 MB)
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DSF.zip
md5:c4549bd5189092ddd2a7a5bd5c887612
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