TB PROSPECT - Reference-based chemical-genetic interaction profiling to elucidate small molecule mechanism of action in Mycobacterium tuberculosis

Bond, Austin;Orzechowski, Marek;Zhang, Shuting;Ben-Zion, Ishay;Lemmer, Allison;Garry, Nathaniel;Lee, Katie;Chen, Michael;Delano, Kayla;Gath, Emily;Lorelei Golas, A.;Nietupski, Raymond;Fitzgerald, Michael;Ehrt, Sabine;Rubin, Eric J.;Sassetti, Christopher M;Schnappinger, Dirk;Shoresh, Noam;Hunt, Diana;Gomez, James E.;Hung, Deborah T.

Description

See "Data files-README.md" for description of each data archive (TAR/GZIP). The processed strain inhibition data is located in sGR_reference_set_gsk_brd4310_archive.tar.gz. TB PROSPECT standardized Growth Rate (sGR) scores of 333 hypomorphs and 7 WT H37Rv control strains against each compound-concentration (condition) from a 437 compound reference set with existing, published MOA screened in dose-response, 173 GSK compounds from a publicly released antitubercular collection that were screened blinded and in dose-response, and BRD4310 pre-selected from an unbiased chemical library and screened in dose-response. As described in "Data files-README.md", the other archived data files are inputs or results from the application of our reference-based MOA prediction method, PCL analysis, based on comparing chemical-genetic interaction profiles of test compounds to those of the reference set compounds with annotated MOA. GCTx format is a binary file used to store the scores in matrix format with annotated row and column metadata in a compressed, memory-efficient manner. Code libraries in Matlab (cmapM), Python (cmapPy), and R (cmapR) are publicly available on Github to work with it. The GCT format can be visualized, sorted, and filtered on Morpheus, https://software.broadinstitute.org/morpheus.

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Mentions (0)

Metrics

Dataset Index

0.9

FAIR Score

88%

Citations

1

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

figshare

License

Creative Commons Zero v1.0 Universal

Assigned Domain

Subfield

Molecular Biology

Field

Biochemistry, Genetics and Molecular Biology

Domain

Life Sciences

Confidence Score

52%

Source

Scholar Data Model

Keywords

Microbial GeneticsComputational BiologyInfectious DiseasesFOS: Health sciencesBioinformaticsFOS: Computer and information sciencesMicrobiologyFOS: Biological sciencesBiologically Active Molecules

Normalization Factors

FT

53.85

CTw

1.00

MTw

1.00