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. 2021 Oct 1;16(10):e0257911. doi: 10.1371/journal.pone.0257911

Table 2. Genes interacting with four drugs in the Johnson et al (2019) dataset (with outlier negative slope in CGA-LMM model and Zrobust<-3.5).

drug Significantly interacting genes (slope<0, Zrobust<-3.5) (rank # out of 152 genes in hypomorph library) Zrobust
trimethoprim #1: lipA—lipoyl transferase -9.6
#2: trpG—aminodeoxychroismate synthase -9.5
#3: desA1—fatty acid desaturase -4.4
#4: nusA–transcription termination/antiterm. protein -3.8
methotrexate #1: trpG—aminodeoxychroismate synthase -6.0
#2: gyrA—DNA gyrase -4.8
#3: ftsK—ATPase involved in cell division -4.2
#4: gca—GDP-mannose dehydratase -3.0
rifampin #1: dapF—diaminopimelate epimerase -6.4
#2: Rv3267 -6.1
#3: desA1—fatty acid desaturase -4.3
#4: acn—aconitase -3.9
. . . ---
#14: rpoB—RNA polymerase beta subunit -1.7 (n.s)
BRD-4592 #1: desA1—fatty acid desaturase -5.0
#2: ftsK—ATPase involved in cell division -4.3
#3: Rv3267 -4.1
#4: dapF—diaminopimelate epimerase -3.9

Out of a library of 155 genes, there were 4 genes with outlier negative slopes for each drug. Genes relevant to the mechanism of resistance are bold-faced. Note that rpoB was ranked highly for rifampin, though it did not exceed the Zrobust cutoff (n.s. = not significant). Also, the expected target of BRD-4592, trpA, was not represented in the hypomorph library.