Research Use Only. KIRhub outputs are computational research artifacts. They are not validated for clinical decision-making, diagnosis, or treatment.

Primary targets: ROCK1, ROCK2 · FDA status: FDA Approved

Selectivity scorecard

MeasuredDerived
KISS
93.22
Gini
0.676
CATDS
0.012

Computed from wild-type kinome inhibition at 1 μM. Gini reproduces the published values within tolerance; KISS and CATDS are computed but pending reconciliation with the paper's reference code.

Polypharmacology radar

MeasuredDerived

Top 20 strongest-inhibited wild-type kinases for Netarsudil. Strongest target: P70S6K_RPS6KB1 at 99.7% inhibition.

Accessible data table
RankTargetInhibition %Residual activity %
1P70S6K_RPS6KB199.7%0.3%
2PKCD99.4%0.6%
3ROCK199.3%0.7%
4MSK2_RPS6KA499.1%0.9%
5PRKX98.3%1.7%
6P70S6KB_RPS6KB298.2%1.8%
7PKG1A97.3%2.7%
8PKCEPSILON97.3%2.7%
9PKACB97.2%2.8%
10MSK1_RPS6KA597.1%2.9%
11PKCETA97.0%3.0%
12PKA96.6%3.4%
13RSK396.6%3.4%
14ROCK296.0%4.0%
15STK38_NDR195.8%4.2%
16PKG2_PRKG295.7%4.3%
17PKACG95.4%4.6%
18STK38L_NDR295.0%5.0%
19DMPK294.8%5.2%
20PKD2_PRKD294.6%5.4%

Selectivity landscape

MeasuredDerived

Where Netarsudil sits in the 92-drug selectivity landscape (KISS vs Gini). The highlighted point is Netarsudil.

Atlas insights for Netarsudil

MeasuredReference

Pathway-space view of what this drug actually does, drawn from the Pathway Atlas.

On-target vs off-target shadow

DerivedMeasured

How much of this drug's pathway perturbation comes from primary targets vs polypharmacology vs 2nd-order propagation. When off-target dominates, the FDA label is the smallest description of the drug.

On-target0%
Off-target100%
Ghost (2nd-order)0%
PathwayCompositionTotal |Π|
ADIPOGENESIS
1866.69
ALLOGRAFT_REJECTION
2431.01
ANDROGEN_RESPONSE
1289.93
ANGIOGENESIS
732.85
APICAL_JUNCTION
4394.71
APICAL_SURFACE
523.79
APOPTOSIS
4737.24
BILE_ACID_METABOLISM
615.06
CHOLESTEROL_HOMEOSTASIS
490.11
COAGULATION
922.66
COMPLEMENT
2337.62
DNA_REPAIR
888.50
E2F_TARGETS
3736.15
EPITHELIAL_MESENCHYMAL_TRANSITION
1519.62
ESTROGEN_RESPONSE_EARLY
1834.59
ESTROGEN_RESPONSE_LATE
1881.63
FATTY_ACID_METABOLISM
312.35
G2M_CHECKPOINT
3976.82
GLYCOLYSIS
1928.79
HEDGEHOG_SIGNALING
690.96
HEME_METABOLISM
2180.93
HYPOXIA
3216.89
IL2_STAT5_SIGNALING
1660.64
IL6_JAK_STAT3_SIGNALING
1593.32
INFLAMMATORY_RESPONSE
2482.81
INTERFERON_ALPHA_RESPONSE
331.98
INTERFERON_GAMMA_RESPONSE
2274.05
KRAS_SIGNALING_DN
619.71
KRAS_SIGNALING_UP
1616.26
MITOTIC_SPINDLE
3640.10
MTORC1_SIGNALING
2333.41
MYC_TARGETS_V1
2386.53
MYC_TARGETS_V2
643.13
MYOGENESIS
2986.67
NOTCH_SIGNALING
264.75
OXIDATIVE_PHOSPHORYLATION
903.37
P53_PATHWAY
2733.41
PANCREAS_BETA_CELLS
571.98
PEROXISOME
647.91
PI3K_AKT_MTOR_SIGNALING
5465.69
PROTEIN_SECRETION
1228.19
REACTIVE_OXYGEN_SPECIES_PATHWAY
131.66
SPERMATOGENESIS
1582.74
TGF_BETA_SIGNALING
1481.12
TNFA_SIGNALING_VIA_NFKB
3072.35
UNFOLDED_PROTEIN_RESPONSE
1022.34
UV_RESPONSE_DN
2630.84
UV_RESPONSE_UP
1833.44
WNT_BETA_CATENIN_SIGNALING
1063.64
XENOBIOTIC_METABOLISM
1151.73

See this drug on the perturbation map →

Anti-tumor matches — the "ideal patient" search

ModeledDerived

Top 5 real tumors closest to this drug's ideal patient (the tumor whose pathway state = −Π_d). Closest match cosine = 0.839

SampleCancer typecos to ideal
EPT0291EPN0.839
TCGA-CF-A5U8-01A-11R-A28M-070.831
SRR233037520.826
b6a7e87e-2674-4a48-a3c2-c8a9806762b50.822
R2470.818

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