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

Primary targets: ERBB2_HER2 · FDA status: FDA Trials Discontinued

Selectivity scorecard

MeasuredDerived
KISS
96.49
Gini
0.671
CATDS
0.014

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 Canertinib. Strongest target: TXK at 100.0% inhibition.

Accessible data table
RankTargetInhibition %Residual activity %
1TXK100.0%0.0%
2BLK99.7%0.3%
3ERBB4_HER499.6%0.4%
4BMX_ETK99.4%0.6%
5ERBB2_HER299.4%0.6%
6BTK99.3%0.7%
7JAK398.9%1.1%
8DDR198.5%1.5%
9EGFR98.4%1.6%
10LCK97.7%2.3%
11ITK96.9%3.1%
12LYN95.2%4.8%
13EPHA692.1%7.9%
14ABL191.6%8.4%
15RET88.0%12.1%
16YES_YES187.8%12.2%
17FGR87.3%12.7%
18RIPK287.1%12.9%
19MNK287.0%13.0%
20EPHB486.9%13.1%

Selectivity landscape

MeasuredDerived

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

Atlas insights for Canertinib

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
2717.55
ALLOGRAFT_REJECTION
9759.94
ANDROGEN_RESPONSE
1855.18
ANGIOGENESIS
1711.40
APICAL_JUNCTION
9865.67
APICAL_SURFACE
1047.72
APOPTOSIS
7401.29
BILE_ACID_METABOLISM
1149.80
CHOLESTEROL_HOMEOSTASIS
1689.69
COAGULATION
1061.65
COMPLEMENT
5881.06
DNA_REPAIR
1968.38
E2F_TARGETS
4549.25
EPITHELIAL_MESENCHYMAL_TRANSITION
2010.04
ESTROGEN_RESPONSE_EARLY
3151.17
ESTROGEN_RESPONSE_LATE
2930.94
FATTY_ACID_METABOLISM
764.76
G2M_CHECKPOINT
4702.23
GLYCOLYSIS
2521.82
HEDGEHOG_SIGNALING
1076.35
HEME_METABOLISM
2133.14
HYPOXIA
4211.26
IL2_STAT5_SIGNALING
3257.72
IL6_JAK_STAT3_SIGNALING
4773.45
INFLAMMATORY_RESPONSE
5367.50
INTERFERON_ALPHA_RESPONSE
938.64
INTERFERON_GAMMA_RESPONSE
6483.05
KRAS_SIGNALING_DN
958.99
KRAS_SIGNALING_UP
3704.83
MITOTIC_SPINDLE
6785.69
MTORC1_SIGNALING
3881.60
MYC_TARGETS_V1
3128.58
MYC_TARGETS_V2
685.60
MYOGENESIS
3159.74
NOTCH_SIGNALING
285.54
OXIDATIVE_PHOSPHORYLATION
1413.68
P53_PATHWAY
4021.11
PANCREAS_BETA_CELLS
317.20
PEROXISOME
1243.06
PI3K_AKT_MTOR_SIGNALING
9077.51
PROTEIN_SECRETION
2150.01
REACTIVE_OXYGEN_SPECIES_PATHWAY
611.98
SPERMATOGENESIS
1285.68
TGF_BETA_SIGNALING
1987.40
TNFA_SIGNALING_VIA_NFKB
4538.95
UNFOLDED_PROTEIN_RESPONSE
1248.65
UV_RESPONSE_DN
4865.43
UV_RESPONSE_UP
3690.23
WNT_BETA_CATENIN_SIGNALING
2174.47
XENOBIOTIC_METABOLISM
2179.77

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 = 0.836

SampleCancer typecos to ideal
EPT0291EPN0.836
SRR233037520.835
SRR108999840.823
aMVAC.P_005_TURBT_S2230.821
TCGA-CF-A5U8-01A-11R-A28M-070.820

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