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

Primary targets: EGFR · FDA status: FDA Approved

Selectivity scorecard

MeasuredDerived
KISS
99.25
Gini
0.650
CATDS
0.022

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 Gefitinib. Strongest target: EGFR at 99.9% inhibition.

Accessible data table
RankTargetInhibition %Residual activity %
1EGFR99.9%0.1%
2ERBB4_HER496.8%3.2%
3ERBB2_HER292.2%7.8%
4DDR188.3%11.7%
5LYN80.1%19.9%
6LOK_STK1079.2%20.8%
7EPHA677.4%22.6%
8LCK71.4%28.6%
9RIPK371.4%28.6%
10MNK168.7%31.3%
11FLT362.7%37.3%
12IRAK162.4%37.6%
13SIK261.4%38.6%
14SIK157.7%42.3%
15RIPK257.5%42.5%
16MNK254.3%45.7%
17HIPK450.4%49.6%
18BLK49.4%50.6%
19MEK548.5%51.5%
20P38A_MAPK1447.5%52.5%

Selectivity landscape

MeasuredDerived

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

Atlas insights for Gefitinib

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
1865.47
ALLOGRAFT_REJECTION
5591.30
ANDROGEN_RESPONSE
1461.87
ANGIOGENESIS
920.45
APICAL_JUNCTION
6060.96
APICAL_SURFACE
526.47
APOPTOSIS
4714.86
BILE_ACID_METABOLISM
773.95
CHOLESTEROL_HOMEOSTASIS
1000.63
COAGULATION
604.08
COMPLEMENT
3618.17
DNA_REPAIR
1344.71
E2F_TARGETS
3360.77
EPITHELIAL_MESENCHYMAL_TRANSITION
1472.96
ESTROGEN_RESPONSE_EARLY
2011.81
ESTROGEN_RESPONSE_LATE
1910.00
FATTY_ACID_METABOLISM
621.38
G2M_CHECKPOINT
2959.58
GLYCOLYSIS
2071.72
HEDGEHOG_SIGNALING
702.91
HEME_METABOLISM
1304.71
HYPOXIA
3032.00
IL2_STAT5_SIGNALING
2040.22
IL6_JAK_STAT3_SIGNALING
3034.55
INFLAMMATORY_RESPONSE
3366.51
INTERFERON_ALPHA_RESPONSE
560.56
INTERFERON_GAMMA_RESPONSE
4099.81
KRAS_SIGNALING_DN
702.58
KRAS_SIGNALING_UP
2388.80
MITOTIC_SPINDLE
4126.69
MTORC1_SIGNALING
2767.33
MYC_TARGETS_V1
2265.53
MYC_TARGETS_V2
429.66
MYOGENESIS
2126.69
NOTCH_SIGNALING
272.02
OXIDATIVE_PHOSPHORYLATION
1076.54
P53_PATHWAY
2553.39
PANCREAS_BETA_CELLS
195.28
PEROXISOME
822.04
PI3K_AKT_MTOR_SIGNALING
5721.43
PROTEIN_SECRETION
1375.13
REACTIVE_OXYGEN_SPECIES_PATHWAY
390.24
SPERMATOGENESIS
1014.10
TGF_BETA_SIGNALING
1279.77
TNFA_SIGNALING_VIA_NFKB
3038.83
UNFOLDED_PROTEIN_RESPONSE
703.02
UV_RESPONSE_DN
3038.91
UV_RESPONSE_UP
2519.77
WNT_BETA_CATENIN_SIGNALING
1526.11
XENOBIOTIC_METABOLISM
1388.27

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 = 0.851

SampleCancer typecos to ideal
EPT0291EPN0.851
SRR233037520.846
TCGA-CF-A5U8-01A-11R-A28M-070.831
SRR122024980.831
aMVAC.P_005_TURBT_S2230.831

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