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

Primary targets: EGFR, ERBB2_HER2 · FDA status: FDA Approved

Selectivity scorecard

MeasuredDerived
KISS
99.25
Gini
0.616
CATDS
0.038

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 Lapatinib. Strongest target: EGFR at 99.2% inhibition.

Accessible data table
RankTargetInhibition %Residual activity %
1EGFR99.2%0.8%
2ERBB4_HER497.8%2.2%
3ERBB2_HER295.8%4.2%
4RIPK352.5%47.5%
5SLK_STK251.5%48.5%
6ARAF47.3%52.7%
7CAMKK237.0%63.0%
8PKMYT131.1%68.9%
9BRK30.3%69.7%
10RAF129.6%70.4%
11RIPK428.9%71.1%
12ERN1_IRE128.5%71.5%
13TRPM7_CHAK125.7%74.3%
14TLK125.0%75.0%
15PKCNU_PRKD321.9%78.1%
16PDK2_PDHK221.4%78.6%
17HASPIN20.8%79.2%
18NEK820.0%80.0%
19IKKA_CHUK20.0%80.0%
20TTBK219.9%80.1%

Selectivity landscape

MeasuredDerived

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

Atlas insights for Lapatinib

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
743.50
ALLOGRAFT_REJECTION
1754.48
ANDROGEN_RESPONSE
932.20
ANGIOGENESIS
440.61
APICAL_JUNCTION
2549.03
APICAL_SURFACE
304.79
APOPTOSIS
2061.13
BILE_ACID_METABOLISM
351.20
CHOLESTEROL_HOMEOSTASIS
641.95
COAGULATION
216.00
COMPLEMENT
1573.72
DNA_REPAIR
604.51
E2F_TARGETS
1699.92
EPITHELIAL_MESENCHYMAL_TRANSITION
608.31
ESTROGEN_RESPONSE_EARLY
931.96
ESTROGEN_RESPONSE_LATE
701.63
FATTY_ACID_METABOLISM
230.56
G2M_CHECKPOINT
1128.32
GLYCOLYSIS
878.12
HEDGEHOG_SIGNALING
289.22
HEME_METABOLISM
431.90
HYPOXIA
1353.29
IL2_STAT5_SIGNALING
759.91
IL6_JAK_STAT3_SIGNALING
1276.08
INFLAMMATORY_RESPONSE
1602.76
INTERFERON_ALPHA_RESPONSE
305.36
INTERFERON_GAMMA_RESPONSE
1659.72
KRAS_SIGNALING_DN
412.48
KRAS_SIGNALING_UP
1046.42
MITOTIC_SPINDLE
1721.46
MTORC1_SIGNALING
1124.19
MYC_TARGETS_V1
1255.14
MYC_TARGETS_V2
243.81
MYOGENESIS
951.93
NOTCH_SIGNALING
192.31
OXIDATIVE_PHOSPHORYLATION
376.39
P53_PATHWAY
963.67
PANCREAS_BETA_CELLS
83.69
PEROXISOME
247.21
PI3K_AKT_MTOR_SIGNALING
2335.20
PROTEIN_SECRETION
782.94
REACTIVE_OXYGEN_SPECIES_PATHWAY
174.95
SPERMATOGENESIS
557.46
TGF_BETA_SIGNALING
573.39
TNFA_SIGNALING_VIA_NFKB
1438.95
UNFOLDED_PROTEIN_RESPONSE
389.51
UV_RESPONSE_DN
1149.86
UV_RESPONSE_UP
1065.53
WNT_BETA_CATENIN_SIGNALING
777.88
XENOBIOTIC_METABOLISM
654.40

See this drug on the perturbation map →

Hallmarks-of-Cancer reach

DerivedReference

Projection onto the 10 canonical Hanahan & Weinberg hallmarks. Breadth = how many hallmarks this drug meaningfully perturbs.

ProliferationEvading apoptosisAngiogenesisInvasion / metastasisReplicative immortalityDeregulated metabolismImmune evasionGenome instabilityInflammationGrowth signaling

Breadth = 3.13 bits (max possible across 10 hallmarks = 3.32 bits). Multi-hallmark agent — broad polypharmacology.

Compare against the full catalog →

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 = 0.869

SampleCancer typecos to ideal
EPT0291EPN0.869
SRR233037520.854
TCGA-CF-A5U8-01A-11R-A28M-070.850
aMVAC.P_005_TURBT_S2230.844
SRR122024980.842

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