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Primary targets: EGFR · FDA status: FDA Approval Withdrawn

Selectivity scorecard

MeasuredDerived
KISS
97.22
Gini
0.757
CATDS
0.035

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 Mobocertinib. Strongest target: EGFR at 100.0% inhibition.

Accessible data table
RankTargetInhibition %Residual activity %
1EGFR100.0%0.0%
2ERBB2_HER299.8%0.2%
3BLK99.7%0.3%
4ERBB4_HER499.6%0.4%
5BMX_ETK98.1%1.9%
6BTK97.4%2.6%
7ACK197.4%2.6%
8JAK397.2%2.8%
9TXK97.1%2.9%
10ITK94.4%5.6%
11TEC91.6%8.4%
12FRK_PTK583.3%16.7%
13BRK61.5%38.5%
14LYN46.6%53.4%
15RET37.2%62.8%
16LRRK235.1%64.9%
17ABL133.0%67.0%
18HIPK431.6%68.4%
19YES_YES128.7%71.3%
20SRMS28.3%71.7%

Selectivity landscape

MeasuredDerived

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

Atlas insights for Mobocertinib

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-target27%
Off-target73%
Ghost (2nd-order)0%
PathwayCompositionTotal |Π|
ADIPOGENESIS
1307.60
ALLOGRAFT_REJECTION
4801.17
ANDROGEN_RESPONSE
1184.87
ANGIOGENESIS
788.53
APICAL_JUNCTION
4324.56
APICAL_SURFACE
519.76
APOPTOSIS
3380.04
BILE_ACID_METABOLISM
537.19
CHOLESTEROL_HOMEOSTASIS
899.72
COAGULATION
349.29
COMPLEMENT
2904.83
DNA_REPAIR
1093.60
E2F_TARGETS
2242.99
EPITHELIAL_MESENCHYMAL_TRANSITION
931.61
ESTROGEN_RESPONSE_EARLY
1461.30
ESTROGEN_RESPONSE_LATE
1302.03
FATTY_ACID_METABOLISM
230.29
G2M_CHECKPOINT
1934.90
GLYCOLYSIS
994.86
HEDGEHOG_SIGNALING
412.09
HEME_METABOLISM
910.36
HYPOXIA
1822.93
IL2_STAT5_SIGNALING
1744.27
IL6_JAK_STAT3_SIGNALING
2199.32
INFLAMMATORY_RESPONSE
2886.97
INTERFERON_ALPHA_RESPONSE
468.17
INTERFERON_GAMMA_RESPONSE
3318.64
KRAS_SIGNALING_DN
525.97
KRAS_SIGNALING_UP
1737.72
MITOTIC_SPINDLE
3141.76
MTORC1_SIGNALING
1682.23
MYC_TARGETS_V1
1475.70
MYC_TARGETS_V2
297.55
MYOGENESIS
1627.78
NOTCH_SIGNALING
161.48
OXIDATIVE_PHOSPHORYLATION
465.52
P53_PATHWAY
1867.57
PANCREAS_BETA_CELLS
136.82
PEROXISOME
452.31
PI3K_AKT_MTOR_SIGNALING
4042.29
PROTEIN_SECRETION
1093.37
REACTIVE_OXYGEN_SPECIES_PATHWAY
258.55
SPERMATOGENESIS
729.84
TGF_BETA_SIGNALING
958.01
TNFA_SIGNALING_VIA_NFKB
2383.91
UNFOLDED_PROTEIN_RESPONSE
629.72
UV_RESPONSE_DN
1888.14
UV_RESPONSE_UP
1731.44
WNT_BETA_CATENIN_SIGNALING
1023.38
XENOBIOTIC_METABOLISM
1090.94

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 = 0.840

SampleCancer typecos to ideal
EPT0291EPN0.840
SRR233037520.834
SRR108999840.831
TCGA-CF-A5U8-01A-11R-A28M-070.828
SRR122024980.825

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