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
97.24
Gini
0.733
CATDS
0.019

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 Osimertinib. Strongest target: ERBB4_HER4 at 100.0% inhibition.

Accessible data table
RankTargetInhibition %Residual activity %
1ERBB4_HER4100.0%0.0%
2ERBB2_HER299.4%0.6%
3EGFR99.1%0.9%
4TXK97.6%2.4%
5JAK397.5%2.5%
6ROS_ROS197.2%2.8%
7BTK96.3%3.7%
8TNK192.8%7.2%
9ACK192.6%7.4%
10MYO3B90.9%9.1%
11BLK90.0%9.9%
12MNK186.2%13.8%
13BRK85.8%14.2%
14ITK85.4%14.6%
15LRRK282.4%17.6%
16TNIK81.3%18.7%
17ALK80.5%19.5%
18YSK4_MAP3K1979.7%20.3%
19BMX_ETK79.5%20.5%
20TEC74.6%25.4%

Selectivity landscape

MeasuredDerived

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

Atlas insights for Osimertinib

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-target26%
Off-target74%
Ghost (2nd-order)0%
PathwayCompositionTotal |Π|
ADIPOGENESIS
1325.48
ALLOGRAFT_REJECTION
4420.34
ANDROGEN_RESPONSE
1280.93
ANGIOGENESIS
839.96
APICAL_JUNCTION
4356.80
APICAL_SURFACE
437.36
APOPTOSIS
3203.97
BILE_ACID_METABOLISM
674.76
CHOLESTEROL_HOMEOSTASIS
916.51
COAGULATION
357.54
COMPLEMENT
2841.60
DNA_REPAIR
1268.90
E2F_TARGETS
2530.27
EPITHELIAL_MESENCHYMAL_TRANSITION
1070.12
ESTROGEN_RESPONSE_EARLY
1528.46
ESTROGEN_RESPONSE_LATE
1602.07
FATTY_ACID_METABOLISM
430.46
G2M_CHECKPOINT
1873.51
GLYCOLYSIS
1377.07
HEDGEHOG_SIGNALING
625.96
HEME_METABOLISM
748.16
HYPOXIA
2145.49
IL2_STAT5_SIGNALING
1465.40
IL6_JAK_STAT3_SIGNALING
2270.84
INFLAMMATORY_RESPONSE
2784.03
INTERFERON_ALPHA_RESPONSE
402.60
INTERFERON_GAMMA_RESPONSE
3402.38
KRAS_SIGNALING_DN
558.21
KRAS_SIGNALING_UP
1571.62
MITOTIC_SPINDLE
3027.92
MTORC1_SIGNALING
1999.07
MYC_TARGETS_V1
1496.03
MYC_TARGETS_V2
349.66
MYOGENESIS
1594.99
NOTCH_SIGNALING
303.17
OXIDATIVE_PHOSPHORYLATION
737.70
P53_PATHWAY
1921.25
PANCREAS_BETA_CELLS
147.08
PEROXISOME
513.21
PI3K_AKT_MTOR_SIGNALING
4279.46
PROTEIN_SECRETION
1135.28
REACTIVE_OXYGEN_SPECIES_PATHWAY
161.40
SPERMATOGENESIS
875.16
TGF_BETA_SIGNALING
1051.03
TNFA_SIGNALING_VIA_NFKB
2444.83
UNFOLDED_PROTEIN_RESPONSE
815.48
UV_RESPONSE_DN
1789.77
UV_RESPONSE_UP
1671.31
WNT_BETA_CATENIN_SIGNALING
1278.86
XENOBIOTIC_METABOLISM
1186.86

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 = 0.857

SampleCancer typecos to ideal
EPT0291EPN0.857
SRR233037520.845
SRR108999840.837
TCGA-CF-A5U8-01A-11R-A28M-070.836
aMVAC.P_005_TURBT_S2230.836

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