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

Primary targets: FLT3 · FDA status: FDA Approved

Selectivity scorecard

MeasuredDerived
KISS
78.64
Gini
0.500
CATDS
0.006

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 Midostaurin. Strongest target: JAK3 at 100.0% inhibition.

Accessible data table
RankTargetInhibition %Residual activity %
1JAK3100.0%0.0%
2MST2_STK3100.0%0.0%
3PHKG1100.0%0.0%
4GLK_MAP4K399.4%0.6%
5MLK3_MAP3K1199.2%0.8%
6CAMK2D98.9%1.1%
7JAK298.9%1.1%
8SIK298.8%1.2%
9FLT398.6%1.4%
10RSK398.5%1.5%
11PKN1_PRK198.5%1.5%
12AURORA_A98.4%1.6%
13ARK5_NUAK198.3%1.7%
14MLK1_MAP3K998.0%2.0%
15YSK4_MAP3K1997.9%2.1%
16MARK497.9%2.1%
17MST1_STK497.4%2.6%
18MARK397.4%2.6%
19AMPK(A1_B2_G2)97.3%2.7%
20FMS97.3%2.7%

Selectivity landscape

MeasuredDerived

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

Atlas insights for Midostaurin

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-target1%
Off-target99%
Ghost (2nd-order)0%
PathwayCompositionTotal |Π|
ADIPOGENESIS
4956.64
ALLOGRAFT_REJECTION
12711.34
ANDROGEN_RESPONSE
3950.86
ANGIOGENESIS
2060.73
APICAL_JUNCTION
13449.69
APICAL_SURFACE
1320.44
APOPTOSIS
13455.05
BILE_ACID_METABOLISM
1544.93
CHOLESTEROL_HOMEOSTASIS
1717.98
COAGULATION
1810.76
COMPLEMENT
7777.57
DNA_REPAIR
3180.90
E2F_TARGETS
10417.85
EPITHELIAL_MESENCHYMAL_TRANSITION
4119.32
ESTROGEN_RESPONSE_EARLY
6522.98
ESTROGEN_RESPONSE_LATE
6203.59
FATTY_ACID_METABOLISM
1149.03
G2M_CHECKPOINT
10869.57
GLYCOLYSIS
5387.21
HEDGEHOG_SIGNALING
1557.87
HEME_METABOLISM
4625.99
HYPOXIA
7574.52
IL2_STAT5_SIGNALING
5104.46
IL6_JAK_STAT3_SIGNALING
8953.80
INFLAMMATORY_RESPONSE
8985.22
INTERFERON_ALPHA_RESPONSE
1649.98
INTERFERON_GAMMA_RESPONSE
10661.41
KRAS_SIGNALING_DN
2097.62
KRAS_SIGNALING_UP
5794.25
MITOTIC_SPINDLE
10731.95
MTORC1_SIGNALING
7232.25
MYC_TARGETS_V1
6538.93
MYC_TARGETS_V2
1748.93
MYOGENESIS
6547.95
NOTCH_SIGNALING
757.26
OXIDATIVE_PHOSPHORYLATION
2025.52
P53_PATHWAY
6630.83
PANCREAS_BETA_CELLS
996.68
PEROXISOME
2226.34
PI3K_AKT_MTOR_SIGNALING
15616.61
PROTEIN_SECRETION
3328.74
REACTIVE_OXYGEN_SPECIES_PATHWAY
885.16
SPERMATOGENESIS
3669.04
TGF_BETA_SIGNALING
3966.82
TNFA_SIGNALING_VIA_NFKB
9742.73
UNFOLDED_PROTEIN_RESPONSE
2996.55
UV_RESPONSE_DN
8373.25
UV_RESPONSE_UP
6608.25
WNT_BETA_CATENIN_SIGNALING
3767.32
XENOBIOTIC_METABOLISM
3096.17

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 = 3.10 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 = 0.867

SampleCancer typecos to ideal
EPT0291EPN0.867
TCGA-CF-A5U8-01A-11R-A28M-070.853
SRR233037520.846
SRR122024980.840
TCGA-FD-A43X-01A-11R-A23W-070.835

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