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

Primary targets: MEK1, MEK2 · FDA status: FDA Approved

Selectivity scorecard

MeasuredDerived
KISS
100.00
Gini
0.640
CATDS
0.032

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 Selumetinib. Strongest target: MEK1 at 54.4% inhibition.

Accessible data table
RankTargetInhibition %Residual activity %
1MEK154.4%45.6%
2MEK233.0%67.0%
3SYK29.1%70.9%
4MEKK326.3%73.7%
5CK1A125.8%74.2%
6AKT325.5%74.5%
7ERK124.5%75.5%
8STK3322.7%77.3%
9PRKX20.0%80.0%
10CDK17_CYCLIN_Y(PCTK2)18.6%81.4%
11ALK4_ACVR1B17.9%82.1%
12GLK_MAP4K317.2%82.8%
13TYRO3_SKY17.1%82.9%
14CDK1_CYCLIN_A16.0%84.0%
15MEKK615.9%84.1%
16NEK915.7%84.3%
17EPHA615.7%84.3%
18RAF115.3%84.7%
19AURORA_A15.3%84.7%
20RIPK414.2%85.8%

Selectivity landscape

MeasuredDerived

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

Atlas insights for Selumetinib

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
428.83
ALLOGRAFT_REJECTION
856.94
ANDROGEN_RESPONSE
313.16
ANGIOGENESIS
106.15
APICAL_JUNCTION
959.65
APICAL_SURFACE
118.35
APOPTOSIS
1027.53
BILE_ACID_METABOLISM
147.19
CHOLESTEROL_HOMEOSTASIS
114.72
COAGULATION
224.93
COMPLEMENT
657.33
DNA_REPAIR
258.11
E2F_TARGETS
946.78
EPITHELIAL_MESENCHYMAL_TRANSITION
363.31
ESTROGEN_RESPONSE_EARLY
552.03
ESTROGEN_RESPONSE_LATE
438.97
FATTY_ACID_METABOLISM
76.74
G2M_CHECKPOINT
822.96
GLYCOLYSIS
403.27
HEDGEHOG_SIGNALING
66.71
HEME_METABOLISM
480.52
HYPOXIA
613.88
IL2_STAT5_SIGNALING
416.73
IL6_JAK_STAT3_SIGNALING
608.59
INFLAMMATORY_RESPONSE
818.24
INTERFERON_ALPHA_RESPONSE
128.43
INTERFERON_GAMMA_RESPONSE
810.90
KRAS_SIGNALING_DN
182.79
KRAS_SIGNALING_UP
459.89
MITOTIC_SPINDLE
836.35
MTORC1_SIGNALING
607.91
MYC_TARGETS_V1
684.09
MYC_TARGETS_V2
226.01
MYOGENESIS
525.66
NOTCH_SIGNALING
94.70
OXIDATIVE_PHOSPHORYLATION
159.92
P53_PATHWAY
608.03
PANCREAS_BETA_CELLS
124.26
PEROXISOME
155.10
PI3K_AKT_MTOR_SIGNALING
1220.57
PROTEIN_SECRETION
183.54
REACTIVE_OXYGEN_SPECIES_PATHWAY
59.56
SPERMATOGENESIS
415.20
TGF_BETA_SIGNALING
342.89
TNFA_SIGNALING_VIA_NFKB
869.01
UNFOLDED_PROTEIN_RESPONSE
317.38
UV_RESPONSE_DN
631.97
UV_RESPONSE_UP
463.85
WNT_BETA_CATENIN_SIGNALING
317.57
XENOBIOTIC_METABOLISM
257.27

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 = 3.08 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 = 0.872

SampleCancer typecos to ideal
EPT0291EPN0.872
TCGA-CF-A5U8-01A-11R-A28M-070.857
SRR122024980.847
SRR1443713GTEX0.847
SRR233037520.844

Annotations

Sign in to read and post annotations.

Loading…