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

Primary targets: ALK, RET · FDA status: FDA Approved

Selectivity scorecard

MeasuredDerived
KISS
95.49
Gini
0.651
CATDS
0.011

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 Alectinib. Strongest target: SRPK1 at 99.6% inhibition.

Accessible data table
RankTargetInhibition %Residual activity %
1SRPK199.6%0.4%
2CAMK2D99.5%0.5%
3MSSK1_STK2398.9%1.1%
4CHK298.8%1.2%
5ALK98.6%1.4%
6TYK1_LTK98.2%1.8%
7RET97.8%2.2%
8CAMK2A97.7%2.3%
9PIM395.1%4.9%
10PHKG194.5%5.5%
11LRRK294.5%5.5%
12SRPK294.4%5.6%
13FGR94.2%5.8%
14TRKC94.2%5.8%
15CAMKK293.3%6.7%
16FLT4_VEGFR392.8%7.2%
17LYN92.4%7.6%
18IR91.1%8.9%
19DAPK189.5%10.5%
20PHKG289.3%10.7%

Selectivity landscape

MeasuredDerived

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

Atlas insights for Alectinib

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
2471.64
ALLOGRAFT_REJECTION
8711.78
ANDROGEN_RESPONSE
2611.51
ANGIOGENESIS
1647.65
APICAL_JUNCTION
9137.51
APICAL_SURFACE
833.44
APOPTOSIS
7116.93
BILE_ACID_METABOLISM
1094.68
CHOLESTEROL_HOMEOSTASIS
1367.25
COAGULATION
981.87
COMPLEMENT
5211.83
DNA_REPAIR
1680.04
E2F_TARGETS
5306.75
EPITHELIAL_MESENCHYMAL_TRANSITION
2483.22
ESTROGEN_RESPONSE_EARLY
3901.29
ESTROGEN_RESPONSE_LATE
3454.97
FATTY_ACID_METABOLISM
651.44
G2M_CHECKPOINT
5081.04
GLYCOLYSIS
3456.78
HEDGEHOG_SIGNALING
1026.36
HEME_METABOLISM
1741.94
HYPOXIA
4753.76
IL2_STAT5_SIGNALING
2634.85
IL6_JAK_STAT3_SIGNALING
4659.66
INFLAMMATORY_RESPONSE
4817.70
INTERFERON_ALPHA_RESPONSE
746.75
INTERFERON_GAMMA_RESPONSE
6130.38
KRAS_SIGNALING_DN
1532.62
KRAS_SIGNALING_UP
3497.05
MITOTIC_SPINDLE
5755.94
MTORC1_SIGNALING
4351.23
MYC_TARGETS_V1
3335.15
MYC_TARGETS_V2
973.52
MYOGENESIS
3473.07
NOTCH_SIGNALING
317.64
OXIDATIVE_PHOSPHORYLATION
1108.64
P53_PATHWAY
3682.54
PANCREAS_BETA_CELLS
206.95
PEROXISOME
1258.58
PI3K_AKT_MTOR_SIGNALING
8899.87
PROTEIN_SECRETION
2441.85
REACTIVE_OXYGEN_SPECIES_PATHWAY
444.04
SPERMATOGENESIS
1362.27
TGF_BETA_SIGNALING
1855.98
TNFA_SIGNALING_VIA_NFKB
4405.47
UNFOLDED_PROTEIN_RESPONSE
1560.29
UV_RESPONSE_DN
4911.74
UV_RESPONSE_UP
4169.94
WNT_BETA_CATENIN_SIGNALING
2368.70
XENOBIOTIC_METABOLISM
2160.19

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 = 0.855

SampleCancer typecos to ideal
EPT0291EPN0.855
SRR233037520.841
TCGA-CF-A5U8-01A-11R-A28M-070.836
aMVAC.P_005_TURBT_S2230.831
SRR122024980.825

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