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

Primary targets: TRKA · FDA status: FDA Approved

Selectivity scorecard

MeasuredDerived
KISS
93.69
Gini
0.671
CATDS
0.013

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 Entrectinib. Strongest target: HASPIN at 100.0% inhibition.

Accessible data table
RankTargetInhibition %Residual activity %
1HASPIN100.0%0.0%
2TRKB99.8%0.2%
3RET99.6%0.4%
4ROS_ROS199.3%0.7%
5TXK99.1%0.9%
6TRKA99.0%1.0%
7JAK299.0%1.0%
8TRKC98.8%1.2%
9ALK98.8%1.2%
10TYK297.9%2.1%
11IRR_INSRR97.5%2.5%
12ACK197.3%2.7%
13TYK1_LTK97.3%2.7%
14HPK1_MAP4K196.3%3.7%
15FLT396.1%3.9%
16DDR196.0%4.0%
17MUSK95.9%4.1%
18FGR95.4%4.6%
19BTK95.1%4.9%
20ARK5_NUAK193.5%6.5%

Selectivity landscape

MeasuredDerived

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

Atlas insights for Entrectinib

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
2728.55
ALLOGRAFT_REJECTION
10338.30
ANDROGEN_RESPONSE
1520.35
ANGIOGENESIS
1499.80
APICAL_JUNCTION
9114.00
APICAL_SURFACE
1048.14
APOPTOSIS
5910.18
BILE_ACID_METABOLISM
885.59
CHOLESTEROL_HOMEOSTASIS
1100.03
COAGULATION
1165.08
COMPLEMENT
5255.90
DNA_REPAIR
1532.42
E2F_TARGETS
3455.77
EPITHELIAL_MESENCHYMAL_TRANSITION
1651.19
ESTROGEN_RESPONSE_EARLY
2705.02
ESTROGEN_RESPONSE_LATE
2652.04
FATTY_ACID_METABOLISM
949.90
G2M_CHECKPOINT
4026.00
GLYCOLYSIS
2663.18
HEDGEHOG_SIGNALING
773.84
HEME_METABOLISM
1766.03
HYPOXIA
3485.82
IL2_STAT5_SIGNALING
3324.22
IL6_JAK_STAT3_SIGNALING
6902.58
INFLAMMATORY_RESPONSE
5227.25
INTERFERON_ALPHA_RESPONSE
916.09
INTERFERON_GAMMA_RESPONSE
7138.96
KRAS_SIGNALING_DN
907.69
KRAS_SIGNALING_UP
3380.41
MITOTIC_SPINDLE
5689.90
MTORC1_SIGNALING
3664.44
MYC_TARGETS_V1
2622.89
MYC_TARGETS_V2
832.59
MYOGENESIS
2731.68
NOTCH_SIGNALING
98.60
OXIDATIVE_PHOSPHORYLATION
1450.01
P53_PATHWAY
2999.58
PANCREAS_BETA_CELLS
165.93
PEROXISOME
1085.73
PI3K_AKT_MTOR_SIGNALING
9342.75
PROTEIN_SECRETION
1677.02
REACTIVE_OXYGEN_SPECIES_PATHWAY
473.34
SPERMATOGENESIS
1420.84
TGF_BETA_SIGNALING
1634.21
TNFA_SIGNALING_VIA_NFKB
4033.59
UNFOLDED_PROTEIN_RESPONSE
1393.21
UV_RESPONSE_DN
4527.23
UV_RESPONSE_UP
3405.42
WNT_BETA_CATENIN_SIGNALING
1425.61
XENOBIOTIC_METABOLISM
2171.96

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 = 3.04 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 = 0.818

SampleCancer typecos to ideal
EPT0291EPN0.818
SRR233037520.818
SRR108999840.817
TCGA-FD-A43X-01A-11R-A23W-070.807
TCGA-CF-A5U8-01A-11R-A28M-070.803

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