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

Primary targets: ALK · FDA status: FDA Approved

Selectivity scorecard

MeasuredDerived
KISS
82.96
Gini
0.513
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 Brigatinib. Strongest target: CAMK2D at 100.0% inhibition.

Accessible data table
RankTargetInhibition %Residual activity %
1CAMK2D100.0%0.0%
2ERBB2_HER2100.0%0.0%
3CAMK2A99.7%0.3%
4CHK299.4%0.6%
5CLK199.4%0.6%
6STK22D_TSSK199.3%0.7%
7ALK99.2%0.8%
8PYK299.1%0.9%
9RSK398.5%1.5%
10EGFR98.5%1.5%
11SIK298.4%1.6%
12FER98.2%1.8%
13ROS_ROS198.2%1.8%
14FLT398.1%1.9%
15AMPK(A1_B2_G2)98.0%2.0%
16ACK198.0%2.0%
17AMPK(A2_B1_G2)97.9%2.1%
18BRK97.8%2.2%
19MYO3B97.6%2.4%
20ERBB4_HER497.6%2.4%

Selectivity landscape

MeasuredDerived

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

Atlas insights for Brigatinib

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
3850.72
ALLOGRAFT_REJECTION
12789.57
ANDROGEN_RESPONSE
3296.24
ANGIOGENESIS
2270.28
APICAL_JUNCTION
13595.57
APICAL_SURFACE
1369.19
APOPTOSIS
10666.81
BILE_ACID_METABOLISM
1633.31
CHOLESTEROL_HOMEOSTASIS
2083.12
COAGULATION
1397.19
COMPLEMENT
7791.46
DNA_REPAIR
2794.43
E2F_TARGETS
7771.65
EPITHELIAL_MESENCHYMAL_TRANSITION
3787.64
ESTROGEN_RESPONSE_EARLY
5723.00
ESTROGEN_RESPONSE_LATE
5665.42
FATTY_ACID_METABOLISM
1224.13
G2M_CHECKPOINT
7361.32
GLYCOLYSIS
4768.62
HEDGEHOG_SIGNALING
1371.18
HEME_METABOLISM
2973.40
HYPOXIA
6050.17
IL2_STAT5_SIGNALING
4090.98
IL6_JAK_STAT3_SIGNALING
8155.46
INFLAMMATORY_RESPONSE
7153.79
INTERFERON_ALPHA_RESPONSE
1068.07
INTERFERON_GAMMA_RESPONSE
9220.21
KRAS_SIGNALING_DN
2279.05
KRAS_SIGNALING_UP
4676.49
MITOTIC_SPINDLE
10098.17
MTORC1_SIGNALING
6031.05
MYC_TARGETS_V1
4404.52
MYC_TARGETS_V2
1089.90
MYOGENESIS
5653.28
NOTCH_SIGNALING
364.07
OXIDATIVE_PHOSPHORYLATION
1973.70
P53_PATHWAY
5060.75
PANCREAS_BETA_CELLS
358.50
PEROXISOME
1884.23
PI3K_AKT_MTOR_SIGNALING
13726.04
PROTEIN_SECRETION
3465.93
REACTIVE_OXYGEN_SPECIES_PATHWAY
682.59
SPERMATOGENESIS
2281.62
TGF_BETA_SIGNALING
2938.49
TNFA_SIGNALING_VIA_NFKB
6421.46
UNFOLDED_PROTEIN_RESPONSE
2463.89
UV_RESPONSE_DN
7039.23
UV_RESPONSE_UP
6051.11
WNT_BETA_CATENIN_SIGNALING
3601.68
XENOBIOTIC_METABOLISM
3320.91

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 = 3.12 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 = 0.848

SampleCancer typecos to ideal
EPT0291EPN0.848
SRR233037520.837
TCGA-CF-A5U8-01A-11R-A28M-070.831
SRR108999840.825
aMVAC.P_005_TURBT_S2230.823

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