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

Primary targets: BCR_ABL, ABL1, ABL2_ARG · FDA status: FDA Approved

Selectivity scorecard

MeasuredDerived
KISS
87.22
Gini
0.555
CATDS
0.008

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 Bosutinib. Strongest target: ACK1 at 100.0% inhibition.

Accessible data table
RankTargetInhibition %Residual activity %
1ACK1100.0%0.0%
2BLK100.0%0.0%
3C_SRC100.0%0.0%
4FRK_PTK5100.0%0.0%
5KHS_MAP4K5100.0%0.0%
6MINK_MINK1100.0%0.0%
7HGK_MAP4K4100.0%0.0%
8ERBB4_HER499.9%0.1%
9EPHB299.8%0.2%
10ABL199.7%0.3%
11FYN99.7%0.3%
12EPHA299.7%0.3%
13LCK99.7%0.3%
14TNIK99.6%0.4%
15SIK299.6%0.4%
16EPHA499.6%0.4%
17HCK99.6%0.4%
18EPHB199.5%0.5%
19CSK99.5%0.5%
20BTK99.3%0.7%

Selectivity landscape

MeasuredDerived

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

Atlas insights for Bosutinib

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
3453.13
ALLOGRAFT_REJECTION
12522.25
ANDROGEN_RESPONSE
2548.86
ANGIOGENESIS
2304.01
APICAL_JUNCTION
12867.78
APICAL_SURFACE
1446.92
APOPTOSIS
9776.93
BILE_ACID_METABOLISM
1742.27
CHOLESTEROL_HOMEOSTASIS
2020.76
COAGULATION
1523.06
COMPLEMENT
7909.11
DNA_REPAIR
2546.92
E2F_TARGETS
5977.79
EPITHELIAL_MESENCHYMAL_TRANSITION
2937.45
ESTROGEN_RESPONSE_EARLY
4592.83
ESTROGEN_RESPONSE_LATE
4085.07
FATTY_ACID_METABOLISM
1070.29
G2M_CHECKPOINT
5944.10
GLYCOLYSIS
3765.12
HEDGEHOG_SIGNALING
1473.42
HEME_METABOLISM
2704.93
HYPOXIA
5678.02
IL2_STAT5_SIGNALING
4070.15
IL6_JAK_STAT3_SIGNALING
6707.32
INFLAMMATORY_RESPONSE
6815.00
INTERFERON_ALPHA_RESPONSE
1142.03
INTERFERON_GAMMA_RESPONSE
8066.26
KRAS_SIGNALING_DN
1576.22
KRAS_SIGNALING_UP
4709.74
MITOTIC_SPINDLE
9147.75
MTORC1_SIGNALING
5077.16
MYC_TARGETS_V1
4068.43
MYC_TARGETS_V2
849.97
MYOGENESIS
4500.58
NOTCH_SIGNALING
456.99
OXIDATIVE_PHOSPHORYLATION
1718.34
P53_PATHWAY
4927.16
PANCREAS_BETA_CELLS
246.58
PEROXISOME
1552.83
PI3K_AKT_MTOR_SIGNALING
11998.25
PROTEIN_SECRETION
2787.08
REACTIVE_OXYGEN_SPECIES_PATHWAY
714.45
SPERMATOGENESIS
1989.16
TGF_BETA_SIGNALING
2621.86
TNFA_SIGNALING_VIA_NFKB
5952.47
UNFOLDED_PROTEIN_RESPONSE
1792.36
UV_RESPONSE_DN
6593.02
UV_RESPONSE_UP
5517.53
WNT_BETA_CATENIN_SIGNALING
2969.63
XENOBIOTIC_METABOLISM
2718.12

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 = 0.838

SampleCancer typecos to ideal
EPT0291EPN0.838
SRR233037520.836
SRR108999840.823
TCGA-CF-A5U8-01A-11R-A28M-070.822
aMVAC.P_005_TURBT_S2230.820

Annotations

Sign in to read and post annotations.

Loading…