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

Primary targets: CDK4_CYCLIN_D1, CDK4_CYCLIN_D3, CDK4_CYCLIN_D2, CDK6_CYCLIN_D1, CDK6_CYCLIN_D3, CDK6_CYCLIN_D2 · FDA status: FDA Approved

Selectivity scorecard

MeasuredDerived
KISS
91.48
Gini
0.563
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 Abemaciclib. Strongest target: CDK4_CYCLIN_D3 at 100.0% inhibition.

Accessible data table
RankTargetInhibition %Residual activity %
1CDK4_CYCLIN_D3100.0%0.0%
2DYRK3100.0%0.0%
3PIM3100.0%0.0%
4CAMK2A99.7%0.3%
5CLK199.5%0.5%
6CDK6_CYCLIN_D199.3%0.7%
7CDK4_CYCLIN_D199.2%0.8%
8CDK9_CYCLIN_T299.0%1.0%
9DYRK1B98.9%1.1%
10PIM198.8%1.2%
11CDK6_CYCLIN_D398.7%1.3%
12CAMK2B98.6%1.4%
13CAMK2D98.6%1.4%
14IRAK198.3%1.7%
15HIPK298.2%1.8%
16DYRK1_DYRK1A97.7%2.3%
17CDK9_CYCLIN_T197.2%2.8%
18GSK3A97.2%2.8%
19DYRK297.1%2.9%
20ERK7_MAPK1596.7%3.3%

Selectivity landscape

MeasuredDerived

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

Atlas insights for Abemaciclib

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
2996.30
ALLOGRAFT_REJECTION
5308.40
ANDROGEN_RESPONSE
3517.65
ANGIOGENESIS
834.41
APICAL_JUNCTION
5678.29
APICAL_SURFACE
619.70
APOPTOSIS
9421.70
BILE_ACID_METABOLISM
901.38
CHOLESTEROL_HOMEOSTASIS
1090.38
COAGULATION
461.92
COMPLEMENT
3327.01
DNA_REPAIR
2643.26
E2F_TARGETS
9299.90
EPITHELIAL_MESENCHYMAL_TRANSITION
3511.26
ESTROGEN_RESPONSE_EARLY
5445.04
ESTROGEN_RESPONSE_LATE
4988.79
FATTY_ACID_METABOLISM
521.39
G2M_CHECKPOINT
9302.43
GLYCOLYSIS
3641.27
HEDGEHOG_SIGNALING
1305.14
HEME_METABOLISM
3103.30
HYPOXIA
6746.07
IL2_STAT5_SIGNALING
3618.80
IL6_JAK_STAT3_SIGNALING
3711.87
INFLAMMATORY_RESPONSE
4531.74
INTERFERON_ALPHA_RESPONSE
760.06
INTERFERON_GAMMA_RESPONSE
5456.50
KRAS_SIGNALING_DN
1929.39
KRAS_SIGNALING_UP
2668.93
MITOTIC_SPINDLE
6687.18
MTORC1_SIGNALING
5260.03
MYC_TARGETS_V1
5187.78
MYC_TARGETS_V2
1720.48
MYOGENESIS
5255.22
NOTCH_SIGNALING
759.58
OXIDATIVE_PHOSPHORYLATION
914.79
P53_PATHWAY
6135.08
PANCREAS_BETA_CELLS
1156.92
PEROXISOME
1699.13
PI3K_AKT_MTOR_SIGNALING
9060.42
PROTEIN_SECRETION
2251.60
REACTIVE_OXYGEN_SPECIES_PATHWAY
507.64
SPERMATOGENESIS
2407.39
TGF_BETA_SIGNALING
2983.43
TNFA_SIGNALING_VIA_NFKB
7199.51
UNFOLDED_PROTEIN_RESPONSE
2313.91
UV_RESPONSE_DN
5911.73
UV_RESPONSE_UP
4470.99
WNT_BETA_CATENIN_SIGNALING
3703.37
XENOBIOTIC_METABOLISM
1837.83

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 = 0.873

SampleCancer typecos to ideal
EPT0291EPN0.873
TCGA-CF-A5U8-01A-11R-A28M-070.854
SRR122024980.835
R2470.833
b6a7e87e-2674-4a48-a3c2-c8a9806762b50.832

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