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
99.25
Gini
0.729
CATDS
0.039

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 Ribociclib. Strongest target: CDK4_CYCLIN_D3 at 98.6% inhibition.

Accessible data table
RankTargetInhibition %Residual activity %
1CDK4_CYCLIN_D398.6%1.4%
2CDK6_CYCLIN_D195.3%4.7%
3CDK4_CYCLIN_D194.7%5.3%
4CDK6_CYCLIN_D373.3%26.7%
5CAMK2B59.0%41.0%
6CDK8_CYCLIN_C55.6%44.4%
7CAMK2D54.3%45.7%
8LIMK151.0%49.0%
9SIK248.8%51.2%
10CDK9_CYCLIN_T246.5%53.5%
11CDK19_CYCLIN_C46.5%53.5%
12AURORA_C43.1%56.9%
13CDK9_CYCLIN_T141.6%58.4%
14CAMKK239.5%60.5%
15DAPK231.6%68.4%
16ERK7_MAPK1531.2%68.8%
17TNK130.8%69.2%
18PDK2_PDHK228.4%71.6%
19LYN24.5%75.5%
20HASPIN24.3%75.7%

Selectivity landscape

MeasuredDerived

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

Atlas insights for Ribociclib

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
569.22
ALLOGRAFT_REJECTION
1591.26
ANDROGEN_RESPONSE
691.63
ANGIOGENESIS
203.87
APICAL_JUNCTION
1599.64
APICAL_SURFACE
132.10
APOPTOSIS
1674.15
BILE_ACID_METABOLISM
177.37
CHOLESTEROL_HOMEOSTASIS
268.01
COAGULATION
133.57
COMPLEMENT
1011.71
DNA_REPAIR
345.02
E2F_TARGETS
1258.08
EPITHELIAL_MESENCHYMAL_TRANSITION
716.62
ESTROGEN_RESPONSE_EARLY
781.11
ESTROGEN_RESPONSE_LATE
623.74
FATTY_ACID_METABOLISM
192.47
G2M_CHECKPOINT
1028.16
GLYCOLYSIS
536.63
HEDGEHOG_SIGNALING
198.56
HEME_METABOLISM
333.35
HYPOXIA
819.96
IL2_STAT5_SIGNALING
454.13
IL6_JAK_STAT3_SIGNALING
794.21
INFLAMMATORY_RESPONSE
917.81
INTERFERON_ALPHA_RESPONSE
185.04
INTERFERON_GAMMA_RESPONSE
1104.64
KRAS_SIGNALING_DN
246.78
KRAS_SIGNALING_UP
589.78
MITOTIC_SPINDLE
1296.41
MTORC1_SIGNALING
859.53
MYC_TARGETS_V1
772.56
MYC_TARGETS_V2
203.95
MYOGENESIS
656.96
NOTCH_SIGNALING
89.74
OXIDATIVE_PHOSPHORYLATION
249.52
P53_PATHWAY
682.46
PANCREAS_BETA_CELLS
62.92
PEROXISOME
175.19
PI3K_AKT_MTOR_SIGNALING
1833.18
PROTEIN_SECRETION
455.42
REACTIVE_OXYGEN_SPECIES_PATHWAY
40.77
SPERMATOGENESIS
425.73
TGF_BETA_SIGNALING
377.68
TNFA_SIGNALING_VIA_NFKB
928.21
UNFOLDED_PROTEIN_RESPONSE
349.23
UV_RESPONSE_DN
827.29
UV_RESPONSE_UP
778.52
WNT_BETA_CATENIN_SIGNALING
534.43
XENOBIOTIC_METABOLISM
418.43

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 = 0.862

SampleCancer typecos to ideal
EPT0291EPN0.862
TCGA-CF-A5U8-01A-11R-A28M-070.848
SRR233037520.844
TCGA-FD-A43X-01A-11R-A23W-070.834
SRR122024980.832

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