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

Primary targets: FLT1_VEGFR1, FLT4_VEGFR3, KDR_VEGFR2 · FDA status: FDA Approved

Selectivity scorecard

MeasuredDerived
KISS
95.99
Gini
0.719
CATDS
0.019

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 Regorafenib. Strongest target: RAF1 at 99.9% inhibition.

Accessible data table
RankTargetInhibition %Residual activity %
1RAF199.9%0.1%
2ARAF98.8%1.2%
3RET98.7%1.3%
4BRAF98.3%1.7%
5HIPK498.0%2.0%
6DDR297.6%2.4%
7FMS97.4%2.6%
8PDGFRA96.7%3.3%
9PDGFRB95.4%4.6%
10YSK4_MAP3K1995.4%4.6%
11DDR192.7%7.3%
12FLT4_VEGFR392.2%7.8%
13RIPK391.9%8.1%
14FLT1_VEGFR191.8%8.2%
15KDR_VEGFR291.7%8.3%
16ZAK_MLTK90.7%9.3%
17ERK7_MAPK1589.7%10.3%
18FGFR277.9%22.1%
19MUSK76.8%23.1%
20EPHA675.5%24.5%

Selectivity landscape

MeasuredDerived

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

Atlas insights for Regorafenib

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
1741.58
ALLOGRAFT_REJECTION
4249.73
ANDROGEN_RESPONSE
910.69
ANGIOGENESIS
856.72
APICAL_JUNCTION
5645.74
APICAL_SURFACE
430.59
APOPTOSIS
3932.90
BILE_ACID_METABOLISM
570.99
CHOLESTEROL_HOMEOSTASIS
867.60
COAGULATION
565.87
COMPLEMENT
2902.84
DNA_REPAIR
1173.10
E2F_TARGETS
2921.10
EPITHELIAL_MESENCHYMAL_TRANSITION
1152.33
ESTROGEN_RESPONSE_EARLY
1948.50
ESTROGEN_RESPONSE_LATE
1780.08
FATTY_ACID_METABOLISM
662.29
G2M_CHECKPOINT
2987.32
GLYCOLYSIS
1762.36
HEDGEHOG_SIGNALING
684.08
HEME_METABOLISM
1204.92
HYPOXIA
2354.61
IL2_STAT5_SIGNALING
1677.32
IL6_JAK_STAT3_SIGNALING
2806.09
INFLAMMATORY_RESPONSE
2497.29
INTERFERON_ALPHA_RESPONSE
469.14
INTERFERON_GAMMA_RESPONSE
3069.14
KRAS_SIGNALING_DN
577.49
KRAS_SIGNALING_UP
1998.53
MITOTIC_SPINDLE
3802.07
MTORC1_SIGNALING
2037.22
MYC_TARGETS_V1
2306.51
MYC_TARGETS_V2
469.30
MYOGENESIS
1642.72
NOTCH_SIGNALING
173.55
OXIDATIVE_PHOSPHORYLATION
1144.29
P53_PATHWAY
2031.38
PANCREAS_BETA_CELLS
211.15
PEROXISOME
720.89
PI3K_AKT_MTOR_SIGNALING
5748.87
PROTEIN_SECRETION
1113.23
REACTIVE_OXYGEN_SPECIES_PATHWAY
307.28
SPERMATOGENESIS
959.09
TGF_BETA_SIGNALING
1200.37
TNFA_SIGNALING_VIA_NFKB
2542.31
UNFOLDED_PROTEIN_RESPONSE
827.68
UV_RESPONSE_DN
2995.06
UV_RESPONSE_UP
1909.21
WNT_BETA_CATENIN_SIGNALING
1306.14
XENOBIOTIC_METABOLISM
1036.20

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 = 3.13 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 = 0.840

SampleCancer typecos to ideal
EPT0291EPN0.840
SRR233037520.835
aMVAC.P_005_TURBT_S2230.821
TCGA-CF-A5U8-01A-11R-A28M-070.819
SRR122024980.814

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