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, RET · FDA status: FDA Approved

Selectivity scorecard

MeasuredDerived
KISS
97.74
Gini
0.726
CATDS
0.020

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 Lenvatinib. Strongest target: RET at 98.8% inhibition.

Accessible data table
RankTargetInhibition %Residual activity %
1RET98.8%1.2%
2KDR_VEGFR298.1%1.9%
3FLT4_VEGFR397.4%2.6%
4TNIK97.2%2.8%
5FLT1_VEGFR194.8%5.2%
6DDR294.3%5.7%
7LCK93.4%6.6%
8DDR192.3%7.7%
9RIPK390.6%9.4%
10PDGFRA88.0%12.0%
11P38A_MAPK1487.1%12.9%
12C_KIT86.3%13.7%
13FGFR185.5%14.5%
14FGFR285.4%14.6%
15FMS84.9%15.1%
16FGFR379.9%20.1%
17FGFR479.3%20.7%
18MINK_MINK179.2%20.8%
19SLK_STK277.1%22.9%
20LYN76.6%23.4%

Selectivity landscape

MeasuredDerived

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

Atlas insights for Lenvatinib

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
1715.86
ALLOGRAFT_REJECTION
5640.83
ANDROGEN_RESPONSE
892.92
ANGIOGENESIS
1087.59
APICAL_JUNCTION
6205.35
APICAL_SURFACE
512.49
APOPTOSIS
4094.46
BILE_ACID_METABOLISM
491.25
CHOLESTEROL_HOMEOSTASIS
991.36
COAGULATION
634.27
COMPLEMENT
3180.23
DNA_REPAIR
1071.19
E2F_TARGETS
2165.37
EPITHELIAL_MESENCHYMAL_TRANSITION
1095.37
ESTROGEN_RESPONSE_EARLY
1700.62
ESTROGEN_RESPONSE_LATE
1653.26
FATTY_ACID_METABOLISM
730.70
G2M_CHECKPOINT
2325.56
GLYCOLYSIS
1857.58
HEDGEHOG_SIGNALING
412.89
HEME_METABOLISM
1143.22
HYPOXIA
2548.12
IL2_STAT5_SIGNALING
1799.88
IL6_JAK_STAT3_SIGNALING
3342.20
INFLAMMATORY_RESPONSE
2555.02
INTERFERON_ALPHA_RESPONSE
516.22
INTERFERON_GAMMA_RESPONSE
3984.78
KRAS_SIGNALING_DN
382.24
KRAS_SIGNALING_UP
2313.42
MITOTIC_SPINDLE
3976.93
MTORC1_SIGNALING
2184.63
MYC_TARGETS_V1
1990.77
MYC_TARGETS_V2
376.04
MYOGENESIS
1542.98
NOTCH_SIGNALING
177.74
OXIDATIVE_PHOSPHORYLATION
1250.71
P53_PATHWAY
2227.57
PANCREAS_BETA_CELLS
168.99
PEROXISOME
729.25
PI3K_AKT_MTOR_SIGNALING
6045.40
PROTEIN_SECRETION
1325.26
REACTIVE_OXYGEN_SPECIES_PATHWAY
329.55
SPERMATOGENESIS
625.67
TGF_BETA_SIGNALING
1208.19
TNFA_SIGNALING_VIA_NFKB
2281.59
UNFOLDED_PROTEIN_RESPONSE
695.40
UV_RESPONSE_DN
2823.42
UV_RESPONSE_UP
2032.68
WNT_BETA_CATENIN_SIGNALING
1085.78
XENOBIOTIC_METABOLISM
1173.12

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 = 0.825

SampleCancer typecos to ideal
SRR233037520.825
EPT0291EPN0.820
aMVAC.P_005_TURBT_S2230.810
SRR108999840.807
C3N-034200.800

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