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

Primary targets: FMS · FDA status: FDA Approved

Selectivity scorecard

MeasuredDerived
KISS
99.49
Gini
0.631
CATDS
0.029

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 Pexidartinib. Strongest target: FMS at 97.5% inhibition.

Accessible data table
RankTargetInhibition %Residual activity %
1FMS97.5%2.5%
2C_KIT95.2%4.8%
3AURORA_B80.3%19.7%
4FLT379.3%20.7%
5DDR263.2%36.8%
6RET62.9%37.1%
7PDGFRB62.4%37.6%
8DDR160.0%40.0%
9LCK51.9%48.1%
10TRKC46.5%53.5%
11AURORA_A43.9%56.1%
12LRRK240.4%59.6%
13FGFR239.9%60.1%
14TRKB36.7%63.3%
15RIPK435.5%64.5%
16MUSK35.1%64.9%
17LKB134.4%65.6%
18MLK2_MAP3K1034.3%65.7%
19MAK31.7%68.3%
20FGFR130.2%69.8%

Selectivity landscape

MeasuredDerived

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

Atlas insights for Pexidartinib

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
1078.02
ALLOGRAFT_REJECTION
2486.27
ANDROGEN_RESPONSE
617.63
ANGIOGENESIS
566.43
APICAL_JUNCTION
3241.38
APICAL_SURFACE
346.37
APOPTOSIS
2520.24
BILE_ACID_METABOLISM
403.50
CHOLESTEROL_HOMEOSTASIS
488.42
COAGULATION
378.01
COMPLEMENT
1655.49
DNA_REPAIR
571.02
E2F_TARGETS
1800.76
EPITHELIAL_MESENCHYMAL_TRANSITION
740.83
ESTROGEN_RESPONSE_EARLY
1214.54
ESTROGEN_RESPONSE_LATE
1269.39
FATTY_ACID_METABOLISM
371.06
G2M_CHECKPOINT
1859.90
GLYCOLYSIS
1079.90
HEDGEHOG_SIGNALING
351.25
HEME_METABOLISM
777.02
HYPOXIA
1539.77
IL2_STAT5_SIGNALING
988.17
IL6_JAK_STAT3_SIGNALING
1760.46
INFLAMMATORY_RESPONSE
1538.26
INTERFERON_ALPHA_RESPONSE
254.76
INTERFERON_GAMMA_RESPONSE
2056.33
KRAS_SIGNALING_DN
299.05
KRAS_SIGNALING_UP
1152.46
MITOTIC_SPINDLE
2279.43
MTORC1_SIGNALING
1445.03
MYC_TARGETS_V1
1239.14
MYC_TARGETS_V2
239.39
MYOGENESIS
1218.32
NOTCH_SIGNALING
123.00
OXIDATIVE_PHOSPHORYLATION
775.21
P53_PATHWAY
1256.42
PANCREAS_BETA_CELLS
163.22
PEROXISOME
533.35
PI3K_AKT_MTOR_SIGNALING
3307.01
PROTEIN_SECRETION
722.16
REACTIVE_OXYGEN_SPECIES_PATHWAY
141.57
SPERMATOGENESIS
567.81
TGF_BETA_SIGNALING
734.07
TNFA_SIGNALING_VIA_NFKB
1742.10
UNFOLDED_PROTEIN_RESPONSE
664.49
UV_RESPONSE_DN
1664.43
UV_RESPONSE_UP
1243.73
WNT_BETA_CATENIN_SIGNALING
756.10
XENOBIOTIC_METABOLISM
756.57

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 = 0.854

SampleCancer typecos to ideal
EPT0291EPN0.854
SRR233037520.848
aMVAC.P_005_TURBT_S2230.831
SRR122024980.829
TCGA-CF-A5U8-01A-11R-A28M-070.829

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