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

Primary targets: FKBP12, MTOR_FRAP1 · FDA status: FDA Approved

Selectivity scorecard

MeasuredDerived
KISS
100.00
Gini
0.708
CATDS
0.023

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 Sirolimus. Strongest target: ERN1_IRE1 at 31.9% inhibition.

Accessible data table
RankTargetInhibition %Residual activity %
1ERN1_IRE131.9%68.1%
2CAMKK230.4%69.6%
3PKMYT129.5%70.5%
4PDK2_PDHK226.8%73.2%
5WNK124.1%75.9%
6STK21_CIT23.1%76.9%
7MUSK22.9%77.1%
8GSK3A22.3%77.7%
9STK3320.6%79.4%
10PHKG119.8%80.2%
11EGFR18.0%82.0%
12CTK_MATK17.9%82.1%
13MLK3_MAP3K1117.8%82.2%
14TTBK216.0%84.0%
15SLK_STK215.6%84.4%
16STK39_STLK314.9%85.1%
17SSTK_TSSK614.7%85.3%
18TTBK114.2%85.8%
19BMPR213.8%86.2%
20KSR213.2%86.8%

Selectivity landscape

MeasuredDerived

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

Atlas insights for Sirolimus

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
326.79
ALLOGRAFT_REJECTION
739.91
ANDROGEN_RESPONSE
438.46
ANGIOGENESIS
128.57
APICAL_JUNCTION
852.47
APICAL_SURFACE
100.88
APOPTOSIS
1143.30
BILE_ACID_METABOLISM
161.84
CHOLESTEROL_HOMEOSTASIS
238.90
COAGULATION
113.64
COMPLEMENT
535.79
DNA_REPAIR
359.09
E2F_TARGETS
908.76
EPITHELIAL_MESENCHYMAL_TRANSITION
293.95
ESTROGEN_RESPONSE_EARLY
504.57
ESTROGEN_RESPONSE_LATE
451.86
FATTY_ACID_METABOLISM
89.00
G2M_CHECKPOINT
819.45
GLYCOLYSIS
398.62
HEDGEHOG_SIGNALING
144.47
HEME_METABOLISM
294.95
HYPOXIA
734.71
IL2_STAT5_SIGNALING
437.26
IL6_JAK_STAT3_SIGNALING
554.24
INFLAMMATORY_RESPONSE
549.56
INTERFERON_ALPHA_RESPONSE
108.00
INTERFERON_GAMMA_RESPONSE
664.33
KRAS_SIGNALING_DN
178.63
KRAS_SIGNALING_UP
368.24
MITOTIC_SPINDLE
858.35
MTORC1_SIGNALING
552.40
MYC_TARGETS_V1
526.92
MYC_TARGETS_V2
155.27
MYOGENESIS
519.46
NOTCH_SIGNALING
115.08
OXIDATIVE_PHOSPHORYLATION
110.32
P53_PATHWAY
670.69
PANCREAS_BETA_CELLS
103.74
PEROXISOME
153.44
PI3K_AKT_MTOR_SIGNALING
1150.65
PROTEIN_SECRETION
264.37
REACTIVE_OXYGEN_SPECIES_PATHWAY
106.55
SPERMATOGENESIS
263.99
TGF_BETA_SIGNALING
386.76
TNFA_SIGNALING_VIA_NFKB
778.05
UNFOLDED_PROTEIN_RESPONSE
191.34
UV_RESPONSE_DN
512.55
UV_RESPONSE_UP
505.12
WNT_BETA_CATENIN_SIGNALING
448.82
XENOBIOTIC_METABOLISM
247.29

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 = 0.880

SampleCancer typecos to ideal
EPT0291EPN0.880
TCGA-CF-A5U8-01A-11R-A28M-070.854
SRR122024980.843
SRR1443713GTEX0.841
SRR233037520.840

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