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

Primary targets: PI3K · FDA status: FDA Approved

Selectivity scorecard

MeasuredDerived
KISS
97.22
Gini
0.720
CATDS
0.021

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 Alpelisib. Strongest target: RET at 99.6% inhibition.

Accessible data table
RankTargetInhibition %Residual activity %
1RET99.6%0.4%
2TRKB99.3%0.7%
3TRKC99.3%0.7%
4FGFR298.9%1.1%
5FGFR198.7%1.3%
6FGFR398.6%1.4%
7TRKA97.5%2.5%
8ROS_ROS197.1%2.9%
9FGFR496.8%3.2%
10JAK296.6%3.4%
11JAK192.2%7.8%
12DDR187.6%12.4%
13FLT382.6%17.4%
14EGFR81.3%18.7%
15ALK80.7%19.3%
16TXK80.0%20.0%
17ERBB4_HER470.6%29.4%
18MUSK70.2%29.8%
19BMX_ETK68.9%31.1%
20BLK67.4%32.6%

Selectivity landscape

MeasuredDerived

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

Atlas insights for Alpelisib

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
2032.76
ALLOGRAFT_REJECTION
6218.84
ANDROGEN_RESPONSE
1460.57
ANGIOGENESIS
1006.98
APICAL_JUNCTION
6335.32
APICAL_SURFACE
744.57
APOPTOSIS
4379.85
BILE_ACID_METABOLISM
705.82
CHOLESTEROL_HOMEOSTASIS
1142.83
COAGULATION
612.24
COMPLEMENT
3657.82
DNA_REPAIR
1378.33
E2F_TARGETS
3023.74
EPITHELIAL_MESENCHYMAL_TRANSITION
1141.85
ESTROGEN_RESPONSE_EARLY
1890.31
ESTROGEN_RESPONSE_LATE
1995.20
FATTY_ACID_METABOLISM
876.20
G2M_CHECKPOINT
2932.76
GLYCOLYSIS
2036.19
HEDGEHOG_SIGNALING
503.26
HEME_METABOLISM
1232.53
HYPOXIA
2881.05
IL2_STAT5_SIGNALING
2256.89
IL6_JAK_STAT3_SIGNALING
5610.91
INFLAMMATORY_RESPONSE
3633.52
INTERFERON_ALPHA_RESPONSE
736.05
INTERFERON_GAMMA_RESPONSE
5517.56
KRAS_SIGNALING_DN
577.70
KRAS_SIGNALING_UP
2330.14
MITOTIC_SPINDLE
3918.92
MTORC1_SIGNALING
2553.28
MYC_TARGETS_V1
2257.38
MYC_TARGETS_V2
467.58
MYOGENESIS
1904.54
NOTCH_SIGNALING
164.81
OXIDATIVE_PHOSPHORYLATION
1453.45
P53_PATHWAY
2073.67
PANCREAS_BETA_CELLS
155.21
PEROXISOME
803.31
PI3K_AKT_MTOR_SIGNALING
7164.44
PROTEIN_SECRETION
1639.77
REACTIVE_OXYGEN_SPECIES_PATHWAY
290.52
SPERMATOGENESIS
967.91
TGF_BETA_SIGNALING
1301.04
TNFA_SIGNALING_VIA_NFKB
3226.13
UNFOLDED_PROTEIN_RESPONSE
1019.88
UV_RESPONSE_DN
3139.27
UV_RESPONSE_UP
2334.10
WNT_BETA_CATENIN_SIGNALING
1274.96
XENOBIOTIC_METABOLISM
1514.99

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 = 3.06 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 = 0.837

SampleCancer typecos to ideal
EPT0291EPN0.837
SRR233037520.831
SRR108999840.830
TCGA-FD-A43X-01A-11R-A23W-070.820
aMVAC.P_005_TURBT_S2230.820

Annotations

Sign in to read and post annotations.

Loading…