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

Primary targets: PI3K, MTOR_FRAP1 · FDA status: FDA Phase III Trials to begin

Selectivity scorecard

MeasuredDerived
KISS
99.75
Gini
0.609
CATDS
0.039

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 Paxalisib. Strongest target: CHK1 at 95.2% inhibition.

Accessible data table
RankTargetInhibition %Residual activity %
1CHK195.2%4.8%
2MTOR_FRAP181.2%18.8%
3RAF154.2%45.8%
4MLK2_MAP3K1046.7%53.3%
5YES_YES142.8%57.2%
6MLK3_MAP3K1138.6%61.4%
7CAMK2D35.8%64.2%
8RSK334.1%65.9%
9LCK29.5%70.5%
10BTK27.1%72.9%
11CDK3_CYCLIN_C26.6%73.4%
12HCK26.0%74.0%
13CAMK2A24.1%75.9%
14PAK422.5%77.5%
15SYK22.3%77.7%
16FLT320.6%79.4%
17BLK20.2%79.8%
18FYN20.2%79.8%
19TXK19.4%80.6%
20FGR19.1%80.9%

Selectivity landscape

MeasuredDerived

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

Atlas insights for Paxalisib

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
745.70
ALLOGRAFT_REJECTION
2390.81
ANDROGEN_RESPONSE
606.71
ANGIOGENESIS
353.86
APICAL_JUNCTION
2577.67
APICAL_SURFACE
229.23
APOPTOSIS
2057.03
BILE_ACID_METABOLISM
244.06
CHOLESTEROL_HOMEOSTASIS
189.79
COAGULATION
292.51
COMPLEMENT
1339.28
DNA_REPAIR
480.73
E2F_TARGETS
1541.35
EPITHELIAL_MESENCHYMAL_TRANSITION
758.09
ESTROGEN_RESPONSE_EARLY
1149.86
ESTROGEN_RESPONSE_LATE
995.17
FATTY_ACID_METABOLISM
169.10
G2M_CHECKPOINT
1535.35
GLYCOLYSIS
807.77
HEDGEHOG_SIGNALING
229.55
HEME_METABOLISM
734.20
HYPOXIA
1028.06
IL2_STAT5_SIGNALING
834.55
IL6_JAK_STAT3_SIGNALING
1242.79
INFLAMMATORY_RESPONSE
1543.51
INTERFERON_ALPHA_RESPONSE
239.30
INTERFERON_GAMMA_RESPONSE
1556.32
KRAS_SIGNALING_DN
415.65
KRAS_SIGNALING_UP
945.85
MITOTIC_SPINDLE
1782.87
MTORC1_SIGNALING
1201.41
MYC_TARGETS_V1
1025.64
MYC_TARGETS_V2
301.77
MYOGENESIS
1044.22
NOTCH_SIGNALING
96.72
OXIDATIVE_PHOSPHORYLATION
271.91
P53_PATHWAY
935.42
PANCREAS_BETA_CELLS
97.96
PEROXISOME
384.77
PI3K_AKT_MTOR_SIGNALING
2468.76
PROTEIN_SECRETION
617.96
REACTIVE_OXYGEN_SPECIES_PATHWAY
159.59
SPERMATOGENESIS
506.39
TGF_BETA_SIGNALING
577.74
TNFA_SIGNALING_VIA_NFKB
1515.64
UNFOLDED_PROTEIN_RESPONSE
527.68
UV_RESPONSE_DN
1433.89
UV_RESPONSE_UP
1044.80
WNT_BETA_CATENIN_SIGNALING
700.39
XENOBIOTIC_METABOLISM
566.37

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 = 3.10 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 = 0.848

SampleCancer typecos to ideal
EPT0291EPN0.848
TCGA-CF-A5U8-01A-11R-A28M-070.840
SRR233037520.838
SRR122024980.826
aMVAC.P_005_TURBT_S2230.825

Annotations

Sign in to read and post annotations.

Loading…