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
100.00
Gini
0.701
CATDS
0.031

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 Idelalisib. Strongest target: PKG2_PRKG2 at 27.4% inhibition.

Accessible data table
RankTargetInhibition %Residual activity %
1PKG2_PRKG227.4%72.6%
2PKN3_PRK318.6%81.4%
3DRAK1_STK17A16.6%83.4%
4BMPR215.6%84.4%
5ERK2_MAPK115.4%84.6%
6CAMK1B15.0%85.0%
7RIPK412.1%87.9%
8MLK3_MAP3K1111.0%89.0%
9MYO3A10.8%89.2%
10OSR1_OXSR110.6%89.4%
11FAK_PTK210.6%89.4%
12PDGFRB10.6%89.4%
13EPHB110.0%90.0%
14PDK2_PDHK210.0%90.0%
15MLK2_MAP3K1010.0%90.0%
16DAPK29.9%90.1%
17BRK9.9%90.1%
18STK25_YSK19.9%90.1%
19DNA_PK9.5%90.5%
20RIPK29.0%91.0%

Selectivity landscape

MeasuredDerived

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

Atlas insights for Idelalisib

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
181.77
ALLOGRAFT_REJECTION
535.41
ANDROGEN_RESPONSE
199.58
ANGIOGENESIS
99.68
APICAL_JUNCTION
647.35
APICAL_SURFACE
99.36
APOPTOSIS
642.13
BILE_ACID_METABOLISM
69.77
CHOLESTEROL_HOMEOSTASIS
98.42
COAGULATION
89.27
COMPLEMENT
377.37
DNA_REPAIR
140.77
E2F_TARGETS
499.21
EPITHELIAL_MESENCHYMAL_TRANSITION
188.37
ESTROGEN_RESPONSE_EARLY
308.41
ESTROGEN_RESPONSE_LATE
262.64
FATTY_ACID_METABOLISM
46.29
G2M_CHECKPOINT
468.00
GLYCOLYSIS
233.02
HEDGEHOG_SIGNALING
95.42
HEME_METABOLISM
173.34
HYPOXIA
401.36
IL2_STAT5_SIGNALING
248.22
IL6_JAK_STAT3_SIGNALING
293.04
INFLAMMATORY_RESPONSE
309.99
INTERFERON_ALPHA_RESPONSE
70.22
INTERFERON_GAMMA_RESPONSE
366.91
KRAS_SIGNALING_DN
124.53
KRAS_SIGNALING_UP
210.02
MITOTIC_SPINDLE
548.28
MTORC1_SIGNALING
374.14
MYC_TARGETS_V1
363.54
MYC_TARGETS_V2
100.54
MYOGENESIS
278.29
NOTCH_SIGNALING
33.26
OXIDATIVE_PHOSPHORYLATION
122.14
P53_PATHWAY
349.09
PANCREAS_BETA_CELLS
43.12
PEROXISOME
71.68
PI3K_AKT_MTOR_SIGNALING
706.36
PROTEIN_SECRETION
173.03
REACTIVE_OXYGEN_SPECIES_PATHWAY
37.73
SPERMATOGENESIS
160.65
TGF_BETA_SIGNALING
162.54
TNFA_SIGNALING_VIA_NFKB
355.77
UNFOLDED_PROTEIN_RESPONSE
146.53
UV_RESPONSE_DN
357.55
UV_RESPONSE_UP
290.09
WNT_BETA_CATENIN_SIGNALING
204.98
XENOBIOTIC_METABOLISM
180.82

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 = 0.864

SampleCancer typecos to ideal
EPT0291EPN0.864
TCGA-CF-A5U8-01A-11R-A28M-070.844
SRR233037520.838
SRR122024980.830
C3N-034200.829

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