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

Primary targets: BTK · FDA status: FDA Phase III Trials

Selectivity scorecard

MeasuredDerived
KISS
99.50
Gini
0.721
CATDS
0.076

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 Remibrutinib. Strongest target: BTK at 97.7% inhibition.

Accessible data table
RankTargetInhibition %Residual activity %
1BTK97.7%2.3%
2BMX_ETK91.9%8.1%
3TEC71.9%28.1%
4SGK222.5%77.5%
5PKN3_PRK320.1%79.9%
6TYK216.2%83.8%
7P38D_MAPK1314.9%85.1%
8MST413.7%86.3%
9LCK2_ICK13.1%86.9%
10ROCK113.1%86.9%
11IKKE_IKBKE12.8%87.2%
12NEK312.3%87.7%
13TXK11.8%88.2%
14PKG1B11.0%89.0%
15WNK310.6%89.4%
16RIPK210.5%89.5%
17CDK2_CYCLIN_A110.5%89.5%
18CAMKK110.3%89.8%
19PAK610.2%89.8%
20MKK610.1%89.9%

Selectivity landscape

MeasuredDerived

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

Atlas insights for Remibrutinib

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-target19%
Off-target81%
Ghost (2nd-order)0%
PathwayCompositionTotal |Π|
ADIPOGENESIS
280.32
ALLOGRAFT_REJECTION
986.85
ANDROGEN_RESPONSE
323.29
ANGIOGENESIS
80.14
APICAL_JUNCTION
850.63
APICAL_SURFACE
68.44
APOPTOSIS
796.09
BILE_ACID_METABOLISM
80.64
CHOLESTEROL_HOMEOSTASIS
67.55
COAGULATION
90.62
COMPLEMENT
471.77
DNA_REPAIR
415.55
E2F_TARGETS
687.36
EPITHELIAL_MESENCHYMAL_TRANSITION
424.92
ESTROGEN_RESPONSE_EARLY
355.48
ESTROGEN_RESPONSE_LATE
329.07
FATTY_ACID_METABOLISM
36.26
G2M_CHECKPOINT
694.36
GLYCOLYSIS
244.39
HEDGEHOG_SIGNALING
94.48
HEME_METABOLISM
273.03
HYPOXIA
477.40
IL2_STAT5_SIGNALING
370.68
IL6_JAK_STAT3_SIGNALING
341.44
INFLAMMATORY_RESPONSE
679.26
INTERFERON_ALPHA_RESPONSE
83.92
INTERFERON_GAMMA_RESPONSE
532.17
KRAS_SIGNALING_DN
106.27
KRAS_SIGNALING_UP
354.57
MITOTIC_SPINDLE
855.29
MTORC1_SIGNALING
469.54
MYC_TARGETS_V1
380.77
MYC_TARGETS_V2
132.76
MYOGENESIS
628.49
NOTCH_SIGNALING
35.90
OXIDATIVE_PHOSPHORYLATION
76.14
P53_PATHWAY
576.89
PANCREAS_BETA_CELLS
70.76
PEROXISOME
107.12
PI3K_AKT_MTOR_SIGNALING
1114.25
PROTEIN_SECRETION
161.43
REACTIVE_OXYGEN_SPECIES_PATHWAY
48.29
SPERMATOGENESIS
175.20
TGF_BETA_SIGNALING
295.58
TNFA_SIGNALING_VIA_NFKB
695.48
UNFOLDED_PROTEIN_RESPONSE
170.65
UV_RESPONSE_DN
466.57
UV_RESPONSE_UP
400.27
WNT_BETA_CATENIN_SIGNALING
369.15
XENOBIOTIC_METABOLISM
241.38

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 = 0.845

SampleCancer typecos to ideal
TCGA-CF-A5U8-01A-11R-A28M-070.845
EPT0291EPN0.844
SRR1443713GTEX0.824
SRR108999840.819
SRR122024980.818

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