Research Use Only. KIRhub outputs are computational research artifacts. They are not validated for clinical decision-making, diagnosis, or treatment.
KIRhub Platform · v0.1.092 inhibitors×384 kinasesResearch only
Clinical genomics · oncology

From a patient mutation to a ranked drug list.

Drop in a VCF, MAF, or variant list. Three-tier matching, PHI scanned, nothing persists.

Rx
92
Clinical kinase inhibitors
K
384
Kinases profiled (WT)
V
200
Annotated variants
L
30
Cancer lineages

Clinical workflows

Built for the moment a clinician needs an answer about a specific patient or trial.

Comparative analytics

Side-by-side comparison and discovery across the inhibitor landscape.

Compare drugs

Heatmap up to six drugs across any target panel; ranks targets by maximum inhibition.

Open comparator

Repurposing opportunities

Score off-label drug–kinase pairs by selectivity-adjusted inhibition; sort and filter.

See candidates

Polypharmacology network

Threshold-tunable drug ↔ kinase bipartite graph. Useful for spotting hub kinases and overlap.

Open graph

Combination recommender

Pick a target set; get drug pairs ranked by coverage minus off-target overlap.

Build combos

EMT volcano

Differential kinase expression between epithelial and mesenchymal states, with highlight links.

View volcano

Variant atlas

Browse the annotated variant catalog. Each variant links to drug activity on-variant vs. wild-type.

Browse variants
Σ

Pathway reversal — single sample

For one tumor sample, rank approved kinase inhibitors by predicted ability to reverse its pathway state. Heatmap + polypharmacology network show which kinases drive the score.

Open workbench
Σ̄

Pathway reversal — cohort

Aggregate the scorer across every sample in a cohort (project + facet filter). Returns median drug ranking with IQR and positive-fraction across the cohort.

Score a cohort
Δ

Pathway reversal — compare

Two cohorts side-by-side. Drugs ranked by Δ-reversal-score identify candidates that selectively reverse one cohort's biology but not the other's.

Compare cohorts

The Pathway Atlas

11 cross-linked discoveries built from the joint geometry of 9,200 tumors and 92 drugs in pathway space. Tumor maps, drug perturbation maps, pathway co-activation, drug deserts, the orphan-ideal search, and more — all reachable from any drug or sample in the platform.

Open the atlas

Oncoscape cohorts

Browse the ingested multi-omics tumor cohorts. Drill into any sample's GSVA pathway state and score it with the reversal workbench.

Browse cohorts

Polypharmacology landscape

Every drug placed by promiscuity (x) vs. selectivity (y). Click any point to open the drug profile.

MeasuredDerived
How to read: x is the drug's mean inhibition across all profiled kinases at 1 μM — right means it hits more of the kinome harder. y is the Gini coefficient of that inhibition vector — high means the activity is concentrated on a small number of targets (selective); low means it spreads its activity across many kinases. Dotted lines mark the dataset means; marker color repeats x for a quick visual sort. Hover any drug to see exact values; click to open its profile.

Most selective inhibitors

MeasuredDerived

Highest Gini concentration — activity focused on a small set of targets.

Pan-kinase reach

MeasuredDerived

Highest mean inhibition — broad coverage, watch for off-target risk.

Drug catalog

92 compounds. Filter by name or primary target.

saifudeen2026@1.0.0
92 of 92 shown
Abemaciclib
CDK4_CYCLIN_D1, CDK4_CYCLIN_D3, CDK4_CYCLIN_D2, CDK6_CYCLIN_D1, CDK6_CYCLIN_D3, CDK6_CYCLIN_D2
Abrocitinib
JAK1
Acalabrutinib
BTK
Afatinib
EGFR, ERBB2_HER2, ERBB4_HER4
Alectinib
ALK, RET
Alpelisib
PI3K
Apatinib
KDR_VEGFR2
Asciminib
BCR_ABL, ABL1, ABL2_ARG
Avapritinib
PDGFRA, PDGFRB
Axitinib
FLT1_VEGFR1, KDR_VEGFR2, FLT4_VEGFR3
Baricitinib
JAK1, JAK2
Binimetinib
MEK1, MEK2
Bosutinib
BCR_ABL, ABL1, ABL2_ARG
Brigatinib
ALK
Cabozantinib
RET, KDR_VEGFR2
Canertinib
ERBB2_HER2
Capivasertib
AKT1, AKT2, AKT3
Capmatinib
C_MET
Ceritinib
ALK
Cobimetinib
MEK1, MEK2
Crizotinib
ALK, ROS_ROS1
Dabrafenib
BRAF
Dacomitinib
EGFR
Darovasertib
PKCA, PKCB1, PKCB2, PKCD, PKCEPSILON, PKCETA, PKCG, PKCIOTA, PKCMU_PRKD1, PKCNU_PRKD3, PKCTHETA, PKCZETA
Dasatinib
BCR_ABL, ABL1, ABL2_ARG
Defactinib
FAK_PTK2
Deucravacitinib
TYK2
Duvelisib
PI3K
Encorafenib
BRAF
Entrectinib
TRKA
Erdafitinib
FGFR1
Erlotinib
EGFR
Everolimus
FKBP12, MTOR_FRAP1
Fedratinib
JAK2
Fostamatinib
SYK
Futibatinib
FGFR2
Gedatolisib
PI3K, MTOR_FRAP1
Gefitinib
EGFR
Gilteritinib
FLT3
Ibrutinib
BTK
Idelalisib
PI3K
Imatinib
BCR_ABL, ABL1, ABL2_ARG
Inavolisib
PI3K
Infigratinib
FGFR2
Lapatinib
EGFR, ERBB2_HER2
Larotrectinib
TRKA, TRKB, TRKC
Lazertinib
EGFR
Leniolisib
PI3K
Lenvatinib
FLT1_VEGFR1, FLT4_VEGFR3, KDR_VEGFR2, RET
Lorlatinib
ALK
Midostaurin
FLT3
Mitapivat
PK
Mobocertinib
EGFR
Neratinib
ERBB2_HER2
Netarsudil
ROCK1, ROCK2
Nilotinib
BCR_ABL, ABL1, ABL2_ARG
Nintedanib
FGFR1, FGFR2, FGFR3
Osimertinib
EGFR
Pacritinib
JAK2
Palbociclib
CDK4_CYCLIN_D1, CDK4_CYCLIN_D3, CDK4_CYCLIN_D2, CDK6_CYCLIN_D1, CDK6_CYCLIN_D3, CDK6_CYCLIN_D2
Paxalisib
PI3K, MTOR_FRAP1
Pazopanib
FLT1_VEGFR1, FLT4_VEGFR3, KDR_VEGFR2
Pemigatinib
FGFR2
Pexidartinib
FMS
Pirtobrutinib
BTK
Ponatinib
BCR_ABL, ABL1, ABL2_ARG
Pralsetinib
RET
Quizartinib
FLT3
Rabusertib
CHK1
Regorafenib
FLT1_VEGFR1, FLT4_VEGFR3, KDR_VEGFR2
Remibrutinib
BTK
Repotrectinib
ROS_ROS1
Ribociclib
CDK4_CYCLIN_D1, CDK4_CYCLIN_D3, CDK4_CYCLIN_D2, CDK6_CYCLIN_D1, CDK6_CYCLIN_D3, CDK6_CYCLIN_D2
Ripretinib
C_KIT, PDGFRA, PDGFRB
Ruxolitinib
JAK1, JAK2, JAK3, TYK2
Selpercatinib
RET
Selumetinib
MEK1, MEK2
Sirolimus
FKBP12, MTOR_FRAP1
Sorafenib
FLT1_VEGFR1, FLT4_VEGFR3, KDR_VEGFR2
Sunitinib
KDR_VEGFR2
Temsirolimus
FKBP12, MTOR_FRAP1
Tenalisib
PI3K
Tepotinib
C_MET
Tivozanib
KDR_VEGFR2
Tofacitinib
JAK3
Trametinib
MEK1, MEK2
Tucatinib
ERBB2_HER2
Umbralisib
CK1EPSILON, PI3K
Upadacitinib
JAK1
Vandetanib
KDR_VEGFR2
Vemurafenib
BRAF
Zanubrutinib
BTK