Cross-Indication Validation · 3 Therapeutic Areas · 28 Targets

Discovery Sprints Dashboard

Three independent discovery sprints across oncology, neurodegeneration, and immunology. 28 targets analyzed through the V5 engine to validate cross-indication discrimination, modality separation, and state-dependent behavior.

AREA:CLASS:

All Targets (28)

%ILEMODALITY
JAK1JAK1
6N7A (A)
Immun95100thPURSUETraditional SM
RB1 Pocket DomainRB1
3POM, 1N4M
Oncol9495th–100thPURSUETraditional SM
PD-L1CD274
5J89 (A)
Immun9397thPURSUETraditional SM
LRRK2 KinaseLRRK2
7LI4 (A)
Neuro9198thPURSUETraditional SM
BTKBTK
5P9J (A)
Immun8897thPURSUETraditional SM
KEAP1 Kelch DomainKEAP1
4IFL, 4L7B
Oncol8692nd–95thPURSUETraditional SM
CTLA-4CTLA4
3OSK
Immun8392ndBORDERLINEBiologic Only
GSK3-betaGSK3B
1Q5K (A)
Neuro8292ndPURSUETraditional SM
TYK2TYK2
6NZP (A)
Immun8292ndPURSUETraditional SM
AChEACHE
4EY7 (A)
Neuro8090thPURSUETraditional SM
STAT3 SH2STAT3
6NUQ, 1BG1
Oncol7880th–87thBORDERLINETraditional SM
TDP-43 RRM1TARDBP
4BS2 (A)
Neuro7685thPURSUETraditional SM
CD20MS4A1
AF P11836
Immun7482ndNO-GOBiologic Only
BACE1BACE1
4IVT (A)
Neuro7281stPURSUETraditional SM
IRAK4IRAK4
6EGA (A)
Immun6976thPURSUETraditional SM
PSEN1 (gamma-secretase)PSEN1
5A63 (B)
Neuro6875thPURSUETraditional SM
TNF-alphaTNF
2AZ5 (A)
Immun6671stBORDERLINEBorderline SM
TEAD4TEAD4
5OAQ, 8CAA
Oncol5949th–66thSTATE-DEPFragment-First
SOD1SOD1
AF P00441
Neuro5562ndBORDERLINEFragment-First
PCNAPCNA
1VYM, 3WGW
Oncol5345th–59thSTATE-DEPFragment-First
HuntingtinHTT
6EZ8 (A)
Neuro5359thBORDERLINEFragment-First
TCF7L2TCF7L2
1JDH, AF
Oncol310th–35thNO-GOBiologic Only
IL-17AIL17A
5HI3 (A)
Immun2242ndNO-GOBiologic Only
NRF2 (Neh2)NFE2L2
7X5F
Oncol55thNO-GOBiologic Only
BCL9BCL9
AlphaFold
Oncol33rdNO-GOBiologic Only
Tau (MAPT)MAPT
AF P10636
Neuro33rdNO-GOBiologic Only
YAP1YAP1
3KYS-B
Oncol00thNO-GONone
alpha-SynucleinSNCA
AF P37840
Neuro00thNO-GONone

Cross-Indication Insights

CONSISTENT KINASE DISCRIMINATION ACROSS ALL THREE AREAS

Every kinase across all three sprints scored as PURSUE: KEAP1 (84–86), LRRK2 (91), GSK3-beta (82), JAK1 (95), BTK (88), TYK2 (82), IRAK4 (69). The engine produces consistent, high-confidence signals for this validated target class regardless of therapeutic area — a 7/7 positive control rate.

UNAMBIGUOUS IDP REJECTION ACROSS INDICATIONS

Every intrinsically disordered protein scored 0–5/100: BCL9 (3), YAP1 (0), NRF2 (5), Tau (3), alpha-synuclein (0). The engine produces clear, unambiguous no-go signals for IDPs regardless of their therapeutic area or disease relevance — preventing resource waste on structurally intractable targets.

MODALITY DISCRIMINATION — THE IMMUNOLOGY DIFFERENTIATOR

The immunology sprint uniquely tested modality discrimination. CTLA-4 (83/100) and CD20 (74/100) scored as structurally druggable but were correctly flagged as biologics-only by Layer E. This separation of structural druggability from therapeutic modality is critical for immunology targets where the biologics vs. small-molecule decision determines the entire development strategy.

28 TARGETS, ZERO FALSE POSITIVES

Across all 28 targets, no target with an approved small-molecule drug received a no-go classification, and no intrinsically disordered protein received a pursue classification. The engine's discrimination boundary is clean: validated targets score high, intractable targets score low, and the borderline cases (STAT3, HTT, TNF-alpha) are genuinely ambiguous in the field.