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Discoveries/NINTEDANIB
✓ X-VAULT VERIFIEDRESEARCH SIGNALNOVELTY: EXCEPTIONAL

NINTEDANIB

Similarity bridge: nintedanib ↔ su_014813 via KDR, FGFR1, PDGFRA +7 more candidate

70.0
discovery score
PubMed Studies
—
Novelty
Exceptional
Signal
Research Signal
Sealed
May 14, 2026
BiohacksAI Hypothesis

Nintedanib may modulate the Similarity bridge: nintedanib ↔ su_014813 via KDR, FGFR1, PDGFRA +7 more pathway based on its molecular target profile in the BiohacksAI corpus. This compound shows biological activity against validated targets with limited prior literature coverage, suggesting an understudied mechanism-of-action with potential research value.

Computational hypothesis based on target graph analysis. Not a confirmed mechanism. Independent experimental validation required.

Mechanism Discovery Graph
KDRFGFR1PDGFRAFLT1FLT4SRCFLT3LYNNINTEDANI
High-value target (Tier 3)
Research target (Tier 2)
Standard target
Pathway
Knowledge gap (≤5 studies)
Biological Plausibility

The Similarity bridge: nintedanib ↔ su_014813 via KDR, FGFR1, PDGFRA +7 more pathway is a validated biological target area with established relevance in human disease and health research.

Nintedanib shows target overlap with compounds previously characterized in this pathway within the BiohacksAI corpus of 31,590 graph entities and 1.51M PubMed studies.

Novelty Indicators
Literature coverage
Pending ledger sync
Low coverage = higher novelty potential
Discovery score
70.00
target_count × pathway_diversity / log(studies + 2)
Mechanism area
Similarity bridge: nintedanib ↔ su_014813 via KDR, FGFR1, PDGFRA +7 more
Primary biological pathway
Novelty rating
Exceptional
Derived from score + literature coverage
Research Context
◈
Literature coverage
Detailed data pending ledger sync
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X-Vault timestamp
Sealed May 14, 2026 — cryptographic proof of discovery date and corpus version
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Corpus scope
BiohacksAI corpus only — not a comprehensive literature or patent database search
◈
Mechanism area
Similarity bridge: nintedanib ↔ su_014813 via KDR, FGFR1, PDGFRA +7 more — computationally derived, requires experimental confirmation

This section reflects computational signal strength only. All findings require independent expert validation before any research or commercial use.

Suggested Validation Steps
1Similarity bridge: nintedanib ↔ su_014813 via KDR, FGFR1, PDGFRA +7 more pathway target binding assay
2Dose-response curve (EC50 determination)
3Cellular viability and selectivity panel
4In vitro ADMET profiling

Validation roadmap is algorithmically derived from pathway context. Full experimental protocol available in Priority Signal discovery reports.

Target Relevance
KDR
Standard
FGFR1
Standard
PDGFRA
Standard
FLT1
Standard
FLT4
Standard
SRC
High value

Target tier based on BiohacksAI HIGH_VALUE_TARGETS registry.

Discovery Lineage
Generated byBiohacksAI Discovery Engine
Engine versionDISCOVERY_v1.2
Corpus versioncurrent
Graph entities31,590 compounds analyzed
PubMed coverage1.51M studies
Discovery dateMay 14, 2026 at 03:00 AM UTC
X-Vault Evidence SealXVAULT_v1
Discovery IDdisc_T2_nintedanib_su_014813_f5cfa1d1
Event Hash620bb62c5f0d0744…2cab6cc0
Chain Hash900afc8468a4a1b7…0921efa7
Vault Index#3023
Sealed At2026-05-14T03:00:03.119Z
Verify this discovery →↓ Demo PDF (X-Vault sealed)

Demo report — computational hypothesis only. Not validated. For X-Vault verification testing.

Full Discovery ReportLOCKED
🔒
Mechanism hypothesis (expanded)
Detailed molecular mechanism with target confidence scores and binding context
🔒
Complete target mapping
All validated molecular targets with affinity data and evidence levels
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Biological pathway network
Full pathway coverage map with crosstalk and downstream effects
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Graph position + related compounds
Structural neighbors in the BiohacksAI compound graph — potential analogs
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Supporting PMIDs
Curated PubMed references with relevance ranking
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X-Vault sealed PDF
Cryptographically verified 20-30 page discovery report

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All discoveries are computational hypothesis candidates — not confirmed mechanisms. Independent experimental validation is required before any research or commercial use. Organiq Sweden AB · BiohacksAI β