Precision Oncology · Interactive Mock-up

Target Identification & Validation Agent

Active run Pipeline v0.1-mock-up Powered by Claude
Select pilot indication:
Candidates Analyzed — genes screened
Targets Prioritized — high-confidence targets
Evidence Sources — databases queried
Avg. Confidence — composite score / 100

Target confidence distribution

Evidence source breakdown

Agent workflow

5 stages
01 Planning Decomposes disease indication into sub-questions; selects data sources and omics modalities.
02 Multi-omics Queries Open Targets, CELLxGENE, GEO; runs differential expression and network analysis via Scanpy/BioPython.
03 Literature RAG Retrieves PubMed abstracts + full-text PDFs; Claude long-context extraction of mechanistic claims.
04 Hypothesis Synthesizes omics + literature signals into ranked mechanistic hypotheses per candidate gene.
05 Scoring Assigns composite confidence score from druggability, association strength, novelty, and tractability.

Target rankings

Rank Gene Disease Association Omics Evidence Literature Score Confidence Tier

Evidence trail

Top 3 targets

Literature snippets

Mock RAG output

Pathway analysis

Enriched pathways

Pathway p-value Gene count Source Significance

About this agent

01

Planning Agent

Receives a disease indication and decomposes it into a structured research plan. Selects relevant omics modalities, databases, and literature search strategies.

02

Multi-omics Tool Caller

Executes API calls against Open Targets, CELLxGENE, and GEO. Processes expression matrices and network data using BioPython and Scanpy.

03

Literature RAG

Retrieves PubMed abstracts and full-text papers. Claude's long-context window extracts mechanistic claims, trial outcomes, and resistance mechanisms.

04

Hypothesis Generator

Synthesizes multi-modal signals into ranked mechanistic hypotheses. Flags contradictions between omics evidence and literature.

05

Confidence Scorer

Assigns composite scores from druggability indices, association strength, novelty vs. established targets, and clinical tractability.

Tech stack

Claude (Anthropic) LangChain / LlamaIndex Open Targets API CELLxGENE GEO / NCBI BioPython Scanpy PubMed E-utilities Streamlit / Gradio CCAF-certified delivery

Interested in a pilot?

We deploy this agent against your proprietary data with enterprise safeguards, audit logs, and CCAF-certified delivery.

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Part of the IT Sunset research-to-clinical pipeline Next: Clinical Trial Protocol Intelligence Agent →
Disclaimer

This dashboard is a concept demonstration developed by software engineers to illustrate how an AI-assisted target identification workflow might look in practice. It has not been reviewed, validated, or approved by medical professionals, clinical researchers, or regulatory bodies. All data, targets, scores, and literature excerpts are presented for illustrative purposes only. Nothing on this page constitutes medical advice, clinical guidance, or a recommendation for any diagnostic or therapeutic decision. Any real-world application of AI in drug discovery or clinical research must involve qualified domain experts and comply with applicable regulations.