patsnap-target-disease

Setup

Get your API Key at https://open.patsnap.com

Patsnap Target & Disease

This skill connects your AI agent to Patsnap's Target & Disease MCP server — providing professional-grade life sciences intelligence.

Target and disease profiling tool, covering target characterization, disease profiling, and epidemiology evidence retrieval.

Prerequisites

This skill requires the Patsnap Target & Disease MCP server to be configured in your environment:

{
  "mcpServers": {
    "target_disease": {
      "url": "https://connect.patsnap.com/2a2645/logic-mcp?apikey=YOUR_API_KEY",
      "type": "streamableHttp"
    }
  }
}

Get your API key at open.patsnap.com. For the full list of available tools and input parameters, refer to the official MCP server documentation: https://open.patsnap.com/marketplace/mcp-servers/target-disease

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Instructions for AI Agents

Step 1: Normalize Entities First

Before executing any search or fetch operation, normalize targets, drugs, diseases, companies, and clinical trial IDs to Patsnap internal IDs when possible. This improves retrieval accuracy.

Step 2: Choose the Right Tool

Select search tools for discovery and corresponding _fetch tools for full records. Use vector search tools for natural-language evidence queries.

Step 3: Fetch Full Records

Search tools return summary results with IDs. Follow up with the appropriate _fetch tool when the user needs complete details.

Step 4: Synthesize and Structure Output

Lead with key findings, cite sources, highlight data gaps, and use tables for comparisons.

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Example Workflows

Target Prioritization

1. Normalize the target name with ls_ner_nor_normalize.
2. Use target_fetch to retrieve target structure and druggability data.
3. Search epidemiology_search for disease burden evidence.

Disease Landscape

1. Normalize the disease name.
2. Use disease_fetch to retrieve disease profile and standard of care.
3. Cross-reference epidemiology evidence to assess unmet need.