Target Drug Development Report (Enhanced)
Overview
Generate beautiful, comprehensive reports on drug development progress for therapeutic targets.
Features:
- 7 analysis sections with visualizations
- HTML and Markdown output formats
- Responsive design for all devices
- Print-friendly for PDF export
When to Use
- User asks about a specific target's drug development status
- Need to summarize clinical trial progress for a target
- Researching competitive landscape for a therapeutic target
- Understanding drug pipeline and market opportunities
Workflow
from open_biomed.tools.tool_registry import TOOLS
target_name = "CGRP"
# Step 1: Multi-source search
web_search = TOOLS["web_search"]
# Search clinical trials
trial_results, _ = web_search.run(
query=f"{target_name} clinical trial 2024 2025"
)
# Search research papers
paper_results, _ = web_search.run(
query=f"{target_name} discovery mechanism site:pubmed.ncbi.nlm.nih.gov"
)
# Step 2: Generate report
report = generate_target_report(
target=target_name,
output_format="html" # or "markdown"
)
Report Sections
| Section |
Description |
Key Content |
| 🎯 靶点概况 |
Target overview |
Protein function, diseases |
| 💊 已上市药物 |
Approved drugs |
Name, company, indication |
| 🏥 临床管线 |
Clinical pipeline |
Phase distribution, drugs |
| 📚 研究热点 |
Research trends |
Publications, directions |
| 📜 专利布局 |
Patent landscape |
Trends, applicants |
| 📊 市场分析 |
Market analysis |
Size, competition |
| 🔮 投资展望 |
Investment outlook |
Opportunities, risks |
Output Formats
HTML (推荐)
- Modern responsive design
- Interactive charts and progress bars
- Color-coded status tags
- Print to PDF support
Markdown
- Plain text format
- Table-based layout
- Version control friendly
- Easy to edit
Usage
# Generate HTML report
report = generate_target_report("EGFR", output_format="html")
# Generate Markdown report
report = generate_target_report("KRAS", output_format="markdown")
# Save to file
report = generate_target_report(
target="BCL-2",
output_format="html",
output_path="report.html"
)
Error Handling
When web search is unavailable, uses built-in knowledge for common targets:
- EGFR, KRAS, BCL-2, ALK, BRAF, HER2 (Oncology)
- PD-1, CTLA-4 (Immunology)
- CGRP, JAK, BTK (Other)
Files
target-drug-report/
├── SKILL.md # This file
├── examples/
│ └── basic_example.py # Report generator script
└── references/
├── html_template.py # HTML template
└── data_sources.md # Data source reference
Limitations
- Requires network for real-time data
- Built-in knowledge for ~20 common targets
- Patent data may be incomplete
1---2name: target-drug-report3description: Generate comprehensive drug development progress reports for disease therapeutic targets. Use when user asks about target drug pipeline, clinical trials, or research progress. Triggers on phrases like "target report", "drug development progress", "clinical trial summary", "靶点报告", "药物研发进展", "竞品分析", "专利分析".4---56# Target Drug Development Report (Enhanced)78## Overview910Generate beautiful, comprehensive reports on drug development progress for therapeutic targets.1112**Features:**13- 7 analysis sections with visualizations14- HTML and Markdown output formats15- Responsive design for all devices16- Print-friendly for PDF export1718## When to Use1920- User asks about a specific target's drug development status21- Need to summarize clinical trial progress for a target22- Researching competitive landscape for a therapeutic target23- Understanding drug pipeline and market opportunities2425## Workflow2627```python28from open_biomed.tools.tool_registry import TOOLS2930target_name = "CGRP"3132# Step 1: Multi-source search33web_search = TOOLS["web_search"]3435# Search clinical trials36trial_results, _ = web_search.run(37 query=f"{target_name} clinical trial 2024 2025"38)3940# Search research papers41paper_results, _ = web_search.run(42 query=f"{target_name} discovery mechanism site:pubmed.ncbi.nlm.nih.gov"43)4445# Step 2: Generate report46report = generate_target_report(47 target=target_name,48 output_format="html" # or "markdown"49)50```5152## Report Sections5354| Section | Description | Key Content |55|---------|-------------|-------------|56| 🎯 靶点概况 | Target overview | Protein function, diseases |57| 💊 已上市药物 | Approved drugs | Name, company, indication |58| 🏥 临床管线 | Clinical pipeline | Phase distribution, drugs |59| 📚 研究热点 | Research trends | Publications, directions |60| 📜 专利布局 | Patent landscape | Trends, applicants |61| 📊 市场分析 | Market analysis | Size, competition |62| 🔮 投资展望 | Investment outlook | Opportunities, risks |6364## Output Formats6566### HTML (推荐)67- Modern responsive design68- Interactive charts and progress bars69- Color-coded status tags70- Print to PDF support7172### Markdown73- Plain text format74- Table-based layout75- Version control friendly76- Easy to edit7778## Usage7980```python81# Generate HTML report82report = generate_target_report("EGFR", output_format="html")8384# Generate Markdown report85report = generate_target_report("KRAS", output_format="markdown")8687# Save to file88report = generate_target_report(89 target="BCL-2",90 output_format="html",91 output_path="report.html"92)93```9495## Error Handling9697When web search is unavailable, uses built-in knowledge for common targets:98- EGFR, KRAS, BCL-2, ALK, BRAF, HER2 (Oncology)99- PD-1, CTLA-4 (Immunology)100- CGRP, JAK, BTK (Other)101102## Files103104```105target-drug-report/106├── SKILL.md # This file107├── examples/108│ └── basic_example.py # Report generator script109└── references/110 ├── html_template.py # HTML template111 └── data_sources.md # Data source reference112```113114## Limitations115116- Requires network for real-time data117- Built-in knowledge for ~20 common targets118- Patent data may be incomplete
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