tooluniverse-drug-research

Generate citation-rich drug research reports with 11 mandatory sections and data provenance.

1.6k|244|Updated Mar 3, 2025
One-click install
npx skills add https://github.com/mims-harvard/ToolUniverse --skill tooluniverse-drug-research
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: tooluniverse-drug-research
Source: https://github.com/mims-harvard/ToolUniverse/tree/main/skills/tooluniverse-drug-research
Command: npx skills add https://github.com/mims-harvard/ToolUniverse --skill tooluniverse-drug-research

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates the end-to-end generation of comprehensive drug research reports, ensuring traceable data sources, structured sections, and consistent formatting for decision making in pharmacology.

Core Features & Use Cases

  • Self-contained reporting: Produces 11 mandatory sections (identity, chemistry, pharmacology, targets, clinical trials, safety, pharmacogenomics, ADMET, regulatory, and more) with evidence-grade annotations.
  • Data provenance and completeness: Every fact is cited with tool names and parameters; includes an automated completeness audit.
  • Fallback-resilient pipelines: Multiple tools provide cross-checks and fallbacks (e.g., FDA label MOA vs predictive models) to avoid gaps when sources are missing.
  • Use case examples: Assess approved drugs (e.g., metformin) or investigational compounds, and compare mechanistic pathways, safety signals, and regulatory status.

Quick Start

Use the tool to create a drug report template and begin data collection for your compound of interest.

Frequently Asked Questions about tooluniverse-drug-research

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate a comprehensive drug research report with cited sources and safety data?

You can generate publication-ready drug research reports by integrating 50+ tools to compile 11 mandatory sections, including pharmacology, clinical trials, and safety, with every fact cited and an automated completeness audit.

What is included in an automated pharmacology report for clinical trials and drug safety?

An automated pharmacology report includes 11 mandatory sections covering identity, chemistry, targets, clinical trials, safety signals from FAERS, pharmacogenomics, ADMET, and regulatory status with evidence-grade annotations.

How do I handle missing pharmacology data when researching investigational compounds?

Handle missing pharmacology data by using fallback-resilient pipelines that cross-check sources, such as comparing FDA label mechanism of action against predictive models to prevent data gaps during drug research.

Can I assess approved drugs and investigational compounds using a single automated pipeline?

Yes, you can assess both approved drugs and investigational compounds by applying compound disambiguation and ID normalization to ensure accurate data collection across integrated research tools.

What is the best way to ensure data provenance and completeness in pharmacogenomics research?

Ensure data provenance and completeness by tracking every fact with tool names and parameters, applying evidence grading, and running an automated completeness audit across all 11 mandatory report sections.

Does the drug research reporting pipeline export results in a standard format?

The drug research pipeline exports results as a single Markdown report per query, ensuring consistent formatting and traceable data sources for pharmacology decision-making.