drug-discovery-pipeline
CommunityCoordinate multi-agent drug discovery for OM.
Education & Research#knowledge graph#drug discovery#multi-agent orchestration#ADMET#drug repurposing#oral mucositis#consensus ranking
AuthorOpenSourcePharmaFoundation
Version1.0.0
Installs0
System Documentation
What problem does it solve?
It helps you discover and prioritize candidate drugs for Oral Mucositis by coordinating multiple expert perspectives and synthesizing their evidence into a single consensus recommendation.
Core Features & Use Cases
- Multi-agent orchestration: Spawns domain expert agents (chemistry, oncology/clinical context, ethnobotany, target validation, ADMET, and disease biology) to analyze candidates independently.
- Evidence synthesis with debate: Detects agreements and conflicts across agent outputs, runs a devil’s advocate challenge, and resolves disagreements into a weighted consensus.
- End-to-end pipeline reporting: Produces a structured consensus ranking, combination recommendation, and a practical path-to-patients assessment based on the configured protocol.
Quick Start
Run the drug-discovery-pipeline skill to generate a consensus ranked list of Oral Mucositis treatment candidates using the available processed data, with multi-agent debate and a final executive report.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: drug-discovery-pipeline Download link: https://github.com/OpenSourcePharmaFoundation/ospf-ayurveda-kg/archive/main.zip#drug-discovery-pipeline Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
Agent Skills Search Helper
Install a tiny helper to your Agent, search and equip skill from 471,000+ vetted skills library on demand.