The original title is "Prompt-to-Paper: Agentic AI System for Bioinformatics"

Short summary

Prompt-to-Paper is a multi-agent framework that generates bioinformatics manuscripts with verifiable citations, real executed experiments, and automated quality scoring. It uses a deterministic RAG pipeline grounding claims in 60–100 papers, an autonomous coding agent that runs actual computational biology experiments, and an eight-dimensional quality scorer with hallucination penalties. Across five case studies, the system produced submission-ready PDFs at ~$0.31 per paper, raising quality scores by an average of +17.96 points on a 0–100 scale.

• •Multi-agent system generates bioinformatics manuscripts with grounded citations and real experiments
• •RAG pipeline grounds claims in 60–100 papers; autonomous coding agent executes actual computational biology
• •Eight-dimensional quality scorer with hallucination penalties; validated on 5 case studies at ~$0.31 per paper

Generated with AI, which can make mistakes.