Mechanistic Map Generator (MMG) for Unsolved Pathways™is an AI-powered toolkit designed to assist life science researchers in uncovering hidden or speculative links in biological pathways. These missing links are often critical to understanding disease mechanisms, cell signaling crosstalk, or the full flow of regulatory networks, but are difficult to identify due to gaps in the literature or experimental limitations. This toolkit provides 15 expert-crafted prompt templates for use with ChatGPT or any other large language model (LLM). Each prompt is structured to help researchers generate novel hypotheses about unknown intermediates, non-canonical steps, feedback loops, or signaling branches that might explain observed phenomena in their experimental system. Why is this important? Traditional research workflows depend heavily on prior knowledge and published data. However, many biological pathways remain only partially mapped. Using MMG, researchers can leverage AI to fill those gaps creatively and logically—acting as a brainstorming partner trained on vast biological knowledge. How do these prompts help?
Each template guides the AI to generate mechanistically plausible suggestions for unknown pathway steps, based on context-specific placeholders (e.g., disease, gene, signaling component).