Minicule

Minicule is an AI-powered research web application designed for life sciences researchers. It connects to major scientific databases like PubMed, OpenAlex, and USPTO, enabling users to build scientific knowledge graphs, explore dendrograms, and accelerate evidence verification. The platform helps transform complex research data into clear, actionable knowledge graphs, facilitating the visualization and acceleration of scientific discovery by mapping relationships between hypotheses, experiments, and findings.

## How to Use

Users can start building knowledge graphs by connecting to data from PubMed, OpenAlex, and USPTO. The platform allows researchers to visualize complex relationships in their data, map hypotheses, experiments, and findings, and collaborate with colleagues by sharing knowledge graphs. It offers custom workspaces for individual researchers and teams, and domain-specific visualization templates for biotech, genomics, and pharmaceutical research.

## Key Features

- AI-powered scientific knowledge graph creation - Connection to PubMed, OpenAlex, and USPTO - Visualization of complex research data relationships - Collaborative insights and sharing of knowledge graphs - Secure data handling with privacy controls - Quantifiable results visualization - Team-based workflows and custom workspaces - Specialized templates for life sciences (biotech, genomics, pharma) - Advanced knowledge graph features - Unlimited publication search - Private mode for projects - Team sharing & collaboration - Custom deployment options (Enterprise) - Bring Your Own LLM Keys (Enterprise) - Run Privately with Docker Deployment (Enterprise) - Run Unlimited AI agents for IP and R&D (Enterprise)

## Use Cases

- Accelerating scientific discovery by visualizing complex relationships in research data. - Mapping complex relationships between research data points to identify patterns and correlations. - Sharing knowledge graphs with colleagues and collaborators for multi-institution research. - Visualizing experimental outcomes alongside hypotheses to understand efficacy. - Connecting gene expression data with clinical outcomes in genomics research. - Exploring specific research topics like Axolotl Longevity, Pääbo Literature Analysis, AAV Gene Therapy Vectors in Neurological Diseases, Rifaximin and Neuroinflammation in ALS, Biomarkers for Immunotherapy Response, and Parkinson’s Disease Therapeutic Innovations.