Enhancing SBOannotator with LLM Integration & Dynamic Term Retrieval

This proposal aims to transform SBOannotator from a static, hard-coded tool into a dynamic, intelligent system for annotating SBML models with Systems Biology Ontology terms.After initial discussions with mentor Nantia Leonidou, who provided valuable feedback on my approach, I've developed a comprehensive plan and initial implementation (PR #2 https://github.com/draeger-lab/SBOannotator/pull/2).

By implementing real-time SBO term retrieval, integrating multiple enzymatic data sources, and incorporating LLM-based annotation assistance, this project will significantly enhance both the accuracy and usability of SBOannotator while maintaining its core classification strengths. The addition of a standalone desktop GUI with interactive visualizations will make these powerful annotation capabilities accessible to a broader range of systems biology researchers.