WenJun Zhang School of Life Sciences, Sun Yat-sen University, Guangzhou, China Network Biology ISSN 2220-8879 http://www.iaees.org/publications/journals/nb/online-version.asp 2026 16 2 49 81 International Academy of Ecology and Environmental Sciences Hong Kong 6 December 2025 18 December 2025 1 June 2026 Artificial Intelligence (AI) biological trait genes, pathways web-based tool The AI-Powered biological trait analysis platform, TraitGenePathAna, is a single-page web application that helps a user explore the biology behind a trait (e.g., longevity, disease resistance) for a chosen species (e.g., Homo sapiens, Drosophila melanogaster). It does this by sending a structured prompt to an LLM provider (DeepSeek or Google Gemini, etc.) and then presenting the model's response in a multi-tab results UI: (1) Overview: summary, significance, broad context; (2) Genetics: key genes, loci, heritability and gene-level discussion; (3) Pathways: molecular mechanisms, signaling cascades, network view; (4) Interventions: potential strategies and caveats (research, ethics, feasibility). In addition, the platform can conduct inferences on hidden rules, patterns, and relationships. http://www.iaees.org/publications/journals/nb/articles/2026-16(2)/TraitGenePathAna.pdf