ODin (Orthology Data driven Interaction) Predictor: A Client‑Side Web Application for Unveiling Biological...

Deciphering the complex landscape of gene interactions is essential for understanding biological systems and unraveling the mechanisms underlying disease. While experimental approaches to mapping these interactions are often labor-intensive and costly, computational strategies-particularly those that exploit evolutionary conservation through orthology-provide a powerful and scalable alternative. We present a novel client-side web application that infers gene interactions by leveraging comprehensive orthology and experimentally validated protein-protein or genetic interactions from the Alliance of Genome Resources. This tool substantially broadens known interactomes, especially for underrepresented model organisms such as zebrafish and Xenopus with less studied interactions. Its client-side architecture ensures exceptional data privacy and instantaneous results, setting it apart from conventional server-based platforms. By integrating these predictions with structural evidence and biological context, researchers may gain more reliable biological insights, helping to support more efficient and precisely targeted scientific discovery.