ODin (Orthology Data driven Interaction) Predictor: A Client‑Side Web Application for Unveiling Biological Connections Through Orthology from Alliance of Genome Resources

TL;DR

This paper introduces a web tool that predicts gene interactions using orthology data, helping researchers study biological systems and diseases more efficiently.

Contribution

A novel client-side web application for predicting gene interactions using orthology data from the Alliance of Genome Resources.

Findings

The tool expands known interactomes for underrepresented model organisms like zebrafish and Xenopus.

Client-side architecture ensures data privacy and fast results.

Integration with structural and biological context improves prediction reliability.

Abstract

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.

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