Viral Diseases Explorer: a webtool to identify viral disease information derived from multiple LLMs

Research output: Contribution to journalArticlepeer-review

Abstract

Motivation: With nearly 266,500 viruses cataloged currently at NCBI and increasing by the day, identifying the diseases they cause, and the affected hosts remains challenging. Hence the motivation for undertaking this study. Results: Utilizing the AI-powered tools, we obtained disease information for 165 363 viruses, identifying 2833 unique diseases affecting 5503 distinct hosts and designated consensus diseases confirmed by three LLMs. Using this information, we developed the Viral Diseases Explorer webtool that enables the searches of diseases linked to specific viruses, viruses causing particular diseases, and viruses infecting specific hosts. Availability and implementation: Viral Diseases Explorer tool can be accessed from the URL: https://virus-world.org/viral_diseases_explorer.php

Original languageEnglish (US)
Article numberbtaf613
JournalBioinformatics
Volume41
Issue number11
DOIs
StatePublished - Nov 1 2025

Bibliographical note

Publisher Copyright:
© The Author(s) 2025. Published by Oxford University Press.

PubMed: MeSH publication types

  • Journal Article

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