LucaProt is a deep learning algorithm capable of processing extensive genetic sequences, identifying RNA virus species in just one second.

A groundbreaking study published in the journal Cell focuses on RNA viruses, which include significant human pathogens like SARS-CoV-2 and influenza.

Researchers from mainland China, Hong Kong, and Australia utilized an artificial intelligence tool named LucaProt to discover nearly 162,000 previously unknown RNA virus species, marking the largest single virus discovery in history.

Despite the vast number of viruses that infect various organisms, only a small percentage have been identified, indicating a 'bottomless pit' of potential discoveries.

Understanding the interactions between viruses, humans, and their environments is crucial for advancing medical knowledge and public health.

This AI tool not only accelerated the discovery process but also organized and categorized genetic information, shedding light on previously obscure viral sequences.

The findings suggest that millions more viruses remain to be discovered, emphasizing the resilience and adaptability of RNA viruses.

The study highlights the previously unrecognized biodiversity of RNA viruses found in extreme environments, such as the atmosphere and hydrothermal vents, indicating a rich evolutionary history.

Co-author Dr. Zhao-Rong Li noted the effective integration of AI technology in virology, which enhances the exploration of viral diversity.

Professor Mang Shi emphasized the AI model's exceptional sensitivity and specificity, allowing for a more effective exploration of viral diversity compared to traditional bioinformatics approaches.

The algorithm was tested on a diverse dataset, revealing substantial variations in virus presence across different ecological systems.

The research received support from multiple funding sources, including the National Natural Science Foundation of China, highlighting its significance in the field of virology.