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At the recent Qianfan Think Tank Life Sciences Forum, Baidu Smart Cloud launched the new biocomputing model tool HelixFold 3. This tool was co-developed by Baidu's PaddleHelix team and the CHPC High-Performance Computing Platform team, aiming to provide more accurate, efficient, and convenient solutions for life sciences research. The release of HelixFold 3 marks another technological breakthrough in the field of biocomputing. This model is particularly focused on RNA structure prediction and covalent modification.

Recently, a research achievement by a joint team from Sun Yat-sen University and Alibaba Cloud attracted widespread attention in the scientific community, published in the prestigious international journal 'Cell'. This groundbreaking study utilized advanced cloud computing and artificial intelligence technology to successfully discover over 160,000 entirely new RNA viruses, significantly expanding our understanding of the viral world. The deep learning algorithm developed by the research team, LucaProt, played a key role in this exploration. This powerful AI tool performed in-depth analysis on 10,487 RNA sequencing data sets worldwide.

Evo is a genomic foundation model capable of multi-modal and multi-scale learning. Evo can generate genomic-scale DNA sequences. Evo goes beyond single molecules and short sequences, allowing for the design of synthetic multi-component biological systems. Evo can predict essential genes in bacteria or phages at the whole genome scale.

Inceptive, founded by authors of the Transformer paper, aims to design mRNA molecules using AI. The team consists of pioneers in large models and complementary Stanford biology professors. The core strategy is to use machine learning to quickly design RNA sequences, shortening the drug development cycle. They have partnered with a major European pharmaceutical company to jointly develop new mRNA vaccines. Technological advancements are expected to reach a tipping point within three years, with RNA therapies being at the forefront.