After the release of AlphaFold 2, artificial intelligence research tools such as RoseTTAFold, OmegaFold, RGN2, ESMFold, etc. were successively introduced. What are the differences between these newly developed tools and AlphaFold2? Is there any substantial breakthrough behind each new tool? What is the direction of development for these AI tools in the future?

World Science magazine has planned a set of "special articles" in the 8th issue of 2024, focusing on showcasing the development of artificial intelligence tools in protein science. At the same time, senior experts in the industry have been invited to interpret this from the perspectives of "scientific development" and "social sciences". Among them, Professor Yaoqi Zhou, a senior researcher at Shenzhen Bay Laboratory, has long been committed to structural bioinformatics research, taking us to understand the innovation and value behind these new tools.

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