近年来，人工智能技术的飞速发展为生物学研究注入了前所未有的活力，“AI + 生物” 的跨界融合已成为生命科学领域的研究热点与重要发展方向。其中，AlphaFold 作为 AI 与结构生物学结合的标志性成果，其问世与迭代升级不仅彻底改变了蛋白质结构预测的传统模式，更推动生命科学研究从 “预测结构” 向 “设计功能分子” 迈进，开启了生命科学研究的新纪元。

The AI tool AlphaFold has been improved so that it can now predict the shape of very large and complex protein structures. Linköping University researchers have also succeeded in integrating ...

(L) Senior co-corresponding author M. Madan Babu, PhD, FRS, St. Jude Senior Vice President of Data Science, Chief Data Scientist, Center of Excellence for Data-Driven Discovery director and Department ...

AlphaFold, a transformative AI-driven tool developed by DeepMind, has revolutionized the field of structural biology by accurately predicting protein structures. This breakthrough holds significant ...

AlphaFold arrived as a technical moonshot that suddenly made protein structures feel like software rather than secrets of ...

The intrinsically disordered proteins (IDPs) do not attain a stable secondary or tertiary structure and rapidly change their conformation, making structure prediction particularly challenging. These ...

The DeepMind researchers Demis Hassabis and John Jumper won a share of the Nobel Prize in chemistry. The pair were recognized for their work on protein-structure prediction. In 2020, DeepMind ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More A trio of scientists consisting of Demis Hassabis, co-founder and CEO of ...

“Public data is hitting its limit. The real breakthroughs can only happen through increased amounts of data and of course, tapping into industrial data,” so says Robin Roehm, CEO and co-founder of ...

The 2024 Nobel Prize in chemistry has been awarded to a trio of scientists who used artificial intelligence to “crack the code” of almost all known proteins, the “chemical tools of life.” The Nobel ...