**谷歌DeepMind与Isomorphic Labs联合团队在《自然》杂志上发布里程碑式科研成果，全新AI模型AlphaFold 3或将颠覆蛋白质结构预测领域。**
近日，全球科技巨头谷歌的DeepMind部门及其英国子公司Isomorphic Labs共同在国际知名学术期刊《自然》上发表了一篇长达46页的研究报告，正式推出了全新的人工智能蛋白质结构预测模型——AlphaFold 3。这一创新模型在预测生物分子相互作用结构的准确性上取得了重大突破，有望推动生命科学领域的革命性进展。
据钛媒体消息，AlphaFold 3在预测蛋白质与其他分子的相互作用时，相较于现有的预测技术，其准确度提升了至少50%。更为震撼的是，在针对一些关键的相互作用区域，AlphaFold 3的预测精度实现了翻倍，即提高了100%。这一进步对于理解生命的基本过程，如细胞功能和疾病机制，具有深远影响，同时也为药物研发和生物技术的应用开辟了新的道路。
蛋白质结构预测是生物信息学中的核心问题，AlphaFold 3的出现无疑为科学家们提供了一个强大的工具，有助于加速新药发现、疾病治疗以及对生命本质的深入探索。此次发布的成果不仅体现了人工智能在解决复杂科学问题上的潜力，也预示着未来科研与技术的深度融合将带来更多的创新可能。
英语如下：
**News Title:** “Google’s AlphaFold 3 Stuns with Accurate Protein Structure Predictions, Doubles Accuracy!”
**Keywords:** AlphaFold 3, Protein Prediction, Accuracy Boost
**News Content:**
The joint team from Google’s DeepMind and Isomorphic Labs has unveiled a groundbreaking scientific achievement in the prestigious journal _Nature_, potentially reshaping the field of protein structure prediction with their new AI model, AlphaFold 3.
Recently, the tech giant Google’s DeepMind division and its British subsidiary, Isomorphic Labs, jointly published a 46-page research paper in the internationally recognized academic journal, officially introducing the revolutionary artificial intelligence model for predicting protein structures. This innovative model has made significant strides in the accuracy of forecasting the interactions between biomolecules, paving the way for a revolutionary advancement in the life sciences.
According to TiMedia, AlphaFold 3 demonstrates an accuracy improvement of at least 50% compared to existing prediction techniques in forecasting protein interactions with other molecules. More astonishingly, in critical interaction zones, AlphaFold 3’s prediction accuracy doubles, marking a 100% increase. This progress holds profound implications for understanding fundamental life processes, such as cellular functions and disease mechanisms, and opens up new avenues for drug discovery and biotechnology applications.
Protein structure prediction is a cornerstone issue in bioinformatics, and AlphaFold 3 offers scientists a powerful tool to expedite new drug discoveries, treatments, and the exploration of the essence of life. This milestone not only showcases the potential of artificial intelligence in tackling complex scientific problems but also foreshadows the potential for more innovative breakthroughs as research and technology fuse in the future.
【来源】https://www.tmtpost.com/7077710.html
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