Abstract
This article primarily discusses AlphaFold 3, an artificial intelligence system developed by Google DeepMind that can predict the 3D structure of proteins. It explains the working principles of AlphaFold 3, highlighting its use of deep learning techniques, including attention mechanisms, multiple sequence alignment, end-to-end prediction, and supervised machine learning. The article notes that, compared to previous versions, AlphaFold 3 possesses enhanced capabilities, enabling it to predict the structures of more complex protein complexes and even to model interactions among DNA, RNA, and ligands. These groundbreaking advancements are expected to have profound impacts on biology and medical research, accelerating drug development and enhancing the understanding of life sciences.
Source:
20241031 Newsletter #46: AlphaFold 3: AI that predicts protein, the structure of cell universe
上次我們討論蛋白質-生命的基石-對生命科學的研究以及醫學的重要性; 也了解了AlphaFold 是怎麼從原本的 AlphaGo 演變而來的。也可由今年的諾貝爾化學獎項頒發給 AlphaFold 與蛋白質的結構可知其重要性。因此，今天要來進一步了解的是AlphaFold 到底是怎麼運作的? 為何他可以有如此驚人的表現，2024年5月最新的一個版本 AlphaFold 3 又有什麼新的功能與進展呢?
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