Haitong Securities International·2025-06-30 14:50Investment Rating - The report does not explicitly provide an investment rating for the industry or specific companies involved in the AlphaGenome technology. Core Insights - The release of AlphaGenome by Google DeepMind represents a significant advancement in AI-driven genome decoding, achieving high-precision, multi-dimensional functional predictions of DNA sequences [5][15] - AlphaGenome can predict the functional status of genomic regions from sequences of one million DNA base pairs, covering various biological features such as gene expression, splicing, and chromatin state [12][15] - The model outperforms existing models in 24 out of 26 regulatory variant effect prediction tasks, demonstrating its superior accuracy and adaptability to different tissue types [3][13] Summary by Sections Event Description - On June 26, 2025, Google DeepMind announced AlphaGenome, a deep learning model capable of predicting gene functionality from extensive DNA sequences [12][15] Model Capabilities - AlphaGenome can predict 11 functional modalities, including gene expression, splicing, and chromatin accessibility, across one million base pairs [3][13] - It integrates variant scanning and mechanistic interpretation, allowing for the analysis of how specific mutations affect gene regulation [4][14] Technical Implementation - The model employs a U-Net inspired architecture, combining convolutional layers with Transformer blocks, and is trained on Google's TPU infrastructure [4][14] - It operates efficiently, with predictions for individual variants taking less than one second, making it suitable for large-scale applications [4][14] Impact on Genomic Research - The introduction of AlphaGenome sets a new benchmark for integrated genomic interpretation, providing unprecedented tools for understanding non-coding variation [5][15] - The model's open-source nature facilitates its use in research and clinical settings, promoting broader applications in genomics [4][14]