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GPT-5.4 辅助药物化学项目

来源: twitter关注列表
作者: OpenAI (@OpenAI)
发布于: 2026-06-17
收录于: 2026-06-17
AI 推荐理由
首次展示前沿模型在药物合成中将反应产率提升超过两倍的实证数据。
核心解读
GPT-5.4 模型配合 Molecule.one 的 Maria AI 及专业实验室,将药物化学项目从文献综述推进至验证的实验结果,提出改进常用药物合成反应的意外方向。总耗时约 3 个月(模型驱动 2.5 个月+人工撰写 0.5 个月),Maria 在 10,080 种反应中筛选,优化条件使 88% 的硼酸和 83% 的磺酸产率提升;人工复现 14 种代表性反应中 11 产率升高,其中 8 种提升超过两倍。
全文
GPT-5.4 helped drive a medicinal chemistry project from literature review to a validated experimental result. Paired with http://Molecule.one’s Maria AI and specialized lab, the model proposed an unexpected way to improve a widely used reaction in drug discovery. https://t.co/KmyBlHLX8y https://video.twimg.com/amplify_video/2067290993360285696/vid/avc1/3840x2160/OwDIs_8KXd0GyzF1.mp4?tag=28 OpenAI (@OpenAI): The full process took about 2.5 months, plus another half month for human chemists to write up the results. This is an early example of frontier models supporting more of the scientific research loop: reviewing studies, proposing hypotheses, designing experiments, interpreting data, and surfacing findings that human experts can validate. OpenAI (@OpenAI): Maria tested the idea across 10,080 reactions, and human chemists later validated representative results by hand. Under the optimized conditions, yields improved for 88% of the boronic acids and 83% of the sulfonamides tested. Human chemists then repeated 14 representative reactions by hand: 11 showed higher yields, including 8 with a more than twofold improvement.
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