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X @The Economist
The Economist· 2025-10-11 12:20
Biological life depends on two families of large molecule: nucleic acids and proteins. The first of our collection of primers explains what they are and how they work https://t.co/mPBhBsBKLS ...
Alphabet's Isomorphic Labs: Turning Cancer Into a Chronic, But Livable Disease
Bloomberg Technology· 2025-09-14 06:00
AI驱动的药物发现引擎 - Isomorphic Labs 正在构建一个药物设计引擎,旨在为不同疾病领域和适应症设计新的分子,甚至适用于不同的药物形式[2] - 该引擎由一系列AI模型驱动,需要大约六个类似AlphaFold的突破性技术共同作用[3] - 这些模型包括预测蛋白质结构、分子结合强度以及药物安全性和吸收性的能力[3][6] 传统药物发现的变革 - 传统药物设计是迭代的,耗时且成本高昂,而Isomorphic Labs 正在将这一过程转移到虚拟世界,在计算机上进行设计和测试,从而缩短时间并提高效率[8][9][10] - 通过在计算机上进行多次迭代,选择最佳结果进行实验室测试,从而跳过步骤,更快地获得更好的结果[10] 模型能力与挑战 - AlphaFold 已经解决了蛋白质折叠问题,但仍需要提高模型的准确性,并理解分子如何与身体的不同部分相互作用[11][12][13] - 分子空间巨大(约10的60次方),需要生成模型和搜索过程来有效地搜索整个空间,从而减少需要实验室测试的分子数量[15][16] 数据策略与质量 - 机器学习依赖于高质量的数据,Isomorphic Labs 拥有全面的数据战略,利用公共数据、历史数据以及专门为机器学习模型创建的湿实验室数据[24][25] - 公司在理解、摄取、清理数据以及从中提取信号方面投入了大量精力[26] 通用性与可重用性 - Isomorphic Labs 专注于构建通用的技术,可以应用于任何靶点、任何疾病领域,甚至任何不同的药物形式[27][28] - 通用模型更具挑战性,但可以创造针对长期未解决的问题的全新化学物质[30][31] 疾病领域重点 - 公司专注于免疫学和肿瘤学,因为这些领域的临床试验更易于处理,可以在更短的时间内完成,并且对患者的影响很大[33][34] - 目标是将癌症转变为一种慢性疾病,患者可以通过药物治疗获得正常的寿命,这可能在几年内实现[36][37] 模型能力与应用 - 这些模型可以应用于整个人类蛋白质组,并且由于神经网络模型运行速度快,可以并行分析数千个蛋白质[39] - 这改变了实验设计,因为在实验世界中,一次只能研究一个蛋白质[40] 合作与里程碑 - 与诺华和礼来等公司的合作非常密切,在一些具有挑战性的靶点上取得了良好的进展[44] - 在某些情况下,已经识别出与以前未知的蛋白质结合的首批化学物质[45] 未来展望 - 目标是在2-3年内将AI药物发现过程缩短至几个月,关键在于提高计算机实验结果的预测准确性[47][48][49] - 展望未来,AI工具可以帮助诊断疾病,并提供相应的药物治疗,从而对人类健康和疾病产生重大影响[50][51]
X @The Economist
The Economist· 2025-07-11 16:01
Scientific Discovery - Newly discovered proteins offer potential for paleontological research into animal behavior, diet, and evolution [1] - Molecular tools can now be applied to study animals previously considered too old for such analysis [1]
X @The Economist
The Economist· 2025-07-11 03:40
Scientific Discovery - Palaeontology may experience a game changer due to potential discovery of even older proteins [1] Industry Impact - The discovery of older proteins could have tantalising hints for scientists [1]
X @The Economist
The Economist· 2025-07-10 22:20
Until recently the oldest proteins recovered for reliable, in-depth analysis were around 4m years old. But now, two separate studies have discovered ancient ones some of which could be as old as 29m years https://t.co/9Smb5IZ3Be ...
X @The Economist
The Economist· 2025-07-10 15:40
Scientific Discovery - New discoveries expand the timeline of proteins available for analysis ten-fold compared to DNA [1] - Palaeontologists can now understand organisms that are too old for other ancient molecular analysis [1]
From Molecules to Boardrooms: How Alphafold redefines Business | Dr. Ralf Belusa | TEDxKLU Hamburg
TEDx Talks· 2025-07-10 15:37
AlphaFold's Impact on Science and Industry - AlphaFold identified over 240 million protein structures in approximately two years, a thousandfold increase compared to the 210 thousand structures discovered in the previous 100 years [2][3] - AlphaFold, an AI system, won the Nobel Prize in Chemistry in 2024, signifying the increasing recognition of AI in scientific advancements [4][5] - AlphaFold accelerates drug discovery, disease understanding, and vaccine development by predicting protein structures in 3D [6][7] - AlphaFold's capabilities are expanding to include DNA, RNA, and small molecules, demonstrating AI's growing influence in diverse scientific fields [7] Implications for Corporate Leadership and Strategy - The business world is characterized as "Barney" (brittle, anxious, nonlinear, and incomprehensible), requiring companies to adapt to rapid changes and disruptions [8][9] - AI managers face the dilemma of balancing emerging technologies, internal operations, and evolving market dynamics [10][11] - Companies need to shift from outdated quantitative management to visionary foresight, emphasizing learning and proactive action [12] - Businesses should explore how AlphaFold-like technologies can be applied beyond medicine and biology, such as in polymers, adhesives, and new materials [13][14] - New physics simulation trains 430 thousand times faster than reality [19] - Route optimization tools like Nvidia Cosmos can significantly improve logistics and shipping efficiency [20] Call to Action for Boardrooms and Executives - Boardrooms and executives must embrace and experiment with new technologies to envision the future and make informed decisions [23] - Leaders need to transition from traditional management approaches to visionary foresight to stay ahead of competitors [24] - The advancements enabled by AlphaFold represent a groundbreaking era for society, environment, technology, and business [26]