36氪获悉，AI4S企业哲源科技近日完成亿元A1轮融资，由国科投资（中国科技产业投资管理有限公 司）领投，泽源基金、睿智医药跟投。 国内AI制药赛道历经起伏，当前正逐步回归理性。伴随着分子虚筛、自由能预测、抗体结构优化等 AIDD工具走向成熟，药物分子的设计难度正在下降，但首尾两端（靶点发现和临床试验）的挑战，尚 未因技术发展而产生本质改变。 成熟靶点的分子开发进入红海，新靶点的发现面临枯竭，药企在漫长的临床试验环节需要投入巨额经 费，但仍面临"九死一生"的失败风险。因此，借助AI技术，挖掘新机制、评估新靶点、提高临床试验效 率和成功率，成为当下产业界的重要关注点。 理解疾病，破解新药开发首尾困境 与众多聚焦于"AI+分子"的公司不同，哲源科技自身定位为"AI4S+疾病"公司，其打造的"计算医学"平 台，尝试以新范式赋能药物创新，特别是新机制新靶点发现、临床试验环节。 哲源科技创始人、CEO张春明认为，得益于行业多年的发展，如今设计出"合格且可专利"的分子，已不 是掣肘难题；当下药物创新最大挑战在于深层的疾病理解。 "药物研发的第一性原理应是治病，在立项之初，系统地理解疾病、确定靶点和疾病之间的因果关系， 以 ...

"药物研发的第一性原理应是治病。" 文 ｜ 海若镜 封面来源 ｜ Unsplash 36氪获悉， AI4S（AI For Science）企业 哲源科技近日完成亿元A1轮融资，由国科投资（中国科技产业投资管理有限公司）领投，泽源基金、睿智医药 跟投。 国内AI制药赛道历经起伏，当前正逐步回归理性。伴随着分子虚筛、自由能预测、抗体结构优化等AIDD工具走向成熟，药物分子的设计难度正在下降， 但首尾两端（靶点发现和临床试验）的挑战，尚未因技术发展而产生本质改变。 成熟靶点的分子开发进入红海，新靶点的发现面临枯竭，药企在漫长的临床试验环节需要投入巨额经费，但仍面临"九死一生"的失败风险。因此，借助AI 技术，挖掘新机制、评估新靶点、提高临床试验效率和成功率，成为当下产业界的重要关注点。 在与北京肿瘤医院合作的虚拟临床平行试验项目中，哲源科技利用其计算医学平台，对8位入组患者进行了药物响应的预测，其介绍称"就像是通过AI给患 者'算命'，预测用药结果（如疾病缓解程度等）。揭盲结果显示：AI预测的药物响应结果与真实临床试验结果完全一致"。 面对复杂疾病，利用AI手段预判药物在临床试验中的结果，就意味着，可以在药物正式开 ...

Core Insights - The Life Valley (International) Bioengineering Innovation Center has been launched, focusing on the integration of life sciences and future industry technologies, particularly in cell and gene therapy and AI healthcare [1][2] - The center aims to create a full lifecycle ecosystem from research and development to industrialization, leveraging top global research resources and industry chain enterprises [2] Group 1 - The launch event featured the signing of agreements by 15 companies from the biotech and innovative drug development sectors, marking the first batch of enterprises to join the innovation center [1] - A dual-driven model of "industry + capital" was established through fund signing ceremonies, providing financial support for the long-term development of the innovation center [1] - The "Innovation Zhuang Coffee" brand was introduced to create an open resource platform, promoting a collaborative innovation ecosystem [1] Group 2 - The center is positioned as a strategic hub for the transformation of cutting-edge technologies in life sciences, contributing to the construction of Beijing's international science and technology innovation center [2] - Experts at the subsequent seminar discussed topics such as AI's role in enhancing public hospital development, reshaping pharmaceutical research and development, and driving virtual clinical trials through computational medicine [2] - The event attracted participation from representatives of universities, research institutions, industry associations, financial institutions, and enterprises, highlighting the collaborative nature of the initiative [2]

Core Viewpoint - The seventh Pharmaceutical Frontier Academic Forum emphasizes the importance of original drug development and the role of artificial intelligence in accelerating the drug research and development process [1] Group 1: Forum Highlights - The forum, held in Nanjing, focuses on cutting-edge areas such as gene and cell therapy, advanced formulations and delivery technologies, and AI in new drug development [1] - Experts discuss the collaborative development path from source innovation to clinical transformation [1] Group 2: Key Statements - Chen Kaixian, the forum chairman and an academician of the Chinese Academy of Sciences, highlights that developing original new drugs is crucial for building new productive forces in biomedicine and achieving a strong technological nation in this field [1] - The use of artificial intelligence is noted as a key technology in drug research, with an example of an AI chemist at the University of Liverpool working 21.5 hours a day [1] - Future advancements are expected in automated molecular manufacturing, automated biological laboratories, and virtual clinical laboratories, leading to efficient and precise synthesis and continuous manufacturing of drug molecules [1]