HomeTsinghua AIR and Shuimu Molecular Open-Source OpenBioMed, Redefining AI in Pharma
The Institute for Intelligent Industrial Research (AIR) at Tsinghua University, in collaboration with Shuimu Molecular, has launched and open-sourced OpenBioMed Skills—a suite of large language model plugins for biomedical research. This pioneering project translates expert biomedical decision-making processes into executable Agent Skill code and is publicly available on GitHub. The initial release features 45 core skills spanning five critical domains: biochemistry and drug development, protein analysis and design, single-cell omics analysis, and data retrieval tool integration. It aims to overcome engineering barriers across the entire biomedical R&D pipeline.
By deploying OpenBioMed Skills on its namesake open-source platform, researchers can directly access specialized multimodal models such as PharMolixFM, BioMedGPT-R1, and MutaPLM. Compared to general-purpose large language models like ChatGPT, this system shows marked advantages in comprehending domain-specific knowledge and executing pharmaceutical research logic. It also supports remote management of biomedical Agents via mobile applications including Feishu, DingTalk, and WeChat.
Nie Zaiqing, Chief Researcher at Tsinghua University and Chief Scientist at Shuimu Molecular, noted that this initiative represents a shift in drug development—from reliance on expert intuition toward intelligent, collaborative innovation. In the era of AI for Science, OpenBioMed Skills enables natural language to drive complex pharmaceutical workflows through systematic, coded processes. This provides robust infrastructure for advancing next-generation drug discovery paradigms.
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The Institute for Intelligent Industrial Research (AIR) at Tsinghua University, in collaboration with Shuimu Molecular, has launched and open-sourced OpenBioMed Skills—a suite of large language model plugins for biomedical research. This pioneering project translates expert biomedical decision-making processes into executable Agent Skill code and is publicly available on GitHub. The initial release features 45 core skills spanning five critical domains: biochemistry and drug development, protein analysis and design, single-cell omics analysis, and data retrieval tool integration. It aims to overcome engineering barriers across the entire biomedical R&D pipeline.
By deploying OpenBioMed Skills on its namesake open-source platform, researchers can directly access specialized multimodal models such as PharMolixFM, BioMedGPT-R1, and MutaPLM. Compared to general-purpose large language models like ChatGPT, this system shows marked advantages in comprehending domain-specific knowledge and executing pharmaceutical research logic. It also supports remote management of biomedical Agents via mobile applications including Feishu, DingTalk, and WeChat.
Nie Zaiqing, Chief Researcher at Tsinghua University and Chief Scientist at Shuimu Molecular, noted that this initiative represents a shift in drug development—from reliance on expert intuition toward intelligent, collaborative innovation. In the era of AI for Science, OpenBioMed Skills enables natural language to drive complex pharmaceutical workflows through systematic, coded processes. This provides robust infrastructure for advancing next-generation drug discovery paradigms.
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