Self-evolving AI agents for protein discovery and directed evolution
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arXiv
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| Hauptverfasser: | , , , , , , , |
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| Format: | Preprint |
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2026
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| _version_ | 1866912986684194816 |
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| author | Tan, Yang Zhang, Lingrong Li, Mingchen Yu, Yuanxi Zhong, Bozitao Zhou, Bingxin Dong, Nanqing Hong, Liang |
| author_facet | Tan, Yang Zhang, Lingrong Li, Mingchen Yu, Yuanxi Zhong, Bozitao Zhou, Bingxin Dong, Nanqing Hong, Liang |
| contents | Protein scientific discovery is bottlenecked by the manual orchestration of information and algorithms, while general agents are insufficient in complex domain projects. VenusFactory2 provides an autonomous framework that shifts from static tool usage to dynamic workflow synthesis via a self-evolving multi-agent infrastructure to address protein-related demands. It outperforms a set of well-known agents on the VenusAgentEval benchmark, and autonomously organizes the discovery and optimization of proteins from a single natural language prompt. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_27303 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Self-evolving AI agents for protein discovery and directed evolution Tan, Yang Zhang, Lingrong Li, Mingchen Yu, Yuanxi Zhong, Bozitao Zhou, Bingxin Dong, Nanqing Hong, Liang Artificial Intelligence Computation and Language Quantitative Methods Protein scientific discovery is bottlenecked by the manual orchestration of information and algorithms, while general agents are insufficient in complex domain projects. VenusFactory2 provides an autonomous framework that shifts from static tool usage to dynamic workflow synthesis via a self-evolving multi-agent infrastructure to address protein-related demands. It outperforms a set of well-known agents on the VenusAgentEval benchmark, and autonomously organizes the discovery and optimization of proteins from a single natural language prompt. |
| title | Self-evolving AI agents for protein discovery and directed evolution |
| topic | Artificial Intelligence Computation and Language Quantitative Methods |
| url | https://arxiv.org/abs/2603.27303 |