HelixDesign-Antibody: A Scalable Production-Grade Platform for Antibody Design Built on HelixFold3
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arXiv
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| Auteurs principaux: | , , , , , , , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866911036299280384 |
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| author | Gao, Jie Hu, Jing Zhang, Shanzhuo Zhu, Kunrui Qian, Sheng Huang, Yueyang Zhang, Xiaonan Fang, Xiaomin |
| author_facet | Gao, Jie Hu, Jing Zhang, Shanzhuo Zhu, Kunrui Qian, Sheng Huang, Yueyang Zhang, Xiaonan Fang, Xiaomin |
| contents | Antibody engineering is essential for developing therapeutics and advancing biomedical research. Traditional discovery methods often rely on time-consuming and resource-intensive experimental screening. To enhance and streamline this process, we introduce a production-grade, high-throughput platform built on HelixFold3, HelixDesign-Antibody, which utilizes the high-accuracy structure prediction model, HelixFold3. The platform facilitates the large-scale generation of antibody candidate sequences and evaluates their interaction with antigens. Integrated high-performance computing (HPC) support enables high-throughput screening, addressing challenges such as fragmented toolchains and high computational demands. Validation on multiple antigens showcases the platform's ability to generate diverse and high-quality antibodies, confirming a scaling law where exploring larger sequence spaces increases the likelihood of identifying optimal binders. This platform provides a seamless, accessible solution for large-scale antibody design and is available via the antibody design page of PaddleHelix platform. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_02345 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | HelixDesign-Antibody: A Scalable Production-Grade Platform for Antibody Design Built on HelixFold3 Gao, Jie Hu, Jing Zhang, Shanzhuo Zhu, Kunrui Qian, Sheng Huang, Yueyang Zhang, Xiaonan Fang, Xiaomin Biomolecules Artificial Intelligence Antibody engineering is essential for developing therapeutics and advancing biomedical research. Traditional discovery methods often rely on time-consuming and resource-intensive experimental screening. To enhance and streamline this process, we introduce a production-grade, high-throughput platform built on HelixFold3, HelixDesign-Antibody, which utilizes the high-accuracy structure prediction model, HelixFold3. The platform facilitates the large-scale generation of antibody candidate sequences and evaluates their interaction with antigens. Integrated high-performance computing (HPC) support enables high-throughput screening, addressing challenges such as fragmented toolchains and high computational demands. Validation on multiple antigens showcases the platform's ability to generate diverse and high-quality antibodies, confirming a scaling law where exploring larger sequence spaces increases the likelihood of identifying optimal binders. This platform provides a seamless, accessible solution for large-scale antibody design and is available via the antibody design page of PaddleHelix platform. |
| title | HelixDesign-Antibody: A Scalable Production-Grade Platform for Antibody Design Built on HelixFold3 |
| topic | Biomolecules Artificial Intelligence |
| url | https://arxiv.org/abs/2507.02345 |