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.
@article{arxiv.2507.02345,
title = {HelixDesign-Antibody: A Scalable Production-Grade Platform for Antibody Design Built on HelixFold3},
author = {Jie Gao and Jing Hu and Shanzhuo Zhang and Kunrui Zhu and Sheng Qian and Yueyang Huang and Xiaonan Zhang and Xiaomin Fang},
journal= {arXiv preprint arXiv:2507.02345},
year = {2025}
}