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About this paper
Lihang Liu, Shanzhuo Zhang, Yang Xue, Xianbin Ye, Kunrui Zhu, Yuxin Li, Yang Liu, Jie Gao and 5 more
HelixFold3, developed by the PaddleHelix Team of Baidu Inc. in collaboration with Tecorigin Ltd and Tsinghua University, replicates AlphaFold3's capabilities for biomolecular structure prediction. The open-source model achieved comparable performance to AlphaFold3 across various biomolecule types, demonstrating competitive or superior precision in nucleic acid and antigen-antibody predictions.
Key insights
- Open-sourcing advanced biomolecular prediction tools is crucial for democratizing access and accelerating scientific discovery, especially in drug design and basic biological research.
- Comprehensive evaluation against established benchmarks across diverse biomolecules is essential to validate the performance of new models.
- The model's internal confidence scores (pLDDT, pAE, pTM) demonstrated a strong correlation with actual prediction accuracy, indicating reliable output quality.
Summary by alphaXiv.
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