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HelixFold-Multimer: Elevating Protein Complex Structure Prediction to New Heights
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While monomer protein structure prediction tools boast impressive accuracy, the prediction of protein complex structures remains a daunting challenge in the field. This challenge is particularly pronounced in scenarios involving complexes with protein chains from different species, such as antigen-antibody interactions, where accuracy often falls short. Limited by the accuracy of complex prediction, tasks based on precise protein-protein interaction analysis also face obstacles. In this report, we highlight the ongoing advancements of our protein complex structure prediction model, HelixFold-Multimer, underscoring its enhanced performance. HelixFold-Multimer provides precise predictions for diverse protein complex structures, especially in therapeutic protein interactions. Notably, HelixFold-Multimer achieves remarkable success in antigen-antibody and peptide-protein structure prediction, greatly surpassing AlphaFold 3. HelixFold-Multimer is now available for public use on the PaddleHelix platform, offering both a general version and an antigen-antibody version. Researchers can conveniently access and utilize this service for their development needs.
Forward citations
Cited by 2 Pith papers
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Reshaping Biomolecular Structure Prediction through Strategic Conformational Exploration with HelixFold-S1
Guided sampling using predicted inter-chain contacts achieves higher structural accuracy with an order of magnitude fewer samples than unguided sampling.
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HelixDesign-Antibody: A Scalable Production-Grade Platform for Antibody Design Built on HelixFold3
The paper describes a production antibody design platform built on HelixFold3 and reports that sampling more candidates improves top-ranked metrics, a claim that reduces to trivial sampling statistics.
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