HelixFold-Multimer: Elevating Protein Complex Structure Prediction to New Heights

• URL: http://arxiv.org/abs/2404.10260v2
• Date: Fri, 17 May 2024 11:47:10 GMT
• Title: HelixFold-Multimer: Elevating Protein Complex Structure Prediction to New Heights
• Authors: Xiaomin Fang, Jie Gao, Jing Hu, Lihang Liu, Yang Xue, Xiaonan Zhang, Kunrui Zhu,
• Abstract summary: We highlight the ongoing advancements of our protein complex structure prediction model, HelixFold-Multimer. HelixFold-Multimer provides precise predictions for diverse protein complex structures, especially in therapeutic protein interactions. HelixFold-Multimer is now available for public use on the PaddleHelix platform, offering both a general version and an antigen-antibody version.
• Score: 7.702856943171886
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: 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.

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