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arXiv · 2404.15087

Detection of circular permutations by Protein Language Models

Yue Hu·Bin Huang·Chunzi Zang
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Abstract

Protein circular permutations are crucial for understanding protein evolution and functionality. Traditional detection methods, sequence-based or structure-based, struggle with accuracy and computational efficiency, the latter also limited by treating proteins as rigid bodies. The plmCP method, utilizing a protein language model, not only speeds up the detection process but also enhances the accuracy of identifying circular permutations, contributing significantly to protein research and engineering by acknowledging structural flexibility.

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Yue Hu, Bin Huang, Chunzi Zang. 2024-08-06. Detection of circular permutations by Protein Language Models. https://arxiv.org/abs/2404.15087

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