Detection of circular permutations by Protein Language Models
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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Computational EfficiencyLanguage ModelingLanguage ModellingProtein Language ModelMethods 이 논문이 사용한 방법론
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