Detection of circular permutations by Protein Language Models

Code

• github.com/yuehulab/plmcp
  OfficialIn paperpytorch★ 2

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.

Tasks

Reproductions