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A sequence-based hybrid predictor for identifying conformationally ambivalent regions in proteins

Yu-Cheng Liu1, Meng-Han Yang, Win-Li Lin

  • 1Institute of Biomedical Engineering, National Taiwan University, Taipei, Taiwan, Republic of China. f90548051@ntu.edu.tw

BMC Genomics
|December 5, 2009
PubMed
Summary

This study introduces a novel sequence-based predictor for identifying flexible protein regions. The hybrid predictor combines two supervised learning algorithms, outperforming existing methods and offering valuable insights for biologists.

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