A comparative assessment and analysis of 20 representative sequence alignment methods for protein structure

Renxiang Yan1, Dong Xu, Jianyi Yang

  • 1Department of Computational Medicine and Bioinformatics, University of Michigan, 100 Washtenaw Ave, Ann Arbor, MI 48109.

Scientific Reports
|September 11, 2013
PubMed
Summary

Profile-profile alignment methods significantly outperform sequence-based approaches for protein fold recognition. Incorporating structural features further enhances accuracy, but the fold-recognition problem remains unsolved.

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