arXiv 1509.034342015-09-11q-bio.BMq-bio.QM

Improving protein threading accuracy via combining local and global potential using TreeCRF model

Haicang Zhang, Mingfu Shao, Chao Wang, Jianwei Zhu, Wei-Mou Zheng, Dongbo Bu

英文摘要：

Protein structure prediction remains to be an open problem in bioinformatics. There are two main categories of methods for protein structure prediction: Free Modeling (FM) and Template Based Modeling (TBM). Protein threading, belonging to the category of template based modeling, identifies the most likely fold with the target by making a sequence-structure alignment between target protein and template protein. Though protein threading has been shown to more be successful for protein structure prediction, it performs poorly for remote homology detection.

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