Improving protein threading accuracy via combining local and global potential using TreeCRF model
Biomolecules
2015-09-14 v1 Quantitative Methods
Abstract
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.
Cite
@article{arxiv.1509.03434,
title = {Improving protein threading accuracy via combining local and global potential using TreeCRF model},
author = {Haicang Zhang and Mingfu Shao and Chao Wang and Jianwei Zhu and Wei-Mou Zheng and Dongbo Bu},
journal= {arXiv preprint arXiv:1509.03434},
year = {2015}
}