HHalign-Kbest: exploring sub-optimal alignments for remote homology comparative modeling

Abstract

MOTIVATION The HHsearch algorithm, implementing a hidden Markov model (HMM)-HMM alignment method, has shown excellent alignment performance in the so-called twilight zone (target-template sequence identity with ∼20%). However, an optimal alignment by HHsearch may contain small to large errors, leading to poor structure prediction if these errors are located… (More)
DOI: 10.1093/bioinformatics/btv441

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Cite this paper

@article{Yu2015HHalignKbestES, title={HHalign-Kbest: exploring sub-optimal alignments for remote homology comparative modeling}, author={Jinchao Yu and G{\'e}raldine Picord and Pierre Tuff{\'e}ry and Rapha{\"e}l Gu{\'e}rois}, journal={Bioinformatics}, year={2015}, volume={31 23}, pages={3850-2} }