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Kahsay RY, Wang G, Gao G, Liao L, Dunbrack R
Quasi-consensus-based comparison of profile hidden Markov models for protein sequences
Bioinformatics (2005) 21:2287-2293.
A simple approach for the sensitive detection of distant relationships among protein families and for sequence-structure alignment via comparison of hidden Markov models based on their quasi-consensus sequences is presented. Using a previously published benchmark dataset, the approach is demonstrated to give better homology detection and yield alignments with improved accuracy in comparison to an existing state-of-the-art dynamic programming profile-profile comparison method. This method also runs significantly faster and is therefore suitable for a server covering the rapidly increasing structure database. A server based on this method is available at © The Author 2005. Published by Oxford University Press. All rights reserved.
Publication Date: 2005-01-01.
Last updated on Saturday, August 22, 2020