A comprehensive comparison of multiple sequence alignment programs

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ID: 305607
1999
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Abstract
In recent years improvements to existing programs and the introduction of new iterative algorithms have changed the state-of-the-art in protein sequence alignment. This paper presents the first systematic study of the most commonly used alignment programs using BAliBASE benchmark alignments as test cases. Even below the 'twilight zone' at 10–20% residue identity, the best programs were capable of correctly aligning on average 47% of the residues. We show that iterative algorithms often offer improved alignment accuracy though at the expense of computation time. A notable exception was the effect of introducing a single divergent sequence into a set of closely related sequences, causing the iteration to diverge away from the best alignment. Global alignment programs generally performed better than local methods, except in the presence of large N/C-terminal extensions and internal insertions. In these cases, a local algorithm was more successful in identifying the most conserved motifs. This study enables us to propose appropriate alignment strategies, depending on the nature of a particular set of sequences. The employment of more than one program based on different alignment techniques should significantly improve the quality of automatic protein sequence alignment methods. The results also indicate guidelines for improvement of alignment algorithms.
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openalex_W2141411672 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Julie Thompson, Frédéric Plewniak, Olivier Poch
Journal Nucleic Acids Research
Year 1999
DOI
10.1093/nar/27.13.2682
URL
https://academic.oup.com/nar/article-pdf/27/13/2682/7043210/27-13-2682.pdf
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