Structure-derived substitution matrices for alignment of distantly related sequences
Sequence alignment is a standard method to infer evolutionary, structural, and functional relationships among sequences. The quality of alignments depends on the substitution matrix used. Here we derive matrices based on superimpositions from protein pairs of similar structure, but of low or no sequ...
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Published in | Protein engineering Vol. 13; no. 8; pp. 545 - 550 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
England
Oxford Publishing Limited (England)
01.08.2000
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Subjects | |
Online Access | Get full text |
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Summary: | Sequence alignment is a standard method to infer evolutionary, structural, and functional relationships among sequences. The quality of alignments depends on the substitution matrix used. Here we derive matrices based on superimpositions from protein pairs of similar structure, but of low or no sequence similarity. In a performance test the matrices are compared with 12 other previously published matrices. It is found that the structure-derived matrices are applicable for comparisons of distantly related sequences. We investigate the influence of evolutionary relationships of protein pairs on the alignment accuracy. |
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ISSN: | 0269-2139 1741-0126 1741-0134 |
DOI: | 10.1093/protein/13.8.545 |