2012
DOI: 10.1093/bioinformatics/bts103
|View full text |Cite
|
Sign up to set email alerts
|

Evolutionary inaccuracy of pairwise structural alignments

Abstract: Motivation: Structural alignment methods are widely used to generate gold standard alignments for improving multiple sequence alignments and transferring functional annotations, as well as for assigning structural distances between proteins. However, the correctness of the alignments generated by these methods is difficult to assess objectively since little is known about the exact evolutionary history of most proteins. Since homology is an equivalence relation, an upper bound on alignment quality can be found… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
2

Citation Types

2
17
0

Year Published

2013
2013
2019
2019

Publication Types

Select...
4
2

Relationship

0
6

Authors

Journals

citations
Cited by 15 publications
(19 citation statements)
references
References 47 publications
2
17
0
Order By: Relevance
“…Additionally, the alignment algorithms report different scores as measures of similarity. To circumvent these limitations, structural similarity was assessed using a generic metric-fTM score (24). Significant correlation was observed between the fTM score and RMSD for both datasets (SI Appendix, Fig.…”
Section: Resultsmentioning
confidence: 99%
“…Additionally, the alignment algorithms report different scores as measures of similarity. To circumvent these limitations, structural similarity was assessed using a generic metric-fTM score (24). Significant correlation was observed between the fTM score and RMSD for both datasets (SI Appendix, Fig.…”
Section: Resultsmentioning
confidence: 99%
“…The objective comparative evaluation of protein structure aligner performance is problematic due to the lack of standardized geometric methods, and accuracy is often assessed relative to manually curated sequence alignments . The underlying difficulty stems from the functional dependence of the RMSD on the number of aligned residue positions considered.…”
Section: Resultsmentioning
confidence: 99%
“…Proposed methods differ widely in terms of the dimensionality used to represent the protein residue string, the scoring (objective) function for structural similarity, and the heuristic algorithm used to optimise the objective function. Recent studies of comparative performance highlight a continued need to improve the geometric quality and consistency of computed structural alignments. The principal difficulties concern the accommodation of natural structural variation and plasticity in protein alignment, complicated by a need for fully concordant measures of structural similarity.…”
Section: Introductionmentioning
confidence: 99%
See 2 more Smart Citations