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Cited by 814

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MAFFT-DASH: integrated protein sequence and structural alignment

Open access
Rozewicki, John, Li, Songling, Amada, Karlou Mar, Standley, Daron M, Katoh, Kazutaka·2019·Nucleic Acids Research

Abstract

Here, we describe a web server that integrates structural alignments with the MAFFT multiple sequence alignment (MSA) tool. For this purpose, we have prepared a web-based Database of Aligned Structural Homologs (DASH), which provides structural alignments at the domain and chain levels for all proteins in the Protein Data Bank (PDB), and can be queried interactively or by a simple REST-like API. MAFFT-DASH integration can be invoked with a single flag on either the web (https://mafft.cbrc.jp/alignment/server/) or command-line versions of MAFFT. In our benchmarks using 878 cases from the BAliBase, HomFam, OXFam, Mattbench and SISYPHUS datasets, MAFFT-DASH showed 10-20% improvement over standard MAFFT for MSA problems with weak similarity, in terms of Sum-of-Pairs (SP), a measure of how well a program succeeds at aligning input sequences in comparison to a reference alignment. When MAFFT alignments were supplemented with homologous sequences, further improvement was observed. Potential applications of DASH beyond MSA enrichment include functional annotation through detection of remote homology and assembly of template libraries for homology modeling.

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Metadata

Authors
Rozewicki, J., Li, S., Amada, K. M., Standley, D. M., & Katoh, K.
Venue
Nucleic Acids Research
Published
2019-05-07
Volume
47
Issue
W1
Pages
W5-W10
ISSN
  • 0305-1048 (ISSN-L)
  • 1362-4962
OpenAlex
W2944021648
Cited by
814
References
6
FWCI
20.05
Type
journal article
Language
en
Open access
gold

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