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- W2950873526 abstract "Abstract Motivation Multiple sequence alignment programs have proved to be very useful and have already been evaluated in the literature yet not alignment programs based on structure or both sequence and structure. In the present article we wish to evaluate the added value provided through considering structures. Results We compared the multiple alignments resulting from 25 programs either based on sequence, structure or both, to reference alignments deposited in five databases (BALIBASE 2 and 3, HOMSTRAD, OXBENCH and SISYPHUS). On the whole, the structure-based methods compute more reliable alignments than the sequence-based ones, and even than the sequence+structure-based programs whatever the databases. Two programs lead, MAMMOTH and MATRAS, nevertheless the performances of MUSTANG, MATT, 3DCOMB, TCOFFEE+TM_ALIGN and TCOFFEE+SAP are better for some alignments. The advantage of structure-based methods increases at low levels of sequence identity, or for residues in regular secondary structures or buried ones. Concerning gap management, sequence-based programs set less gaps than structure-based programs. Concerning the databases, the alignments of the manually built databases are more challenging for the programs. Availability and implementation All data and results presented in this study are available at: http://wwwabi.snv.jussieu.fr/people/mathilde/download/AliMulComp/. Supplementary information Supplementary data are available at Bioinformatics online." @default.
- W2950873526 created "2019-06-27" @default.
- W2950873526 creator A5002896700 @default.
- W2950873526 creator A5033642937 @default.
- W2950873526 date "2019-04-03" @default.
- W2950873526 modified "2023-10-16" @default.
- W2950873526 title "Protein multiple alignments: sequence-based versus structure-based programs" @default.
- W2950873526 cites W1510161841 @default.
- W2950873526 cites W1519266993 @default.
- W2950873526 cites W1567621547 @default.
- W2950873526 cites W1590240800 @default.
- W2950873526 cites W1646393397 @default.
- W2950873526 cites W1694876563 @default.
- W2950873526 cites W1775447850 @default.
- W2950873526 cites W1843419150 @default.
- W2950873526 cites W1966679395 @default.
- W2950873526 cites W1967538863 @default.
- W2950873526 cites W1969153299 @default.
- W2950873526 cites W1984197379 @default.
- W2950873526 cites W1985408726 @default.
- W2950873526 cites W1986014242 @default.
- W2950873526 cites W1994840640 @default.
- W2950873526 cites W2004178884 @default.
- W2950873526 cites W2005750609 @default.
- W2950873526 cites W2010638919 @default.
- W2950873526 cites W2022058405 @default.
- W2950873526 cites W2031901496 @default.
- W2950873526 cites W2036295979 @default.
- W2950873526 cites W2036780345 @default.
- W2950873526 cites W2044881953 @default.
- W2950873526 cites W2050738924 @default.
- W2950873526 cites W2053281575 @default.
- W2950873526 cites W2056807348 @default.
- W2950873526 cites W2071411447 @default.
- W2950873526 cites W2075451741 @default.
- W2950873526 cites W2084367350 @default.
- W2950873526 cites W2085277871 @default.
- W2950873526 cites W2090748603 @default.
- W2950873526 cites W2092672051 @default.
- W2950873526 cites W2092691595 @default.
- W2950873526 cites W2095265465 @default.
- W2950873526 cites W2097270746 @default.
- W2950873526 cites W2097767833 @default.
- W2950873526 cites W2102015425 @default.
- W2950873526 cites W2102245393 @default.
- W2950873526 cites W2106882534 @default.
- W2950873526 cites W2108138353 @default.
- W2950873526 cites W2108921801 @default.
- W2950873526 cites W2109383908 @default.
- W2950873526 cites W2110241016 @default.
- W2950873526 cites W2111551123 @default.
- W2950873526 cites W2115451817 @default.
- W2950873526 cites W2118716355 @default.
- W2950873526 cites W2125728871 @default.
- W2950873526 cites W2125898812 @default.
- W2950873526 cites W2126016150 @default.
- W2950873526 cites W2126996906 @default.
- W2950873526 cites W2127122014 @default.
- W2950873526 cites W2127322768 @default.
- W2950873526 cites W2127688908 @default.
- W2950873526 cites W2127774996 @default.
- W2950873526 cites W2130060890 @default.
- W2950873526 cites W2134025725 @default.
- W2950873526 cites W2136570298 @default.
- W2950873526 cites W2137015675 @default.
- W2950873526 cites W2140872496 @default.
- W2950873526 cites W2141411672 @default.
- W2950873526 cites W2141920771 @default.
- W2950873526 cites W2142209403 @default.
- W2950873526 cites W2142513984 @default.
- W2950873526 cites W2143292980 @default.
- W2950873526 cites W2144362290 @default.
- W2950873526 cites W2144998676 @default.
- W2950873526 cites W2146087465 @default.
- W2950873526 cites W2149758239 @default.
- W2950873526 cites W2155320525 @default.
- W2950873526 cites W2157362913 @default.
- W2950873526 cites W2160378127 @default.
- W2950873526 cites W2161151688 @default.
- W2950873526 cites W2163860567 @default.
- W2950873526 cites W2165969670 @default.
- W2950873526 cites W2169150541 @default.
- W2950873526 cites W2169602699 @default.
- W2950873526 cites W2170831688 @default.
- W2950873526 cites W2211953232 @default.
- W2950873526 cites W2572546015 @default.
- W2950873526 cites W2767095293 @default.
- W2950873526 cites W2780263532 @default.
- W2950873526 cites W2898402099 @default.
- W2950873526 cites W3103560422 @default.
- W2950873526 cites W4241727697 @default.
- W2950873526 cites W4299995088 @default.
- W2950873526 doi "https://doi.org/10.1093/bioinformatics/btz236" @default.
- W2950873526 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30942864" @default.
- W2950873526 hasPublicationYear "2019" @default.
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