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|volume=11
| issue=11
|pages=
|doi=10.1110/ps.0215902
| pmc= 2373724
|doi-access=free
}}</ref> approaches the alignment problem from a different objective than almost all other methods. Rather than trying to find an alignment that maximally superimposes the largest number of residues, it seeks the subset of the structural alignment least likely to occur by chance. To do this it marks a local motif alignment with flags to indicate which residues simultaneously satisfy more stringent criteria: 1) Local structure overlap 2) regular secondary structure 3) 3D-superposition 4) same ordering in primary sequence. It converts the statistics of the number of residues with high-confidence matches and the size of the protein to compute an Expectation value for the outcome by chance. It excels at matching remote homologs, particularly structures generated by ab initio structure prediction to structure families such as SCOP, because it emphasizes extracting a statistically reliable sub alignment and not in achieving the maximal sequence alignment or maximal 3D superposition.<ref name="Malmstrom"></ref><ref name="robetta">{{cite journal
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|title=Protein structure prediction and analysis using the Robetta server
|authors=David E. Kim, Dylan Chivian, and David Baker
|issue= Web Server issue
|pages= W526–W531
|pmc= 441606
|doi-access= free
}}</ref>
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|pages=2559–2565
|doi=10.1093/bioinformatics/btp474
|pmid=19667079
|doi-access=free
}}</ref>It is often used in conjunction with these slower tools to pre-screen large data bases to extract the just the best E-value related structures for more exhaustive superposition or expensive calculations.
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|issue= 197
| doi=10.1186/1471-2105-5-197
|
|title=SCOPmap: Automated assignment of protein structures to evolutionary superfamilies
|authors=Sara Cheek, Yuan Qi, Sri Krishna, Lisa N Kinch, and Nick V Grishin
|page= 197
|pmc= 544345
|doi-access=free
}}</ref>
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|authors=Kai Wang, Ram Samudrala
|journal=Bioinformatics
|year=2005
|volume=21
|issue=13
|pages=2969–2977
|doi=10.1093/bioinformatics/bti471
|pmid=15860561
|doi-access=free
}}</ref>
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|year= 2016
|volume=84
|pages=(Suppl 1):15-19
| doi=10.1002/prot.25005
|pmid=26857434
|pmc=5479680
|doi-access=free
}}</ref><ref name="Malmstrom"></ref><ref name="robetta"></ref> These decoys are notorious for getting local fragment motif structure correct, and forming some kernels of correct 3D tertiary structure but getting the full length tertiary structure wrong. In this twilight remote homology regime, Mammoth's e-values for the CASP<ref name="casp11"></ref> protein structure prediction evaluation have been show to be significantly more correlated with human ranking than SSAP or DALI.<ref name=Mammoth></ref> Mammoths ability to extract the multi-criteria partial overlaps with proteins of known structure and rank these with proper E-values, combined with its speed facilitates scanning vast numbers of decoy models against the PDB data base for identifying the most likely correct decoys based on their remote homology to known proteins.
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| authors=Lars Malmström Michael Riffle, Charlie EM Strauss, Dylan Chivian, Trisha N Davis, Richard Bonneau, David Baker
|year=2007
|journal=
| volume=5
|issue=4
|pages= e76corresponding author1,2
|doi=10.1371/journal.pbio.0050076
| pmid=17373854
| pmc=1828141
|doi-access=free
}}</ref>
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<ref name="cech">{{cite journal|vauthors=Cech P, Svozil D, Hoksza D |year=2012|title= SETTER: web server for RNA structure comparison|journal=Nucleic Acids Research|volume= 40|issue=W1|pages=W42–W48|doi=10.1093/nar/gks560|pmid=22693209|pmc=3394248}}</ref>
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<ref name="havgaard">{{cite journal|vauthors=Havgaard JH, Lyngso RB, Stormo GD, Gorodkin J |year=2005|title= Pairwise local structural alignment of RNA sequences with sequence similarity less than 40%|journal=Bioinformatics|volume= 21|issue=9|pages=1815–24|doi=10.1093/bioinformatics/bti279|pmid=15657094|doi-access=free}}</ref>
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<ref name="prlic">{{cite journal|vauthors=Prlic A, Bliven S, Rose PW, Bluhm WF, Bizon C, Godzik A, Bourne PE |year=2010|title= Pre-calculated protein structure alignments at the RCSB PDB website |pmid=20937596|pages= 2983–2985|volume=26|issue=23|doi=10.1093/bioinformatics/btq572|pmc=3003546|journal=Bioinformatics}}</ref>
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* Yuan X, Bystroff C. (2004) "Non-sequential Structure-based Alignments Reveal Topology-independent Core Packing Arrangements in Proteins", ''Bioinformatics''. Nov 5, 2004
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* {{cite journal |vauthors=Ye Y, Godzik A | year = 2005 | title = Multiple flexible structure alignment using partial order graphs | journal = Bioinformatics | volume = 21 | issue = 10| pages = 2362–2369 | doi=10.1093/bioinformatics/bti353| pmid = 15746292 | doi-access = free }}
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