Sequential structure alignment program: Difference between revisions

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{{context|date=November 2009}}
The '''SSAP'''sequential ('''Sequentialstructure Structurealignment Alignmentprogram Program(SSAP)''') method uses double [[dynamic programming]] to produce a structural alignment based on atom-to-atom [[Vector (geometric)|vectors]] in structure space.<ref>{{cite pmid|2769748}}</ref><ref>{{cite pmid|8743709}}</ref> Instead of the alpha carbons typically used in structural alignment, SSAP constructs its vectors from the [[beta carbon]]s for all residues except glycine, a method which thus takes into account the rotameric state of each residue as well as its ___location along the backbone. SSAP works by first constructing a series of inter-residue distance vectors between each residue and its nearest non-contiguous neighbors on each protein. A series of matrices are then constructed containing the vector differences between neighbors for each pair of residues for which vectors were constructed. Dynamic programming applied to each resulting matrix determines a series of optimal local alignments which are then summed into a "summary" matrix to which dynamic programming is applied again to determine the overall structural alignment.
 
SSAP originally produced only pairwise alignments but has since been extended to multiple alignments as well.<ref name="taylor">{{cite pmid|7849601}}</ref> It has been applied in an all-to-all fashion to produce a hierarchical fold classification scheme known as [[CATH]] (Class, Architecture, Topology, Homology),.<ref name="Orengo1997">{{cite journal |author=Orengo CA, Michie AD, Jones S, Jones DT, Swindells MB, Thornton JM |title=CATH--aCATH—a hierarchic classification of protein ___domain structures |journal=Structure |volume=5 |issue=8 |pages=1093–1108 |year=1997 |pmid=9309224 |doi=10.1016/S0969-2126(97)00260-8}}</ref> which has been used to construct the [http://www.cathdb.info/latest/index.html CATH Protein Structure Classification] database.
 
Generally, SSAP scores above 80 are associated with highly similar structures. Scores between 70 and 80 indicate a similar fold with minor variations. Structures yielding a score between 60 and 70 do not generally contain the same fold, but usually belong to the same protein class with common structural motifs.<ref name="porwal">{{cite pmid|17450548}}</ref>
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*[[CATH|Class, Architecture, Topology, Homology (CATH)]]
*[[Root mean square deviation (bioinformatics)|RMSD]] &mdash; A different structure comparison measure
*[[Template Modelingmodeling Score (bioinformatics)score|TM-Scorescore]] &mdash; A different structure comparison measure
*[[Global distance test|GDT]] &mdash; A different structure comparison measure
*[[Longest Continuous Segment (bioinformatics)|LCS]] &mdash; A different structure comparison measure