Structure Based Alignment And Clustering Of Proteins (stralcp)

Abstract

Disclosed are computational methods of clustering a set of protein structures based on local and pair-wise global similarity values. Pair-wise local and global similarity values are generated based on pair-wise structural alignments for each protein in the set of protein structures. Initially, the protein structures are clustered based on pair-wise local similarity values. The protein structures are then clustered based on pair-wise global similarity values. For each given cluster both a representative structure and spans of conserved residues are identified. The representative protein structure is used to assign newly-solved protein structures to a group. The spans are used to characterize conservation and assign a "structural footprint" to the cluster.


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Document History
  • Publication: Jun 18, 2013
  • Application: Aug 7, 2007
    US US 89086307 A
  • Priority: Aug 7, 2007
    US US 89086307 A
  • Priority: Aug 7, 2006
    US US 83643406 P

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