Ontology highlight
ABSTRACT: Background
To discover remote evolutionary relationships and functional similarities between proteins, biologists rely on comparative sequence analysis, and when structures are available, on structural alignments and various measures of structural similarity. The measures/scores that have most commonly been used for this purpose include: alignment length, percent sequence identity, superposition RMSD and their different combinations. More recently, we have introduced the "Homologous core structure overlap score" (HCS) and the "Loop Hausdorff Measure" (LHM). Along with these we also consider the "gapped structural alignment score" (GSAS), which was introduced earlier by other researchers.Results
We analyze the performance of these and other conventional measures at the task
SUBMITTER: Madej T
PROVIDER: S-EPMC1852803 | biostudies-literature | 2007 Apr
REPOSITORIES: biostudies-literature