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Title: On distance and similarity in fold space. Author: Sippl MJ. Journal: Bioinformatics; 2008 Mar 15; 24(6):872-3. PubMed ID: 18227113. Abstract: Metric information on similarities and distances in fold space is essential for quantitative work in structural bioinformatics and structural biology. Here we derive a suitable metric for protein structures from the fundamental axioms of similarity. Derivation of the metric also clarifies the relationship between the interrelated concepts of distance and similarity.[Abstract] [Full Text] [Related] [New Search]