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- W195406007 abstract "Comparing protein structures based on their contact maps is an important problem in structural proteomics. Building a system for reconstructing protein tertiary structures from their contact maps motivates devising novel contact map comparison algorithms. Several methods that address the contact map comparison problem have been designed. However, they suggest scoring schemes that do not satisfy the two characteristics of “metricity” and “universality”. In this paper we propose a method to apply the Universal Similarity Metric (USM) to contact map comparison in two dimensions. Previous works were based on the conversion of twodimensional data structures (contact maps) to one-dimensional data structures (strings), which generally causes loss of structural information. Our method, which circumvents this dimension reduction, has the advantage of being noise tolerant. Our method is considerably more size-independent than the stringbased method. These features are vital to applications in protein structure reconstruction." @default.
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- W195406007 date "2008-01-01" @default.
- W195406007 modified "2023-09-23" @default.
- W195406007 title "Noise Tolerance of the Universal Similarity Metric Applied to Protein Contact Map Comparison in Two Dimensions." @default.
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