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• W2045287441 abstract "Several efficient algorithms to conduct pairwise comparisons among large databases of protein structures have emerged in the recent literature. The central theme is the design of a measure between the Cα atoms of two protein chains, from which dynamic programming is used to compute an alignment. The efficiency and efficacy of these algorithms allows large-scale computational studies that would have been previously impractical. The computational study herein shows that the structural alignment algorithm eigen-decomposition alignment with the spectrum (EIGAs) is robust against both parametric and structural variation." @default.
• W2045287441 created "2016-06-24" @default.
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• W2045287441 date "2013-11-20" @default.
• W2045287441 modified "2023-10-01" @default.
• W2045287441 title "Dynamic Programming Used to Align Protein Structures with a Spectrum Is Robust" @default.
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• W2045287441 doi "https://doi.org/10.3390/biology2041296" @default.
• W2045287441 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4009789" @default.
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