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• W1907726188 abstract "DNA containing a sequence that generates a local curvature exhibits a pronounced retardation in electrophoretic mobility. Various theoretical models have been proposed to explain relationship between DNA structural features and migration anomaly. Here, we studied the capacity of 15 static wedge-bending models to predict electrophoretic behavior of 69 satellite monomers derived from four divergent families. All monomers exhibited retarded mobility in PAGE corresponding to retardation factors ranging 1.02–1.54. The curvature varied both within and across the groups and correlated with the number, position, and lengths of A-tracts. Two dinucleotide models provided strong correlation between gel mobility and curvature prediction; two trinucleotide models were satisfactory while remaining dinucleotide models provided intermediate results with reliable prediction for subsets of sequences only. In some cases, similarly shaped molecules exhibited relatively large differences in mobility and vice versa. Generally less accurate predictions were obtained in groups containing less homogeneous sequences possessing distinct structural features. In conclusion, relatively universal theoretical models were identified suitable for the analysis of natural sequences known to harbor relatively moderate curvature. These models could be potentially applied to genome wide studies. However, in silico predictions should be viewed in context of experimental measurement of intrinsic DNA curvature." @default.
• W1907726188 created "2016-06-24" @default.
• W1907726188 creator A5017970175 @default.
• W1907726188 creator A5022326043 @default.
• W1907726188 creator A5060060348 @default.
• W1907726188 date "2013-09-01" @default.
• W1907726188 modified "2023-10-15" @default.
• W1907726188 title "Evaluation of DNA bending models in their capacity to predict electrophoretic migration anomalies of satellite DNA sequences" @default.
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• W1907726188 doi "https://doi.org/10.1002/elps.201300227" @default.
• W1907726188 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/23784748" @default.
• W1907726188 hasPublicationYear "2013" @default.
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