JOURNAL ARTICLE

IMPUTACIÓN MÚLTIPLE EN VARIABLES CATEGÓRICAS USANDO DATA AUGMENTATION Y ÁRBOLES DE CLASIFICACIÓN

Jorge Bacallao GuerraJorge Bacallao Gallestey

Year: 2010 Journal:   Investigación Operacional Vol: 31 (2)Pages: 133-139

Abstract

A complete relaxation matrix approach employing a matrix eigenvalue/eigenvector solution to the Bloch equations is used to evaluate the NMR solution structure of a tandemly positioned G.A double mismatch decamer oligodeoxyribonucleotide duplex, d(CCAAGATTGG)2. An iterative refinement method using a hybrid relaxation matrix combined with restrained molecular dynamics calculations is shown to provide structures having good agreement with the experimentally derived structures. Distances incorporated into the MD simulations have been calculated from the relaxation rate matrix evaluated from a hybrid NOESY volume matrix whose elements are obtained from the merging of experimental and calculated NOESY intensities. Starting from both A- and B-DNA and mismatch syn and anti models, it is possible to calculate structures that are in good atomic RMS agreement with each other (less than 1.6 A RMS) but differ from the reported crystal structure (greater than 3.6 A). Importantly, the hybrid matrix derived structures are in excellent agreement with the experimental solution conformation as determined by comparison of the 200-ms simulated and experimental NOESY spectra, while the crystallographic data provide spectra that are grossly different.

Keywords:
Humanities Mathematics Computer science Philosophy

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Citation History

Topics

Advanced Statistical Methods and Models
Physical Sciences →  Mathematics →  Statistics and Probability
Statistical Methods and Inference
Physical Sciences →  Mathematics →  Statistics and Probability
Statistical Methods and Applications
Physical Sciences →  Mathematics →  Statistics and Probability

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