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A multivariate characterization of tRNA nucleosides
Umeå University, Faculty of Social Sciences, Centre for Demographic and Ageing Research (CEDAR).ORCID iD: 0000-0001-9188-5518
1996 (English)In: Journal of Chemometrics, ISSN 0886-9383, E-ISSN 1099-128X, Vol. 10, no 5-6, p. 493-508Article in journal (Refereed) Published
Abstract [en]

Twenty nucleosides occurring in transfer ribonucleic acid (tRNA) have been characterized using 21 experimentally determined (HPLC, TLC, NMR, etc.) and calculated (log P, van der Waals surface area, ionization potential, etc.) variables. Principal component analysis (PCA) was performed on the data set and four statistically significant components or principal properties (PPs) were extracted. The PPs described 68·4% of the variance in the data. The PP values are discussed in terms of similarity and dissimilarity among the nucleosides. The loading vectors from the PCA are used for an interpretation of the nature of the PP vectors. Application of the PPs in sequence-activity modelling is demonstrated with 25 DNA-promoter sequences originating from E. coli.

Place, publisher, year, edition, pages
1996. Vol. 10, no 5-6, p. 493-508
Keyword [en]
Nucleosides, Multivariate characterization, QSAR, Principal properties, Principal component analysis
National Category
Organic Chemistry
Identifiers
URN: urn:nbn:se:umu:diva-142534DOI: 10.1002/(SICI)1099-128X(199609)10:5/6<493::AID-CEM447>3.0.CO;2-COAI: oai:DiVA.org:umu-142534DiVA, id: diva2:1161996
Available from: 2017-12-01 Created: 2017-12-01 Last updated: 2018-06-09
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Sandberg Hiltunen, Maria

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