Classification of nucleic acids structures by means of the chemometric analysis of circular dichroism spectra
DNA can adopt structures in solution apart from the well-known Watson-Click double helix, ranging from disordered single strands to high-order structures such as triplexes or quadruplexes. Moreover, different topologies can be adopted depending on the polarity of the DNA strands. The elucidation of...
| Autores: | , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión aceptada para publicación |
| Fecha de publicación: | 2009 |
| País: | España |
| Institución: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/109763 |
| Acceso en línea: | http://hdl.handle.net/10261/109763 |
| Access Level: | acceso abierto |
| Palabra clave: | DNA structure Principal Component Analysis Partial Least Squares Discriminant Analysis Clustering Circular dichroism spectroscopy |
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Classification of nucleic acids structures by means of the chemometric analysis of circular dichroism spectraJaumot, JoaquimEritja Casadellà, RamónNavea, SusanaGargallo, RaimundoDNA structurePrincipal Component AnalysisPartial Least Squares Discriminant AnalysisClusteringCircular dichroism spectroscopyDNA can adopt structures in solution apart from the well-known Watson-Click double helix, ranging from disordered single strands to high-order structures such as triplexes or quadruplexes. Moreover, different topologies can be adopted depending on the polarity of the DNA strands. The elucidation of the structure and topology adopted by a DNA sequence is usually carried out by means of spectroscopic techniques, such as circular dichroism. In this work, the ability of several chemometric methods to efficiently classify DNA structures from circular dichroism data is tested. With this objective in mind, a data set including 50 experimental spectra corresponding to different DNA structures (random coil, duplex, hairpin, reversed and normal triplex, parallel and antiparallel G-quadruplex, and i-motif) has been analyzed by means of unsupervised Hierarchical Clustering Analysis, Principal Component Analysis and Partial Least Squares Discriminant Analysis. The results have shown than those methods allow efficiently the classification of DNA structures from circular dichroism spectra. Moreover, these classification methods also provided the most characteristic wavelengths used in the classification procedures.Peer reviewedConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]201520152009info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Postprintinfo:eu-repo/semantics/acceptedVersionhttp://hdl.handle.net/10261/109763reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglésdx.doi.org/10.1016/j.aca.2008.12.052Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/1097632026-05-22T06:33:51Z |
| dc.title.none.fl_str_mv |
Classification of nucleic acids structures by means of the chemometric analysis of circular dichroism spectra |
| title |
Classification of nucleic acids structures by means of the chemometric analysis of circular dichroism spectra |
| spellingShingle |
Classification of nucleic acids structures by means of the chemometric analysis of circular dichroism spectra Jaumot, Joaquim DNA structure Principal Component Analysis Partial Least Squares Discriminant Analysis Clustering Circular dichroism spectroscopy |
| title_short |
Classification of nucleic acids structures by means of the chemometric analysis of circular dichroism spectra |
| title_full |
Classification of nucleic acids structures by means of the chemometric analysis of circular dichroism spectra |
| title_fullStr |
Classification of nucleic acids structures by means of the chemometric analysis of circular dichroism spectra |
| title_full_unstemmed |
Classification of nucleic acids structures by means of the chemometric analysis of circular dichroism spectra |
| title_sort |
Classification of nucleic acids structures by means of the chemometric analysis of circular dichroism spectra |
| dc.creator.none.fl_str_mv |
Jaumot, Joaquim Eritja Casadellà, Ramón Navea, Susana Gargallo, Raimundo |
| author |
Jaumot, Joaquim |
| author_facet |
Jaumot, Joaquim Eritja Casadellà, Ramón Navea, Susana Gargallo, Raimundo |
| author_role |
author |
| author2 |
Eritja Casadellà, Ramón Navea, Susana Gargallo, Raimundo |
| author2_role |
author author author |
| dc.contributor.none.fl_str_mv |
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72] |
| dc.subject.none.fl_str_mv |
DNA structure Principal Component Analysis Partial Least Squares Discriminant Analysis Clustering Circular dichroism spectroscopy |
| topic |
DNA structure Principal Component Analysis Partial Least Squares Discriminant Analysis Clustering Circular dichroism spectroscopy |
| description |
DNA can adopt structures in solution apart from the well-known Watson-Click double helix, ranging from disordered single strands to high-order structures such as triplexes or quadruplexes. Moreover, different topologies can be adopted depending on the polarity of the DNA strands. The elucidation of the structure and topology adopted by a DNA sequence is usually carried out by means of spectroscopic techniques, such as circular dichroism. In this work, the ability of several chemometric methods to efficiently classify DNA structures from circular dichroism data is tested. With this objective in mind, a data set including 50 experimental spectra corresponding to different DNA structures (random coil, duplex, hairpin, reversed and normal triplex, parallel and antiparallel G-quadruplex, and i-motif) has been analyzed by means of unsupervised Hierarchical Clustering Analysis, Principal Component Analysis and Partial Least Squares Discriminant Analysis. The results have shown than those methods allow efficiently the classification of DNA structures from circular dichroism spectra. Moreover, these classification methods also provided the most characteristic wavelengths used in the classification procedures. |
| publishDate |
2009 |
| dc.date.none.fl_str_mv |
2009 2015 2015 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article http://purl.org/coar/resource_type/c_6501 Postprint info:eu-repo/semantics/acceptedVersion |
| format |
article |
| status_str |
acceptedVersion |
| dc.identifier.none.fl_str_mv |
http://hdl.handle.net/10261/109763 |
| url |
http://hdl.handle.net/10261/109763 |
| dc.language.none.fl_str_mv |
Inglés |
| language_invalid_str_mv |
Inglés |
| dc.relation.none.fl_str_mv |
dx.doi.org/10.1016/j.aca.2008.12.052 Sí |
| dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess |
| eu_rights_str_mv |
openAccess |
| dc.source.none.fl_str_mv |
reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC instname:Consejo Superior de Investigaciones Científicas (CSIC) |
| instname_str |
Consejo Superior de Investigaciones Científicas (CSIC) |
| reponame_str |
DIGITAL.CSIC. Repositorio Institucional del CSIC |
| collection |
DIGITAL.CSIC. Repositorio Institucional del CSIC |
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| repository.mail.fl_str_mv |
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1869404479250497536 |
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15,811543 |