Similarity measure for cell membrane fusion proteins identification
Resumen:
This work proposes a similarity measure between secondary structures of proteins capable of fusing cell membranes and its implementation in a classification system. For the evaluation of the metric we used secondary structures estimated from amino acid sequences of Class I and Class II viral fusogens (VFs), as well as VFs precursor proteins. We evaluated three different classifiers based on k-Nearest Neighbors, Support Vector Machines and One-Class Support Vector Machines in different configurations. This is a first approach to the similarity measure with satisfactory results. It is possible that this method could allow the identification of unknown membrane fusion proteins in other biological models than the proposed in this work. Keywords: Cell Membrane Fusion, Viral Fusogen, Similarity Measure, Support Vector Machines, One-Class Support Vector Machines, k-Nearest Neighbors
| 2017 | |
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Cell membrane fusion Viral fusogen Similarity measure Support vector machines One-class support vector machines k-nearest neighbors Procesamiento de Señales |
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| Inglés | |
| Universidad de la República | |
| COLIBRI | |
| https://hdl.handle.net/20.500.12008/43517 | |
| Acceso abierto | |
| Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| _version_ | 1807522942098079744 |
|---|---|
| author | Aguilar, Pablo S |
| author2 | Megrian, Daniela Lecumberry, Federico |
| author2_role | author author |
| author_facet | Aguilar, Pablo S Megrian, Daniela Lecumberry, Federico |
| author_role | author |
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| collection | COLIBRI |
| dc.creator.none.fl_str_mv | Aguilar, Pablo S Megrian, Daniela Lecumberry, Federico |
| dc.date.accessioned.none.fl_str_mv | 2024-04-16T16:21:09Z |
| dc.date.available.none.fl_str_mv | 2024-04-16T16:21:09Z |
| dc.date.issued.es.fl_str_mv | 2017 |
| dc.date.submitted.es.fl_str_mv | 20240416 |
| dc.description.abstract.none.fl_txt_mv | This work proposes a similarity measure between secondary structures of proteins capable of fusing cell membranes and its implementation in a classification system. For the evaluation of the metric we used secondary structures estimated from amino acid sequences of Class I and Class II viral fusogens (VFs), as well as VFs precursor proteins. We evaluated three different classifiers based on k-Nearest Neighbors, Support Vector Machines and One-Class Support Vector Machines in different configurations. This is a first approach to the similarity measure with satisfactory results. It is possible that this method could allow the identification of unknown membrane fusion proteins in other biological models than the proposed in this work. Keywords: Cell Membrane Fusion, Viral Fusogen, Similarity Measure, Support Vector Machines, One-Class Support Vector Machines, k-Nearest Neighbors |
| dc.description.es.fl_txt_mv | Trabajo presentado en Computer Vision, and Applications. CIARP 2016 |
| dc.identifier.citation.es.fl_str_mv | Megrian, D., Aguilar, P.S., Lecumberry, F. "Similarity measure for cell membrane fusion proteins identification”. Publicado en: Beltrán-Castañón, C., Nyström, I., Famili, F. (eds) Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2016. Srpinger, Lecture Notes in Computer Science, vol 10125. https://doi.org/10.1007/978-3-319-52277-7_32 |
| dc.identifier.uri.none.fl_str_mv | https://hdl.handle.net/20.500.12008/43517 |
| dc.language.iso.none.fl_str_mv | en eng |
| dc.rights.license.none.fl_str_mv | Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| dc.rights.none.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.source.none.fl_str_mv | reponame:COLIBRI instname:Universidad de la República instacron:Universidad de la República |
| dc.subject.es.fl_str_mv | Cell membrane fusion Viral fusogen Similarity measure Support vector machines One-class support vector machines k-nearest neighbors |
| dc.subject.other.es.fl_str_mv | Procesamiento de Señales |
| dc.title.none.fl_str_mv | Similarity measure for cell membrane fusion proteins identification |
| dc.type.es.fl_str_mv | Ponencia |
| dc.type.none.fl_str_mv | info:eu-repo/semantics/conferenceObject |
| dc.type.version.none.fl_str_mv | info:eu-repo/semantics/publishedVersion |
| description | Trabajo presentado en Computer Vision, and Applications. CIARP 2016 |
| eu_rights_str_mv | openAccess |
| format | conferenceObject |
| id | COLIBRI_891ee39640a88ea748e1ea86829e717a |
| identifier_str_mv | Megrian, D., Aguilar, P.S., Lecumberry, F. "Similarity measure for cell membrane fusion proteins identification”. Publicado en: Beltrán-Castañón, C., Nyström, I., Famili, F. (eds) Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2016. Srpinger, Lecture Notes in Computer Science, vol 10125. https://doi.org/10.1007/978-3-319-52277-7_32 |
| instacron_str | Universidad de la República |
| institution | Universidad de la República |
| instname_str | Universidad de la República |
| language | eng |
| language_invalid_str_mv | en |
| network_acronym_str | COLIBRI |
| network_name_str | COLIBRI |
| oai_identifier_str | oai:colibri.udelar.edu.uy:20.500.12008/43517 |
| publishDate | 2017 |
| reponame_str | COLIBRI |
| repository.mail.fl_str_mv | mabel.seroubian@seciu.edu.uy |
| repository.name.fl_str_mv | COLIBRI - Universidad de la República |
| repository_id_str | 4771 |
| rights_invalid_str_mv | Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| spelling | 2024-04-16T16:21:09Z2024-04-16T16:21:09Z201720240416Megrian, D., Aguilar, P.S., Lecumberry, F. "Similarity measure for cell membrane fusion proteins identification”. Publicado en: Beltrán-Castañón, C., Nyström, I., Famili, F. (eds) Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2016. Srpinger, Lecture Notes in Computer Science, vol 10125. https://doi.org/10.1007/978-3-319-52277-7_32https://hdl.handle.net/20.500.12008/43517Trabajo presentado en Computer Vision, and Applications. CIARP 2016This work proposes a similarity measure between secondary structures of proteins capable of fusing cell membranes and its implementation in a classification system. For the evaluation of the metric we used secondary structures estimated from amino acid sequences of Class I and Class II viral fusogens (VFs), as well as VFs precursor proteins. We evaluated three different classifiers based on k-Nearest Neighbors, Support Vector Machines and One-Class Support Vector Machines in different configurations. This is a first approach to the similarity measure with satisfactory results. It is possible that this method could allow the identification of unknown membrane fusion proteins in other biological models than the proposed in this work. Keywords: Cell Membrane Fusion, Viral Fusogen, Similarity Measure, Support Vector Machines, One-Class Support Vector Machines, k-Nearest NeighborsMade available in DSpace on 2024-04-16T16:21:09Z (GMT). No. of bitstreams: 5 MAL17.pdf: 251686 bytes, checksum: 248a6af915e1d3001c67e3c12a68268e (MD5) license_text: 21936 bytes, checksum: 9833653f73f7853880c94a6fead477b1 (MD5) license_url: 49 bytes, checksum: 4afdbb8c545fd630ea7db775da747b2f (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5) license.txt: 4244 bytes, checksum: 528b6a3c8c7d0c6e28129d576e989607 (MD5) Previous issue date: 2017enengLas obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad De La República. (Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014)info:eu-repo/semantics/openAccessLicencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)Cell membrane fusionViral fusogenSimilarity measureSupport vector machinesOne-class support vector machinesk-nearest neighborsProcesamiento de SeñalesSimilarity measure for cell membrane fusion proteins identificationPonenciainfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaAguilar, Pablo SMegrian, DanielaLecumberry, FedericoProcesamiento de SeñalesTratamiento de 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- Universidad de la Repúblicafalse |
| spellingShingle | Similarity measure for cell membrane fusion proteins identification Aguilar, Pablo S Cell membrane fusion Viral fusogen Similarity measure Support vector machines One-class support vector machines k-nearest neighbors Procesamiento de Señales |
| status_str | publishedVersion |
| title | Similarity measure for cell membrane fusion proteins identification |
| title_full | Similarity measure for cell membrane fusion proteins identification |
| title_fullStr | Similarity measure for cell membrane fusion proteins identification |
| title_full_unstemmed | Similarity measure for cell membrane fusion proteins identification |
| title_short | Similarity measure for cell membrane fusion proteins identification |
| title_sort | Similarity measure for cell membrane fusion proteins identification |
| topic | Cell membrane fusion Viral fusogen Similarity measure Support vector machines One-class support vector machines k-nearest neighbors Procesamiento de Señales |
| url | https://hdl.handle.net/20.500.12008/43517 |
