Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/337650
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dc.contributor.CRUESPUNIVERSIDADE ESTADUAL DE CAMPINASpt_BR
dc.contributor.authorunicampZandonadi, Flávia da Silva-
dc.contributor.authorunicampCruz, Elisa Castaneda Santa-
dc.typeArtigopt_BR
dc.titleNew SDC function prediction based on protein-protein interaction using bioinformatics toolspt_BR
dc.contributor.authorZandonadi, Flavia S.-
dc.contributor.authorSanta Cruz, Elisa Castaneda-
dc.contributor.authorKorvala, Johanna-
dc.subjectSindecanaspt_BR
dc.subject.otherlanguageSyndecanspt_BR
dc.description.abstractThe precise roles for SDC have been complex to specify. Assigning and reanalyzing protein and peptide identification to novel protein functions is one of the most important challenges in postgenomic era. Here, we provide SDC molecular description to support, contextualize and reanalyze the corresponding protein-protein interaction (PPI). From SDC-1 data mining, we discuss the potential of bioinformatics tools to predict new biological rules of SDC. Using these methods, we have assembled new possibilities for SDC biology from PPI data, once, the understanding of biology complexity cannot be capture from one simple questionpt_BR
dc.relation.ispartofComputational biology and chemistrypt_BR
dc.relation.ispartofabbreviationComput. biol. chem.pt_BR
dc.publisher.cityLondonpt_BR
dc.publisher.countryReino Unidopt_BR
dc.publisherElsevierpt_BR
dc.date.issued2019-
dc.date.monthofcirculationDec.pt_BR
dc.language.isoengpt_BR
dc.description.volume83pt_BR
dc.rightsFechadopt_BR
dc.sourceWOSpt_BR
dc.identifier.issn1476-9271pt_BR
dc.identifier.eissn1476-928Xpt_BR
dc.identifier.doi10.1016/j.compbiolchem.2019.107087pt_BR
dc.identifier.urlhttps://www.sciencedirect.com/science/article/pii/S1476927118307266pt_BR
dc.description.sponsorshipCONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO - CNPQpt_BR
dc.description.sponsorshipCOORDENAÇÃO DE APERFEIÇOAMENTO DE PESSOAL DE NÍVEL SUPERIOR - CAPESpt_BR
dc.description.sponsorshipFUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULO - FAPESPpt_BR
dc.description.sponsordocumentnumber141439/2016-5pt_BR
dc.description.sponsordocumentnumber88882.305841/2018-01pt_BR
dc.description.sponsordocumentnumber2013/02257-9pt_BR
dc.date.available2020-03-27T16:24:27Z-
dc.date.accessioned2020-03-27T16:24:27Z-
dc.description.provenanceSubmitted by Mariana Aparecida Azevedo (mary1@unicamp.br) on 2020-03-27T16:24:27Z No. of bitstreams: 0. Added 1 bitstream(s) on 2020-07-20T14:20:08Z : No. of bitstreams: 1 000501651500006.pdf: 2240481 bytes, checksum: d7f1818a4d27622a8a7271429becc1db (MD5)en
dc.description.provenanceMade available in DSpace on 2020-03-27T16:24:27Z (GMT). No. of bitstreams: 0 Previous issue date: 2019en
dc.identifier.urihttp://repositorio.unicamp.br/jspui/handle/REPOSIP/337650-
dc.contributor.departmentsem informaçãopt_BR
dc.contributor.departmentsem informaçãopt_BR
dc.contributor.unidadeInstituto de Químicapt_BR
dc.subject.keywordBioinformatics toolspt_BR
dc.subject.keywordMultifunctional partnerspt_BR
dc.subject.keywordBiological functionpt_BR
dc.identifier.source000501651500006pt_BR
dc.creator.orcidsem informaçãopt_BR
dc.creator.orcid0000-0002-1044-6191pt_BR
dc.type.formArtigo de revisãopt_BR
dc.identifier.articleid107087pt_BR
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