Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/45084
Registo completo
Campo DC | Valor | Idioma |
---|---|---|
dc.contributor.author | Sousa, Diana Andrade | por |
dc.contributor.author | Ferreira, Débora | por |
dc.contributor.author | Silva, A. | por |
dc.contributor.author | Kluskens, Leon | por |
dc.contributor.author | Rodrigues, L. R. | por |
dc.date.accessioned | 2017-03-20T12:07:26Z | - |
dc.date.available | 2017-03-20T12:07:26Z | - |
dc.date.issued | 2017-02-23 | - |
dc.identifier.citation | Sousa, Diana; Ferreira, Débora; Silva, A.; Kluskens, Leon D.; Rodrigues, Lígia R., Selection of a molecule that specifically targets the cell-surface Human Epidermal growth factor Receptor 2: in silico docking simulation. BOD 2017 - Bioinformatics Open Days (Book Conference). Braga, Feb 23-24, 2017. | - |
dc.identifier.uri | https://hdl.handle.net/1822/45084 | - |
dc.description.abstract | [Excerpt] Breast cancer is the most frequently diagnosed cancer and the leading cause of cancer death among females, accounting for 23% of the total cancer cases and 14% of the cancer deaths.1 Human Epidermal growth factor Receptor 2 (HER2) is a protein that is overexpressed in 25-30% of breast cancers and is involved in cell growth regulation, survival and differentiation.2 Aptamers generated from Systematic Evolution of Ligands by EXponential Enrichment (SELEX) emerged as a potential new tool for the development of targeted cancer therapies due to their three-dimensional structures that specifically recognize cell surface receptors, such as HER2.3 In this study, HER2-aptamers were screened and identified using SELEX. To design an approach for computational analysis of the isolated aptamers, their structures were modelled by mfold4, a web-based methodology for DNA structure prediction and hybridization software. The HER2 protein structure was obtained from Protein Data Bank (PDB) and using ZDOCK server5, the aptamer-target interactions were predicted through a combination of shape complementarity and statistical potential terms for scoring. [...] | por |
dc.language.iso | eng | por |
dc.rights | openAccess | por |
dc.title | Selection of a molecule that specifically targets the cell-surface Human Epidermal growth factor Receptor 2: in silico docking simulation | por |
dc.type | conferenceAbstract | por |
dc.peerreviewed | yes | por |
dc.relation.publisherversion | http://www.bioinformaticsopendays.com/ | por |
dc.comments | CEB46707 | por |
sdum.publicationstatus | published | - |
oaire.citationConferenceDate | 2017 | por |
sdum.event.type | conference | por |
oaire.citationConferencePlace | Braga | por |
oaire.citationTitle | BOD 2017 - Bioinformatics Open Days (Book Conference) | por |
dc.date.updated | 2017-02-28T12:45:30Z | - |
dc.description.publicationversion | info:eu-repo/semantics/publishedVersion | por |
Aparece nas coleções: |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
---|---|---|---|---|
document_46707_1.pdf | 118,78 kB | Adobe PDF | Ver/Abrir |