Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/337650
Type: Artigo
Title: New SDC function prediction based on protein-protein interaction using bioinformatics tools
Author: Zandonadi, Flavia S.
Santa Cruz, Elisa Castaneda
Korvala, Johanna
Abstract: The 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 question
Subject: Sindecanas
Country: Reino Unido
Editor: Elsevier
Rights: Fechado
Identifier DOI: 10.1016/j.compbiolchem.2019.107087
Address: https://www.sciencedirect.com/science/article/pii/S1476927118307266
Date Issue: 2019
Appears in Collections:IQ - Artigos e Outros Documentos

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