| Full text | |
| Author(s): |
Total Authors: 3
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| Affiliation: | [1] Univ Estadual Campinas, Dept Quim Analit, Lab Bioanalyt & Integrated Omics LaBIOmics, UNICAMP, Campinas, SP - Brazil
[2] Univ Oulu, Bioctr Oulu, Canc & Translat Med Res Unit, Oulu - Finland
[3] Univ Oulu, Fac Med, Oulu - Finland
Total Affiliations: 3
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| Document type: | Review article |
| Source: | COMPUTATIONAL BIOLOGY AND CHEMISTRY; v. 83, DEC 2019. |
| Web of Science Citations: | 1 |
| 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. (AU) | |
| FAPESP's process: | 13/02257-9 - Search of Syndecan- 1 binders using quantitative proteomic approach |
| Grantee: | Flávia da Silva Zandonadi |
| Support Opportunities: | Scholarships in Brazil - Doctorate |