| Grant number: | 12/23329-5 |
| Support Opportunities: | Scholarships in Brazil - Post-Doctoral |
| Start date: | July 01, 2013 |
| End date: | May 31, 2015 |
| Field of knowledge: | Biological Sciences - Biology |
| Principal Investigator: | Ricardo Zorzetto Nicoliello Vêncio |
| Grantee: | Atlas Khan |
| Host Institution: | Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto (FFCLRP). Universidade de São Paulo (USP). Ribeirão Preto , SP, Brazil |
Abstract Ribonucleoprotein (RNP) interactions engage in critical roles within a broad range of cellular processes, ranging from transcriptional and posttranscriptional regulation of gene expression to host protection in opposition to pathogens. High throughput experiments to recognize RNA-protein interactions produce details about the complexity of interaction networks, but require time and considerable efforts. Therefore, there is need to have for trustworthy computational approaches for predicting ribonucleoprotein interactions. With this research project, we discuss an amount of approaches which have been formulated to predict the ability of proteins and RNA molecules to associate based on advance learning machine methods (Self Organizing Map (SOM), SOM-based Optimization (SOMO), Double Parallel Feedforward Neural Network (DPFNN), Extreme Learning Machine (ELM) and Support Vector Machine (SVM)). | |
| News published in Agência FAPESP Newsletter about the scholarship: | |
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