Prediction of protein and nucleic acid interactions
The purpose of my doctoral studies has been the development of bioinformatics methods to quantitatively evaluate associations between proteins and nucleic acids (NAs). This thesis aims at providing insights into molecular features and still relatively unknown mechanisms of protein-NAs associations,...
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| Tipo de recurso: | tesis doctoral |
| Estado: | Versión publicada |
| Fecha de publicación: | 2016 |
| País: | España |
| Institución: | CBUC, CESCA |
| Repositorio: | TDR. Tesis Doctorales en Red |
| OAI Identifier: | oai:www.tdx.cat:10803/403537 |
| Acceso en línea: | http://hdl.handle.net/10803/403537 |
| Access Level: | acceso abierto |
| Palabra clave: | DNA-binding proteins RNA-binding proteins Neurodegenerative diseases Protein-protein interacion networks Interacciones entre proteínas y ácidos nucleicos Proteínas que se unen a ADN Proteínas que se unen a ARN Enfermedades neurodegenerativas Red de interacción proteína-proteína Protein-nucleic acid interactions 577 |
| Sumario: | The purpose of my doctoral studies has been the development of bioinformatics methods to quantitatively evaluate associations between proteins and nucleic acids (NAs). This thesis aims at providing insights into molecular features and still relatively unknown mechanisms of protein-NAs associations, such as RNA-binding proteins and long noncoding RNAs as well as transcription factors and regulatory DNA elements. In this work, I present two algorithms, catRAPID omics express and PAnDA, for the prediction of RNA- and DNA-protein interaction respectively. Those computational methods offer the possibility to address experimental problems and guide new approaches largely facilitating experimental design and procedures |
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