2024-03-28T12:35:41Zhttps://www.tdx.cat/oai/requestoai:www.tdx.cat:10803/3201922024-03-15T10:57:28Zcom_10803_236col_10803_690278
nam a 5i 4500
DNA
Protein
Prediction
Binding
Potential
ADN
Proteïna
Predicció
Unió
Potncials
On the characterization of protein-DNA interactions using statistical potentials and protein-protein interactions
[Barcelona] :
Universitat Pompeu Fabra,
2015
Accés lliure
http://hdl.handle.net/10803/320192
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Fornés Crespo, Oriol,
autor
Programa de doctorat en Biomedicina,
degree
1 recurs en línia (212 pàgines)
Tesi
Doctorat
Universitat Pompeu Fabra. Departament de Ciències Experimentals i de la Salut
2015
Universitat Pompeu Fabra. Departament de Ciències Experimentals i de la Salut
Tesis i dissertacions electròniques
Oliva Miguel, Baldomero,
supervisor acadèmic
TDX
Protein-DNA interactions are indispensable players in the daily activities of cells. DNA-binding proteins regulate gene expression and are responsible of DNA replication, packaging, repair and recombination. Among them, transcription factors activate/repress gene transcription by binding to specific genomic sites. Hence, the characterization of transcription factor binding sites turns out to be crucial in order to understand gene regulation. In this context, the development of computational tools is foremost. Here, I show the prediction of redundant transcription factors in yeast using a combination of homology-based tools and protein-protein interactions. The approach was automated and incorporated into ModLink+, an online and user-friendly tool to infer the fold of remote homologs. Moreover, I describe split-statistical potentials for protein-DNA interactions. Finally, I present SHAITAN, a statistical/homology-based approach that can be used to both predict transcription factor binding sites and infer the more likely transcription factors to bind a DNA sequence of interest.
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