GraphProt: modeling binding preferences of RNA-binding proteins

@inproceedings{Maticzka2013GraphProtMB,
  title={GraphProt: modeling binding preferences of RNA-binding proteins},
  author={Daniel Maticzka and Sita J. Lange and Fabrizio Costa and Rolf Backofen},
  booktitle={Genome Biology},
  year={2013}
}
We present GraphProt, a computational framework for learning sequence- and structure-binding preferences of RNA-binding proteins (RBPs) from high-throughput experimental data. We benchmark GraphProt, demonstrating that the modeled binding preferences conform to the literature, and showcase the biological relevance and two applications of GraphProt models. First, estimated binding affinities correlate with experimental measurements. Second, predicted Ago2 targets display higher levels of… CONTINUE READING
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