Tscherneck, Stephanie and Strunk, Sarah and Schmidt, Christian and Hammer, Paul and Amberg, Ronny and Wang, Chong and Gillert, Rainer and Krause, Antje and Petznick, Gabriele and Beyerlein, Peter

On the Mutual Information Between Interaction Perplexity and Function of Proteins

IEEE International Workshop on Genomic Signal Processing and Statistics, Minneapolis, MN, USA, 2009, pp. 1-4


Abstract

We are exploring a novel information theory based approach to analyse the relation of the number of protein interactions (interaction perplexity) and protein function. The interaction perplexity is translated into a smooth sigmoid function, indicating if the protein is a hub candidate or not (hub likelihood). The overall mutual information between the hub likelihood and the protein function exhibits a clear maximum at an interaction perplexity of 21. Moreover the conditional probability of observing a certain protein function given the hub likelihood shows discriminative power. In addition our findings support that the mutual information between hub likelihood and protein function depends upon the cell compartment under investigation, it's maximum ranging up to 29 % of the achievable information value at interaction perplexities, ranging from 15 to 50.


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BibTeX

@inproceedings{Tscherneck2009b,
  author = {Tscherneck, Stephanie and Strunk, Sarah and Schmidt, Christian and
	Hammer, Paul and Amberg, Ronny and Wang, Chong and Gillert, Rainer
	and Krause, Antje and Petznick, Gabriele and Beyerlein, Peter},
  title = {{On the Mutual Information Between Interaction Perplexity and Function
	of Proteins}},
  booktitle = {IEEE International Workshop on Genomic Signal Processing and Statistics},
  year = {2009},
  pages = {1--4},
  address = {Minneapolis, MN, USA},
  month = may,
  organization = {IEEE},
  abstract = {We are exploring a novel information theory based approach to analyse
	the relation of the number of protein interactions (interaction perplexity)
	and protein function. The interaction perplexity is translated into
	a smooth sigmoid function, indicating if the protein is a hub candidate
	or not (hub likelihood). The overall mutual information between the
	hub likelihood and the protein function exhibits a clear maximum
	at an interaction perplexity of 21. Moreover the conditional probability
	of observing a certain protein function given the hub likelihood
	shows discriminative power. In addition our findings support that
	the mutual information between hub likelihood and protein function
	depends upon the cell compartment under investigation, it's maximum
	ranging up to 29\,\% of the achievable information value at interaction
	perplexities, ranging from 15 to 50.},
  doi = {10.1109/GENSIPS.2009.5174359},
  isbn = {978-1-4244-4761-9},
  url = {http://dx.doi.org/10.1109/GENSIPS.2009.5174359}
}