@article{(Open Science Index):https://publications.waset.org/pdf/8237,
	  title     = {An Information Theoretic Approach to Rescoring Peptides Produced by De Novo Peptide Sequencing},
	  author    = {John R. Rose and  James P. Cleveland and  Alvin Fox},
	  country	= {},
	  institution	= {},
	  abstract     = {Tandem mass spectrometry (MS/MS) is the engine
driving high-throughput protein identification. Protein mixtures possibly
representing thousands of proteins from multiple species are
treated with proteolytic enzymes, cutting the proteins into smaller
peptides that are then analyzed generating MS/MS spectra. The
task of determining the identity of the peptide from its spectrum
is currently the weak point in the process. Current approaches to de
novo sequencing are able to compute candidate peptides efficiently.
The problem lies in the limitations of current scoring functions. In this
paper we introduce the concept of proteome signature. By examining
proteins and compiling proteome signatures (amino acid usage) it is
possible to characterize likely combinations of amino acids and better
distinguish between candidate peptides. Our results strongly support
the hypothesis that a scoring function that considers amino acid usage
patterns is better able to distinguish between candidate peptides. This
in turn leads to higher accuracy in peptide prediction.},
	    journal   = {International Journal of Biotechnology and Bioengineering},
	  volume    = {4},
	  number    = {10},
	  year      = {2010},
	  pages     = {776 - 781},
	  ee        = {https://publications.waset.org/pdf/8237},
	  url   	= {https://publications.waset.org/vol/46},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 46, 2010},