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IEEE Computer Society Bioinformatics Conference (CSB'03)
A Statistical Model of Proteolytic Digestion
Stanford, California
August 11-August 14
ISBN: 0-7695-2000-6
I-Jeng Wang, Johns Hopkins University Applied Physics Lab
Christopher P. Diehl, Johns Hopkins University Applied Physics Lab
Fernando J. Pineda, Johns Hopkins Bloomberg School of Public Health
We present a stochastic model of proteolytic digestion of a proteome, assuming the distribution of parent protein lengths in the proteome, the relative abundances of the 20 amino acids in the proteome, and the digestion "rules" of the enzyme used in the digestion. We derived a closed form expression for the fragment mass distribution for a large class of enzymes including the widely used Trypsin. The expression uses the distribution of lengths in a mixture of proteins taken from a proteome, as well as the relative abundances of the 20 amino acids in the proteome. The agreement between theory and the in silico digest is excellent.
Citation:
I-Jeng Wang, Christopher P. Diehl, Fernando J. Pineda, "A Statistical Model of Proteolytic Digestion," csb, pp.506, IEEE Computer Society Bioinformatics Conference (CSB'03), 2003
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