Abstract
Recent advances in large-scale genome sequencing have resulted in the accumulation of amino acid sequences of proteins whose functions are unknown. A variety of projects are now beginning to clarify the functions of these proteins and systematically determine their subcellular localizations. Because sorting signals usually determine protein localization, it is reasonable to attempt to recognize sorting signals, and indeed predict localization sites, computationally. To date, several algorithms for detecting various sorting signals have been developed 1 Claros M.G. Brunak S. von Heijne G. Curr. Opin. Struct. Biol. 1997; 7: 394-398 Crossref PubMed Scopus (112) Google Scholar , and several researchers have attempted to predict subcellular localization sites on the basis of protein amino acid composition 2 Cedano J. Aloy P. Pérez-Pons J.A. Querol E. J. Mol. Biol. 1997; 266: 594-600 Crossref PubMed Scopus (373) Google Scholar , 3 Reinhardt A. Hubbard T. Nucleic Acids Res. 1998; 26: 2230-2235 Crossref PubMed Scopus (532) Google Scholar . We have developed a program, PSORT, that to our knowledge is the only program that predicts subcellular localization by exploiting a comprehensive knowledge of protein sorting.
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