A Statistical Model of Protein Sequence Similarity and Function Similarity Reveals Overly-Specific Function Predictions
نویسندگان
چکیده
منابع مشابه
A Statistical Model of Protein Sequence Similarity and Function Similarity Reveals Overly-Specific Function Predictions
BACKGROUND Predicting protein function from primary sequence is an important open problem in modern biology. Not only are there many thousands of proteins of unknown function, current approaches for predicting function must be improved upon. One problem in particular is overly-specific function predictions which we address here with a new statistical model of the relationship between protein se...
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Protein sequence analysis is an important tool for researchers to study on bio-informatics and molecular biology, such as proteins structure and function prediction, phylogenetic classification and different conservation pattern recognition. It is a significant open issue to quickly efficiently find the similar proteins from a large scale of protein repository. This paper proposes a new method ...
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chapter one is devoted to a moderate discussion on preliminaries, according to our requirements. chapter two which is based on our work in (24) is devoted introducting weighted semigroups (s, w), and studying some famous function spaces on them, especially the relations between go (s, w) and other function speces are invesigated. in fact this chapter is a complement to (32). one of the main fea...
15 صفحه اولEmpirical statistical estimates for sequence similarity searches.
The FASTA package of sequence comparison programs has been modified to provide accurate statistical estimates for local sequence similarity scores with gaps. These estimates are derived using the extreme value distribution from the mean and variance of the local similarity scores of unrelated sequences after the scores have been corrected for the expected effect of library sequence length. This...
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ژورنال
عنوان ژورنال: PLoS ONE
سال: 2009
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0007546