Predicting enzyme family class in a hybridization space
نویسندگان
چکیده
منابع مشابه
Predicting subcellular localization of proteins in a hybridization space
MOTIVATION The localization of a protein in a cell is closely correlated with its biological function. With the number of sequences entering into databanks rapidly increasing, the importance of developing a powerful high-throughput tool to determine protein subcellular location has become self-evident. In view of this, the Nearest Neighbour Algorithm was developed for predicting the protein sub...
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Predicting enzyme class from protein structure parameters is a challenging problem in protein analysis. We developed a method to predict enzyme class that combines the strengths of statistical and data-mining methods. This method has a strong mathematical foundation and is simple to implement, achieving an accuracy of 45%. A comparison with the methods found in the literature designed to predic...
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Methods for predicting protein function from structure are becoming more important as the rate at which structures are solved increases more rapidly than experimental knowledge. As a result, protein structures now frequently lack functional annotations. The majority of methods for predicting protein function are reliant upon identifying a similar protein and transferring its annotations to the ...
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15 صفحه اولPredicting Nucleic Acid Hybridization and Melting Profiles
Many applications in modern biotechnology require a rapid and sensitive prediction of hybridization or partial hybridization between an oligonucleotide and potential targets in a genomic DNA or mRNA database. In addition, the accurate prediction of melting profiles between an oligonucleotide and a target nucleic acid is also of great value. DNA and RNA chip technologies [16, 17], PCR primer des...
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ژورنال
عنوان ژورنال: Protein Science
سال: 2008
ISSN: 0961-8368
DOI: 10.1110/ps.04981104