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• W2496281681 startingPage "861" @default.
• W2496281681 abstract "With the advent of genome-scale sequencing and high-throughput structure determination, workers in bioinformatics and proteomics are faced with a very practical problem—the need to organize a vast and growing body of data, so that information of interest and important correlations are readily accessible. Progress on several problems of fundamental biological importance depends on the development of appropriate classification methodology. The first is the delineation of functional relationships between sequences. The completion of any new genome yields a flood of sequences of proteins whose structure and function are unknown. The most reliable method of assigning a function to a new protein is to demonstrate appropriate relationships to known molecules. A second problem is the prediction of protein structure. Although significant progress has been made in ab initio methods for protein structure prediction, the most reliable methods remain those in which a model can be constructed based on a demonstrated homology to a protein of known structure. A third problem is the elucidation of the factors that determine fold choice in proteins (1). While this problem is very fundamental, its solution has important practical implications for genome analysis (2)." @default.
• W2496281681 created "2016-08-23" @default.
• W2496281681 creator A5016932360 @default.
• W2496281681 date "2005-01-01" @default.
• W2496281681 modified "2023-09-25" @default.
• W2496281681 title "Classification of Protein Sequences and Structures" @default.
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• W2496281681 doi "https://doi.org/10.1385/1-59259-890-0:861" @default.
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