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• W1969449780 endingPage "1094" @default.
• W1969449780 startingPage "1086" @default.
• W1969449780 abstract "In CAPRI, an automated NMR assignment software package that was developed in our laboratory, both chemical shift values and coupling topologies of spin patterns are used in a procedure for amino acids recognition. By using a knowledge base of chemical shift distributions of the 20 amino acid types, fuzzy mathematics, and pattern recognition theory, the spin coupling topological graphs are mapped onto specific amino acid residues. In this work, we investigated the feasibility of using secondary structure information of proteins as predicted by neural networks in the automated NMR assignment. As the 1H and 13C chemical shifts of proteins are known to correlate to their secondary structures, secondary structure information is useful in improving the amino acid recognition. In this study, the secondary structures of proteins predicted by the PHD protein server and our own trained neural networks are used in the amino acid type recognition. The results show that the predicted secondary structure information can help to improve the accuracy of the amino acid recognition." @default.
• W1969449780 created "2016-06-24" @default.
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• W1969449780 date "1997-11-01" @default.
• W1969449780 modified "2023-10-09" @default.
• W1969449780 title "Using Neural Network Predicted Secondary Structure Information in Automatic Protein NMR Assignment" @default.
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• W1969449780 doi "https://doi.org/10.1021/ci970012c" @default.
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• W1969449780 hasPublicationYear "1997" @default.
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