Factors limiting the performance of prediction-based fold recognition methods
about
Toward predicting protein topology: an approach to identifying beta hairpins.From local structure to a global framework: recognition of protein folds.Strand-loop-strand motifs: prediction of hairpins and diverging turns in proteins.Hidden Markov models that use predicted local structure for fold recognition: alphabets of backbone geometry.Using support vector machine to predict beta- and gamma-turns in proteins.Prediction of the beta-hairpins in proteins using support vector machine.Recognition of beta-hairpin motifs in proteins by using the composite vector.SSALN: an alignment algorithm using structure-dependent substitution matrices and gap penalties learned from structurally aligned protein pairs.
P2860
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P2860
Factors limiting the performance of prediction-based fold recognition methods
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Factors limiting the performance of prediction-based fold recognition methods
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Factors limiting the performance of prediction-based fold recognition methods
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type
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Factors limiting the performance of prediction-based fold recognition methods
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Factors limiting the performance of prediction-based fold recognition methods
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Factors limiting the performance of prediction-based fold recognition methods
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Factors limiting the performance of prediction-based fold recognition methods
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P2860
P356
P1433
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Factors limiting the performance of prediction-based fold recognition methods
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P2093
de la Cruz X
P2860
P304
P356
10.1110/PS.8.4.750
P577
1999-04-01T00:00:00Z