How good is prediction of protein structural class by the component-coupled method?
about
Prodepth: predict residue depth by support vector regression approach from protein sequences onlyCharacterization of protein secondary structure from NMR chemical shiftsTMBETA-NET: discrimination and prediction of membrane spanning beta-strands in outer membrane proteins.PSSP-RFE: accurate prediction of protein structural class by recursive feature extraction from PSI-BLAST profile, physical-chemical property and functional annotationsA strategy to select suitable physicochemical attributes of amino acids for protein fold recognition.Proposing a highly accurate protein structural class predictor using segmentation-based features.Application of amino acid occurrence for discriminating different folding types of globular proteins.SCPRED: accurate prediction of protein structural class for sequences of twilight-zone similarity with predicting sequences.Sequence physical properties encode the global organization of protein structure space.Using principal component analysis and support vector machine to predict protein structural class for low-similarity sequences via PSSM.Targeting novel folds for structural genomics.A novel method for high accuracy sumoylation site prediction from protein sequencesProtein structural class prediction based on an improved statistical strategy.Modular prediction of protein structural classes from sequences of twilight-zone identity with predicting sequences.Prediction of protein structural classes for low-homology sequences based on predicted secondary structure.Some insights into protein structural class prediction.EVA: large-scale analysis of secondary structure prediction.Accurate prediction of protein structural class.Improving protein fold recognition using the amalgamation of evolutionary-based and structural based information.Prediction of Protein Structural Classes for Low-Similarity Sequences Based on Consensus Sequence and Segmented PSSM.Prediction of Protein Structural Class Based on Gapped-Dipeptides and a Recursive Feature Selection Approach.Statistical prediction of protein structural, localization and functional properties by the analysis of its fragment mass distributions after proteolytic cleavage.Protein folds recognized by an intelligent predictor based-on evolutionary and structural information.Fold homology detection using sequence fragment composition profiles of proteins.Learning protein multi-view features in complex space.Accurate prediction of protein structural class using auto covariance transformation of PSI-BLAST profiles.Prediction of protein structural class by amino acid and polypeptide composition.The prediction accuracy for protein structural class by the component-coupled method is around 60%.Is it a paradox or misinterpretation?
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P2860
How good is prediction of protein structural class by the component-coupled method?
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How good is prediction of protein structural class by the component-coupled method?
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How good is prediction of protein structural class by the component-coupled method?
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How good is prediction of protein structural class by the component-coupled method?
@en
How good is prediction of protein structural class by the component-coupled method?
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How good is prediction of protein structural class by the component-coupled method?
@en
How good is prediction of protein structural class by the component-coupled method?
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P2860
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How good is prediction of protein structural class by the component-coupled method?
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P2860
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10.1002/(SICI)1097-0134(20000201)38:2<165::AID-PROT5>3.0.CO;2-V
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P577
2000-02-01T00:00:00Z