(Q52134875)

22 April 2018

title

Prediction of protein (domain) structural classes based on amino-acid index. (English)

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22 April 2018

author name string

W S Bu

1

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22 April 2018

Z P Feng

2

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22 April 2018

Z Zhang

3

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22 April 2018

C T Zhang

4

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22 April 2018

language of work or name

English

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publication date

1 December 1999

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22 April 2018

published in

FEBS Journal

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22 April 2018

volume

266

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issue

3

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22 April 2018

page(s)

1043-1049

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22 April 2018

Principles that govern the folding of protein chains

cites work

1 reference

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Prediction of Protein Structural Classes

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An algorithm for protein secondary structure prediction based on class prediction.

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Improvements in protein secondary structure prediction by an enhanced neural network

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Prediction of the three-dimensional structure of human growth hormone

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Origins of structural diversity within sequentially identical hexapeptides

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Prediction of the secondary structure contents of globular proteins based on three structural classes

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A heuristic approach to predicting the tertiary structure of bovine somatotropin.

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Prediction of protein structural class by discriminant analysis.

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An optimization approach to predicting protein structural class from amino acid composition

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A weighting method for predicting protein structural class from amino acid composition

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Cross-validation of protein structural class prediction using statistical clustering and neural networks

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Protein folding classes: a geometric interpretation of the amino acid composition of globular proteins.

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A novel approach to predicting protein structural classes in a (20-1)-D amino acid composition space

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Predicting protein structural classes from amino acid composition: application of fuzzy clustering.

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Prediction of secondary structural content of proteins from their amino acid composition alone. II. The paradox with secondary structural class

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Domain structural class prediction.

21 January 2018

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Hydrophobicity scales and computational techniques for detecting amphipathic structures in proteins

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Hydrophobic packing and spatial arrangement of amino acid residues in globular proteins.

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Secondary structure prediction: combination of three different methods.

21 January 2018

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Prediction of peptide retention times in high-pressure liquid chromatography on the basis of amino acid composition

21 January 2018

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New hydrophilicity scale derived from high-performance liquid chromatography peptide retention data: correlation of predicted surface residues with antigenicity and X-ray-derived accessible sites

21 January 2018

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Protein secondary structure prediction using logic-based machine learning

21 January 2018

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10.1046/J.1432-1327.1999.00947.X

21 January 2018

Identifiers

DOI

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22 April 2018

1 reference

22 April 2018