Artificial neural network method for predicting protein secondary structure content. (Q52036065)

20 April 2018

title

Artificial neural network method for predicting protein secondary structure content. (English)

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20 April 2018

artificial neural network

main subject

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1

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20 April 2018

Kuo-Chen Chou

series ordinal

4

object named as

Kuo-Chen Chou

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20 April 2018

Xiao-Jun Liu

2

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20 April 2018

Xue-Biao Xu

series ordinal

3

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20 April 2018

publication date

1 June 2002

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20 April 2018

published in

Computers & Chemistry

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20 April 2018

volume

26

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20 April 2018

issue

4

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20 April 2018

page(s)

347-350

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20 April 2018

Is it a paradox or misinterpretation?

cites work

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https://api.crossref.org/works/10.1016%2FS0097-8485%2801%2900125-5

7 January 2021

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

1 reference

https://api.crossref.org/works/10.1016%2FS0097-8485%2801%2900125-5

7 January 2021

Prediction and classification of alpha-turn types.

1 reference

https://api.crossref.org/works/10.1016%2FS0097-8485%2801%2900125-5

7 January 2021

Using pair-coupled amino acid composition to predict protein secondary structure content.

1 reference

https://api.crossref.org/works/10.1016%2FS0097-8485%2801%2900125-5

7 January 2021

Classification and prediction of beta-turn types.

1 reference

https://api.crossref.org/works/10.1016%2FS0097-8485%2801%2900125-5

7 January 2021

Domain structural class prediction.

1 reference

https://api.crossref.org/works/10.1016%2FS0097-8485%2801%2900125-5

7 January 2021

Structure of beta-sheets. Origin of the right-handed twist and of the increased stability of antiparallel over parallel sheets

1 reference

https://api.crossref.org/works/10.1016%2FS0097-8485%2801%2900125-5

7 January 2021

Prediction of Protein Structural Classes

1 reference

https://api.crossref.org/works/10.1016%2FS0097-8485%2801%2900125-5

7 January 2021

Dictionary of protein secondary structure: pattern recognition of hydrogen-bonded and geometrical features

1 reference

https://api.crossref.org/works/10.1016%2FS0097-8485%2801%2900125-5

7 January 2021

Prediction of the amount of secondary structure in a globular protein from its aminoacid composition

1 reference

https://api.crossref.org/works/10.1016%2FS0097-8485%2801%2900125-5

7 January 2021

Prediction of protein secondary structure content.

1 reference

https://api.crossref.org/works/10.1016%2FS0097-8485%2801%2900125-5

7 January 2021

Predicting protein secondary structure content. A tandem neural network approach.

1 reference

https://api.crossref.org/works/10.1016%2FS0097-8485%2801%2900125-5

7 January 2021

Prediction of the secondary structure content of globular proteins based on structural classes.

1 reference

https://api.crossref.org/works/10.1016%2FS0097-8485%2801%2900125-5

7 January 2021

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

1 reference

https://api.crossref.org/works/10.1016%2FS0097-8485%2801%2900125-5

7 January 2021

Some insights into protein structural class prediction

1 reference

https://api.crossref.org/works/10.1016%2FS0097-8485%2801%2900125-5

7 January 2021

10.1016/S0097-8485(01)00125-5

Identifiers

DOI

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20 April 2018

DBLP publication ID

journals/candc/CaiLXC02a

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DBLP Dataset 2021-01-02

28 January 2021

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20 April 2018