Amino Acid Principal Component Analysis (AAPCA) and its applications in protein structural class prediction. (Q51943698)

18 April 2018

title

Amino Acid Principal Component Analysis (AAPCA) and its applications in protein structural class prediction. (English)

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18 April 2018

principal component analysis

main subject

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author name string

Qi-Shi Du

1

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18 April 2018

Zhi-Qin Jiang

2

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18 April 2018

Wen-Zhang He

3

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18 April 2018

Da-Peng Li

4

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Kou-Chen Chou

5

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18 April 2018

publication date

1 June 2006

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Journal of Biomolecular Structure and Dynamics

published in

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volume

23

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issue

6

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page(s)

635-640

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Prediction of tight turns and their types in proteins.

cites work

1 reference

https://api.crossref.org/works/10.1080%2F07391102.2006.10507088

Predicting protein quaternary structure by pseudo amino acid composition

21 January 2018

1 reference

https://api.crossref.org/works/10.1080%2F07391102.2006.10507088

Prediction of protein structural classes and subcellular locations

21 January 2018

1 reference

https://api.crossref.org/works/10.1080%2F07391102.2006.10507088

Progress in protein structural class prediction and its impact to bioinformatics and proteomics

21 January 2018

1 reference

https://api.crossref.org/works/10.1080%2F07391102.2006.10507088

A key driving force in determination of protein structural classes.

21 January 2018

1 reference

https://api.crossref.org/works/10.1080%2F07391102.2006.10507088

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

21 January 2018

1 reference

https://api.crossref.org/works/10.1080%2F07391102.2006.10507088

An intriguing controversy over protein structural class prediction

21 January 2018

1 reference

https://api.crossref.org/works/10.1080%2F07391102.2006.10507088

Some insights into protein structural class prediction

21 January 2018

1 reference

https://api.crossref.org/works/10.1080%2F07391102.2006.10507088

Subcellular location prediction of apoptosis proteins

21 January 2018

1 reference

https://api.crossref.org/works/10.1080%2F07391102.2006.10507088

Application of pseudo amino acid composition for predicting protein subcellular location: stochastic signal processing approach.

21 January 2018

1 reference

https://api.crossref.org/works/10.1080%2F07391102.2006.10507088

Prediction of Protein Structural Classes

21 January 2018

1 reference

https://api.crossref.org/works/10.1080%2F07391102.2006.10507088

An eigenvalue-eigenvector approach to predicting protein folding types.

21 January 2018

1 reference

https://api.crossref.org/works/10.1080%2F07391102.2006.10507088

Prediction of protein structural classes by modified mahalanobis discriminant algorithm.

21 January 2018

1 reference

https://api.crossref.org/works/10.1080%2F07391102.2006.10507088

Weighted-support vector machines for predicting membrane protein types based on pseudo-amino acid composition.

21 January 2018

1 reference

https://api.crossref.org/works/10.1080%2F07391102.2006.10507088

SLLE for predicting membrane protein types.

21 January 2018

1 reference

https://api.crossref.org/works/10.1080%2F07391102.2006.10507088

Using complexity measure factor to predict protein subcellular location.

21 January 2018

1 reference

https://api.crossref.org/works/10.1080%2F07391102.2006.10507088

Using supervised fuzzy clustering to predict protein structural classes

21 January 2018

1 reference

https://api.crossref.org/works/10.1080%2F07391102.2006.10507088

Low-frequency Fourier spectrum for predicting membrane protein types

21 January 2018

1 reference

https://api.crossref.org/works/10.1080%2F07391102.2006.10507088

Prediction of G-protein-coupled receptor classes.

21 January 2018

1 reference

https://api.crossref.org/works/10.1080%2F07391102.2006.10507088

Protein subcellular location prediction

21 January 2018

1 reference

https://api.crossref.org/works/10.1080%2F07391102.2006.10507088

Relation between amino acid composition and cellular location of proteins.

21 January 2018

1 reference

https://api.crossref.org/works/10.1080%2F07391102.2006.10507088

Predicting protein localization in budding yeast

21 January 2018

1 reference

https://api.crossref.org/works/10.1080%2F07391102.2006.10507088

Predicting protein subnuclear location with optimized evidence-theoretic K-nearest classifier and pseudo amino acid composition.

21 January 2018

1 reference

https://api.crossref.org/works/10.1080%2F07391102.2006.10507088

Predicting enzyme family class in a hybridization space.

21 January 2018

1 reference

https://api.crossref.org/works/10.1080%2F07391102.2006.10507088

Using GO-PseAA predictor to predict enzyme sub-class.

21 January 2018

1 reference

https://api.crossref.org/works/10.1080%2F07391102.2006.10507088

Prediction of protease types in a hybridization space

21 January 2018

1 reference

https://api.crossref.org/works/10.1080%2F07391102.2006.10507088

Using Functional Domain Composition and Support Vector Machines for Prediction of Protein Subcellular Location

21 January 2018

1 reference

https://api.crossref.org/works/10.1080%2F07391102.2006.10507088

10.1080/07391102.2006.10507088

21 January 2018

Identifiers

DOI

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18 April 2018

PubMed ID

16615809

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18 April 2018