(Q45967137)

18 December 2017

title

Prediction of protein solvent accessibility using support vector machines. (English)

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18 December 2017

main subject

support vector machine

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2

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18 December 2017

John S. Mattick

series ordinal

3

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18 December 2017

author name string

Zheng Yuan

series ordinal

1

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18 December 2017

language of work or name

English

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publication date

1 August 2002

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18 December 2017

published in

Proteins

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18 December 2017

volume

48

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18 December 2017

issue

3

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18 December 2017

page(s)

566-570

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18 December 2017

describes a project that uses

support vector machine

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based on heuristic

inferred from title

cites work

Adaptation of protein surfaces to subcellular location

1 reference

https://api.crossref.org/works/10.1002%2FPROT.10176

Predicting surface exposure of amino acids from protein sequence

21 January 2018

1 reference

https://api.crossref.org/works/10.1002%2FPROT.10176

Conservation and prediction of solvent accessibility in protein families

21 January 2018

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https://api.crossref.org/works/10.1002%2FPROT.10176

Predicting solvent accessibility: higher accuracy using Bayesian statistics and optimized residue substitution classes.

21 January 2018

1 reference

https://api.crossref.org/works/10.1002%2FPROT.10176

Predicting residue solvent accessibility from protein sequence by considering the sequence environment.

21 January 2018

1 reference

https://api.crossref.org/works/10.1002%2FPROT.10176

New method for accurate prediction of solvent accessibility from protein sequence.

21 January 2018

1 reference

https://api.crossref.org/works/10.1002%2FPROT.10176

Prediction of protein surface accessibility with information theory.

21 January 2018

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https://api.crossref.org/works/10.1002%2FPROT.10176

Hybrid system for protein secondary structure prediction

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https://api.crossref.org/works/10.1002%2FPROT.10176

Evaluation and improvement of multiple sequence methods for protein secondary structure prediction.

21 January 2018

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https://api.crossref.org/works/10.1002%2FPROT.10176

Support vector machine classification and validation of cancer tissue samples using microarray expression data

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https://api.crossref.org/works/10.1002%2FPROT.10176

Multi-class protein fold recognition using support vector machines and neural networks.

21 January 2018

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https://api.crossref.org/works/10.1002%2FPROT.10176

Predicting protein--protein interactions from primary structure

21 January 2018

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https://api.crossref.org/works/10.1002%2FPROT.10176

A novel method of protein secondary structure prediction with high segment overlap measure: support vector machine approach.

21 January 2018

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https://api.crossref.org/works/10.1002%2FPROT.10176

Multiclass cancer diagnosis using tumor gene expression signatures

21 January 2018

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

21 January 2018

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Comparison of the predicted and observed secondary structure of T4 phage lysozyme

21 January 2018

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A comparison of machine learning methods for the diagnosis of pigmented skin lesions.

21 January 2018

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Support vector machine approach for protein subcellular localization prediction

21 January 2018

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https://api.crossref.org/works/10.1002%2FPROT.10176

A 3D-1D substitution matrix for protein fold recognition that includes predicted secondary structure of the sequence

21 January 2018

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Seeking an ancient enzyme in Methanococcus jannaschii using ORF, a program based on predicted secondary structure comparisons

21 January 2018

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Enhanced genome annotation using structural profiles in the program 3D-PSSM

21 January 2018

1 reference

https://api.crossref.org/works/10.1002%2FPROT.10176

Identification of related proteins with weak sequence identity using secondary structure information

21 January 2018

1 reference

https://api.crossref.org/works/10.1002%2FPROT.10176

Environmental features are important in determining protein secondary structure

21 January 2018

1 reference

https://api.crossref.org/works/10.1002%2FPROT.10176

Identification of functional surfaces of the zinc binding domains of intracellular receptors

21 January 2018

1 reference

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21 January 2018

Identifiers

DOI

10.1002/PROT.10176

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18 December 2017

PubMed ID

12112679

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18 December 2017