(Q33745509)

29 July 2017

title

iMethyl-PseAAC: identification of protein methylation sites via a pseudo amino acid composition approach (English)

1 reference

29 July 2017

2

Xuan Xiao

1 reference

29 July 2017

4

Kuo-Chen Chou

1 reference

29 July 2017

Wang-Ren Qiu

1

1 reference

29 July 2017

Wei-Zhong Lin

series ordinal

3

1 reference

29 July 2017

language of work or name

English

0 references

publication date

22 May 2014

1 reference

BioMed Research International

29 July 2017

published in

1 reference

29 July 2017

volume

2014

1 reference

29 July 2017

page(s)

947416

1 reference

Creative Commons Attribution 3.0 Unported

29 July 2017

copyright license

start time

1 January 2014

1 reference

April 2022 Public Data File from Crossref

copyright status

copyrighted

1 reference

April 2022 Public Data File from Crossref

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21 June 2018

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21 June 2018

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21 June 2018

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21 June 2018

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21 June 2018

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Incorporating structural characteristics for identification of protein methylation sites

21 January 2018

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Prediction and analysis of protein methylarginine and methyllysine based on Multisequence features.

21 January 2018

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iLoc-Animal: a multi-label learning classifier for predicting subcellular localization of animal proteins.

21 January 2018

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21 January 2018

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Prediction of signal peptides using scaled window

21 January 2018

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21 January 2018

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21 January 2018

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21 January 2018

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Boosting classifier for predicting protein domain structural class.

21 January 2018

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AFP-Pred: A random forest approach for predicting antifreeze proteins from sequence-derived properties.

21 January 2018

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Prediction of protease types in a hybridization space

21 January 2018

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21 January 2018

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21 January 2018

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GPCR-2L: predicting G protein-coupled receptors and their types by hybridizing two different modes of pseudo amino acid compositions.

21 January 2018

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Application of support vector machines for T-cell epitopes prediction

21 January 2018

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Neural models for predicting viral vaccine targets

21 January 2018

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https://api.crossref.org/works/10.1155%2F2014%2F947416

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21 January 2018

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https://api.crossref.org/works/10.1155%2F2014%2F947416

iLoc-Hum: using the accumulation-label scale to predict subcellular locations of human proteins with both single and multiple sites.

21 January 2018

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Molecular architecture of the DNA-binding region and its relationship to classification of basic helix-loop-helix proteins

21 January 2018

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Loopy proteins appear conserved in evolution.

21 January 2018

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An overview of statistical learning theory.

21 January 2018

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

21 January 2018

1 reference

https://api.crossref.org/works/10.1155%2F2014%2F947416

Prediction of protein signal sequences and their cleavage sites.

21 January 2018

1 reference

https://api.crossref.org/works/10.1155%2F2014%2F947416

A sequence-based approach for predicting protein disordered regions

21 January 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=4054830

Expression of nitric oxide related enzymes in coronary heart disease

30 October 2018

1 reference

PubMed

https://pubmed.ncbi.nlm.nih.gov/24977164

inferred from PubMed ID database lookup

12 December 2020

based on heuristic

Using pseudo amino acid composition to predict protein subcellular location: approached with Lyapunov index, Bessel function, and Chebyshev filter

1 reference

PubMed

https://pubmed.ncbi.nlm.nih.gov/24977164

inferred from PubMed ID database lookup

12 December 2020

based on heuristic

Identifiers

DOI

10.1155/2014/947416

1 reference

29 July 2017

1 reference

29 July 2017

1 reference