Prediction of protein folding rates from primary sequence by fusing multiple sequential features

Hong-Bin Shen; Jiangning Song; Kuo-Chen Chou

Prediction of protein folding rates from primary sequence by fusing multiple sequential features

Hong-Bin Shen, Jiangning Song, Kuo-Chen Chou

Research output: Contribution to journal › Article › Research › peer-review

Abstract

We have developed a web-server for predicting the folding rate of a protein based on its amino acid sequece information alone. The web-server is called Pred-PRF (Predicting Protein Folding Rate). Pred-PFR is featured by fusing multiple individual predictors, each of which is established based on one special feature derived from the protein sequence........

Original language	English
Pages (from-to)	136 - 143
Number of pages	8
Journal	Journal of Biomedical Science and Engineering
Volume	2
Publication status	Published - 2009
Externally published	Yes

Cite this

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title = "Prediction of protein folding rates from primary sequence by fusing multiple sequential features",

abstract = "We have developed a web-server for predicting the folding rate of a protein based on its amino acid sequece information alone. The web-server is called Pred-PRF (Predicting Protein Folding Rate). Pred-PFR is featured by fusing multiple individual predictors, each of which is established based on one special feature derived from the protein sequence........",

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AU - Shen, Hong-Bin

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AB - We have developed a web-server for predicting the folding rate of a protein based on its amino acid sequece information alone. The web-server is called Pred-PRF (Predicting Protein Folding Rate). Pred-PFR is featured by fusing multiple individual predictors, each of which is established based on one special feature derived from the protein sequence........

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VL - 2

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EP - 143

JO - Journal of Biomedical Science and Engineering

JF - Journal of Biomedical Science and Engineering

ER -

Prediction of protein folding rates from primary sequence by fusing multiple sequential features

Abstract

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