Feature Dimension Reduction Algorithm Based Prediction Method for Protein Quaternary Structure

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Author(s)

Tong Wang 1,* Tian Xia 1 Xiaoxia Cao 1

1. Shanghai Second Polytechnic University, Shanghai, 201209, China

* Corresponding author.

DOI: https://doi.org/10.5815/ijwmt.2012.05.04

Received: 5 Jun. 2012 / Revised: 19 Jul. 2012 / Accepted: 3 Sep. 2012 / Published: 15 Oct. 2012

Index Terms

PSSM, Protein Quaternary Structure, Feature Dimension Reduction

Abstract

Knowing the quaternary structure of an uncharacterized protein often provides useful clues for finding its biological function and interaction process with other molecules in a biological system. Here, dimensionality reduction algorithm is introduced to predict the quaternary structure of proteins. Our jackknife test results indicate that it is very promising to use the dimensionality reduction approaches to cope with complicated problems in biological systems, such as predicting the quaternary structure of proteins.

Cite This Paper

Tong Wang, Tian Xia, Xiaoxia Cao,"Feature Dimension Reduction Algorithm Based Prediction Method for Protein Quaternary Structure", IJWMT, vol.2, no.5, pp.28-33, 2012. DOI: 10.5815/ijwmt.2012.05.04

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