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Title: |
MESSM: a framework for protein fold recognition using Neural Networks and Support Vector Machines |
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Author: |
Nan Jiang, Wendy Wu, Ian Mitchell 
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Address: |
School of Computing Science, Middlesex University, London EN4 4BT, UK. ' School of Computing Science, Middlesex University, London EN4 4BT, UK. ' School of Computing Science, Middlesex University, London EN4 4BT, UK |
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Journal: |
International Journal of Bioinformatics Research and Applications 2006 - Vol. 2, No.4 pp. 381 - 393 |
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Abstract: |
A new framework (called MESSM) for protein fold recognition with three key features is proposed in this paper. Being tested on three benchmark problems, the results show that the MESSM has a comparable performance on fold recognition to those more computational intensive, energy potential based fold recognition models. The MESSM leads to a better performance on alignment accuracy. The MESSM presents a new way to develop an efficient tool for protein fold recognition. |
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Keywords: |
protein fold recognition; neural networks; NNs; support vector machines; SVMs; substitution matrix; energy potential; bioinformatics research; bioinformatics applications; high performance computing. |
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DOI: |
10.1504/IJBRA.2006.011037 |
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