MESSM: a framework for protein fold recognition using neural networks and support vector machines.
Mitchell, Ian and Jiang, Nan and Wu, Wendy Xinyu (2006) MESSM: a framework for protein fold recognition using neural networks and support vector machines. International Journal of Bioinformatics Research and Applications, 2 (4). pp. 381-393. ISSN 1744-5493
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This paper presents the results of a PhD project that developed a framework, known as MESSM, for protein fold recognition. The framework has 3 key features: i) an environment-specific amino acid substitution is generated, ii) a mixed substitution mapping is performed by linearly combining the structurally derived substitution mapping with a sequence profile from well-developed amino acid substitution matrices, iii) Support Vector Machines are employed to measure the significance of the sequence-structure alignment. Tested on benchmark problems, MESSM was shown to lead to a better performance of alignment accuracy.
|Research Areas:||A. > School of Science and Technology > Computer Science
A. > School of Science and Technology > Computer Science > Artificial Intelligence group
|Depositing User:||Repository team|
|Date Deposited:||17 Oct 2008 14:56|
|Last Modified:||13 Oct 2016 14:11|
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