MESSM: a framework for protein fold recognition using Neural Networks and Support Vector Machines
by Nan Jiang, Wendy Wu, Ian Mitchell
International Journal of Bioinformatics Research and Applications (IJBRA), Vol. 2, No. 4, 2006

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.

Online publication date: Thu, 05-Oct-2006

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