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Prediction of Contact Maps Using Modified Transiently Chaotic Neural Network

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Advances in Neural Networks - ISNN 2006 (ISNN 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3973))

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Abstract

Contact maps are considered one of the most useful strategic steps in protein folding recognition. And there are a variety of measures of residues contact used in the literature. In this paper, we address our question on using a transiently chaotic neural network to predict the contact maps and whether it is reasonable. Our results show that it is more successful that we predict proteins contact maps based on modified transiently chaotic neural network.

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© 2006 Springer-Verlag Berlin Heidelberg

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Liu, G., Zhu, Y., Zhou, W., Zhou, C., Wang, R. (2006). Prediction of Contact Maps Using Modified Transiently Chaotic Neural Network. In: Wang, J., Yi, Z., Zurada, J.M., Lu, BL., Yin, H. (eds) Advances in Neural Networks - ISNN 2006. ISNN 2006. Lecture Notes in Computer Science, vol 3973. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11760191_102

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  • DOI: https://doi.org/10.1007/11760191_102

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34482-7

  • Online ISBN: 978-3-540-34483-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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