Abstract
We used Artificial Neural Network for protein loop classification based on the amino acid sequence alone. A new algorithm recently proposed, the Hidden Layer Learning Vector Quantization (HLVQ) was used and its accuracy compared with traditional Multilayer Preceptrons (MLP). The HLVQ algorithm achieved superior accuracy correctly classifying most loops.
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© 2005 Springer-Verlag Berlin Heidelberg
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Vieira, A., Oliva, B. (2005). Protein Loop Classification Using Artificial Neural Networks. In: Setubal, J.C., Verjovski-Almeida, S. (eds) Advances in Bioinformatics and Computational Biology. BSB 2005. Lecture Notes in Computer Science(), vol 3594. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11532323_28
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DOI: https://doi.org/10.1007/11532323_28
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28008-8
Online ISBN: 978-3-540-31861-3
eBook Packages: Computer ScienceComputer Science (R0)