Abstract
This is a review of neural network applications in bioinformatics. In particular, the applications to protein structure prediction are discussed here. Examples of such applications are prediction of secondary structures, prediction of surface structure, fold class recognition and prediction of the 3-dimensional structure of protein backbones.
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© 1999 Springer-Verlag
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Bohr, H.G. (1999). Neural networks for protein structure prediction. In: Clark, J.W., Lindenau, T., Ristig, M.L. (eds) Scientific Applications of Neural Nets. Lecture Notes in Physics, vol 522. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0104281
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DOI: https://doi.org/10.1007/BFb0104281
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