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‘Meta’Approaches to Protein Structure Prediction

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Practical Bioinformatics

Part of the book series: Nucleic Acids and Molecular Biology ((NUCLEIC,volume 15))

The computational assignment of three-dimensional structures to newly determined protein sequences is becoming an increasingly important element in experimental structure determination and in structural genomics (Fischer et al. 2001a). In particular, fold-recognition methods aim to predict approximate three-dimensional (3D) models for proteins bearing no evident sequence similarity to any protein of known structure (see the review by Cymerman et al., this Vol.). The assignment is carried out by searching a library of known structures (usually obtained from the Protein Data Bank) for a compatible fold.

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Author information

Authors and Affiliations

  1. Bioinformatics Laboratory, International Institute of Molecular and Cell Biology in Warsaw, Trojdena 4, 02-109, Warsaw, Poland

    Dr. Janusz M. Bujnicki

  2. Bioinformatics, Dept. Computer Science, Ben Gurion University, 84015, Beer-Sheva, Israel

    Daniel Fischer

Authors
  1. Dr. Janusz M. Bujnicki
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  2. Daniel Fischer
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Editors and Affiliations

  1. International Institute of Molecular and Cell Biology in Warsaw, Trojdena 4, 02-109, Warsaw, Poland

    Janusz M. Bujnicki

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Bujnicki, J.M., Fischer, D. (2008). ‘Meta’Approaches to Protein Structure Prediction. In: Bujnicki, J.M. (eds) Practical Bioinformatics. Nucleic Acids and Molecular Biology, vol 15. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74268-5_2

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  • DOI: https://doi.org/10.1007/978-3-540-74268-5_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74267-8

  • Online ISBN: 978-3-540-74268-5

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