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Detection of Protein Assemblies in Crystals

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Computational Life Sciences (CompLife 2005)

Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 3695))

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Abstract

The paper describes a new approach to the prediction of probable biological units from protein structures obtained by means of protein crystallography. The method first employs graph-theoretical technique in order to find all possible assemblies in crystal. In second step, found assemblies are analysed for chemical stability and only stable oligomers are left as a potential solution. We also discuss theoretical models for the assessment of protein affinity and entropy loss on complex formation, used in stability analysis.

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Author information

Authors and Affiliations

  1. European Bioinformatics Institute, Hinxton, Cambridge, CB10 1SD, UK

    Evgeny Krissinel & Kim Henrick

Authors
  1. Evgeny Krissinel
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  2. Kim Henrick
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Editor information

Editors and Affiliations

  1. Berkeley Initiative in Soft Computing (BISC), University of California at Berkeley, USA

    Michael R. Berthold

  2. Unilever Centre for Molecular Informatics, Department of Chemistry, Cambridge University, CB2 1EW, Cambridge, UK

    Robert C. Glen

  3. Department of Biology, University of Konstanz, Box M647, 78457, Konstanz, Germany

    Kay Diederichs

  4. Division for Simulation of Biological Systems, Center for Bioinformatics Tübingen, Eberhard Karls University Tübingen, 72076, Tübingen, Germany

    Oliver Kohlbacher

  5. ALTANA Chair for Bioinformatics and Information Mining, University of Konstanz, Germany

    Ingrid Fischer

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© 2005 Springer-Verlag Berlin Heidelberg

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Krissinel, E., Henrick, K. (2005). Detection of Protein Assemblies in Crystals. In: R. Berthold, M., Glen, R.C., Diederichs, K., Kohlbacher, O., Fischer, I. (eds) Computational Life Sciences. CompLife 2005. Lecture Notes in Computer Science(), vol 3695. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11560500_15

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  • DOI: https://doi.org/10.1007/11560500_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29104-6

  • Online ISBN: 978-3-540-31726-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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