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Analogy-based protein structure prediction: I. A new database of spatially similar and dissimilar structures of protein domains for testing and optimizing prediction methods

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Abstract

The creation and analysis of the 3Dfold_test database are described. This database comprises a large set of pairs of spatially similar protein domain structures and a larger control set of “decoys,” spatially dissimilar protein structures with approximately the same size and compactness as each member of each pair. The database is available at http://phys.protres.ru/resources/prediction_analogy/3Dfold

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Abbreviations

AA:

is amino acid and

3D:

is three-dimensional

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Authors and Affiliations

  1. Institute of Protein Research, Russian Academy of Sciences, Pushchino, Moscow region, 142290, Russia

    M. Yu. Lobanov, N. S. Bogatyreva, D. N. Ivankov & A. V. Finkel’shtein

Authors
  1. M. Yu. Lobanov
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  2. N. S. Bogatyreva
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  3. D. N. Ivankov
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  4. A. V. Finkel’shtein
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Corresponding author

Correspondence to A. V. Finkel’shtein.

Additional information

Original Russian Text © M.Yu. Lobanov, N.S. Bogatyreva, D.N. Ivankov, A.V. Finkel’shtein, 2009, published in Molekulyarnaya Biologiya, 2009, Vol. 43, No. 4, pp. 722–732.

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Lobanov, M.Y., Bogatyreva, N.S., Ivankov, D.N. et al. Analogy-based protein structure prediction: I. A new database of spatially similar and dissimilar structures of protein domains for testing and optimizing prediction methods. Mol Biol 43, 665–676 (2009). https://doi.org/10.1134/S0026893309040190

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  • DOI: https://doi.org/10.1134/S0026893309040190

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