DARA: a web server for rapid search of structural neighbours using solution small angle X-ray scattering data
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- Alexey G. Kikhney
- 1 European Molecular Biology Laboratory, Hamburg Outstation, EMBL c/o DESY, 22607 Hamburg, Germany and
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- Alejandro Panjkovich
- 1 European Molecular Biology Laboratory, Hamburg Outstation, EMBL c/o DESY, 22607 Hamburg, Germany and
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- Dmitri I. Svergun
- 1 European Molecular Biology Laboratory, Hamburg Outstation, EMBL c/o DESY, 22607 Hamburg, Germany and
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- Anna V. Sokolova
- 2 Bragg Institute, ANSTO, Lucas Heights, 2234 NSW Australia
書誌事項
- 公開日
- 2015-10-25
- 権利情報
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- http://creativecommons.org/licenses/by/4.0/
- DOI
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- 10.1093/bioinformatics/btv611
- 公開者
- Oxford University Press (OUP)
この論文をさがす
説明
<jats:title>Abstract</jats:title> <jats:p>Motivation: Small angle X-ray scattering (SAXS) is an established method for studying biological macromolecules in solution, whereby the experimental scattering patterns relate to the quaternary and tertiary structure of the macromolecule. Here we present DARA, a web-server, that queries over 150 000 scattering profiles pre-computed from the high resolution models of macromolecules and biological assemblies in the Protein Data Bank, to rapidly find nearest neighbours of a given experimental or theoretical SAXS pattern. Identification of the best scattering equivalents provides a straightforward and automated way of structural assessment of macromolecules based on a SAXS profile. DARA results are useful e.g. for fold recognition and finding of biologically active oligomers.</jats:p> <jats:p>Availability and implementation: http://dara.embl-hamburg.de/</jats:p> <jats:p>Contact: svergun@embl-hamburg.de</jats:p>
収録刊行物
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- Bioinformatics
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Bioinformatics 32 (4), 616-618, 2015-10-25
Oxford University Press (OUP)
