DARA: a web server for rapid search of structural neighbours using solution small angle X-ray scattering data | Zendy

Alexey Kikhney | Zendy; Alejandro Panjkovich | Zendy; Anna Sokolova | Zendy; Dmitri I. Svergun | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

DARA: a web server for rapid search of structural neighbours using solution small angle X-ray scattering data

Author(s) -

Alexey Kikhney,

Alejandro Panjkovich,

Anna Sokolova,

Dmitri I. Svergun

Publication year - 2015

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btv611

Subject(s) - small angle x ray scattering , scattering , macromolecule , small angle scattering , crystallography , materials science , computer science , biological system , physics , optics , chemistry , biology , biochemistry

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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research