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About Small Angle X-ray Scattering (SAXS) |
| SAXS experiment determines 1-dimensional structural information, termed SAXS profile, which is the scattering intensity of a molecule as a function of spatial frequency. The profile can be converted into a radial distribution function of the molecule with Fourier transform. The experiment is performed on a purified protein sample in solution, resulting in a data that is a rotational and conformational average (1 to 3 nm resolution). There are practically no limitations on molecules sizes [4-9]. There are two major approaches to structure prediction using the scattering profile: (i) ab initio methods vs. (ii) rigid body modeling. If the structure of the assembly or its individual subunits is not available, only ab initio methods can be used. If the structure of the assembly or its components is known, rigid body modeling methods can be applied. In rigid body modeling, atomic resolution models for the studied assembly are generated by docking methods, and the theoretical scattering profile of the models is compared to the experimental one. |
FoXS |
| FoXS is a method for computing a theoretical scattering profile of a structure and fitting of experimental profile [1]. FoXS can be used as a basic tool for numerous structural modeling applications with SAXS data:
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The input to the webserver is a PDB format file and experimental SAXS profile
(if available). FoXS computes the theoretical profile and outputs it
as a text file and as a plot of intensity (log scale) vs. q. The
profile is computed using Debye formula for spherical scatterers [3].
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where fi(q) and fj(q) represent the isotropic atomic form factors of the atoms i and j, and dij is the Euclidean distance between these atoms. If experimental SAXS profile is available, FoXS will fit the theoretical profile to the experimental one. The quality of the fit is measured by &chi function.
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where c is a scaling parameter and &sigma is the expeirmental error. |
MES |
| If multiple PDB files were uploaded, the user will be offered an option to search for the minimal ensemble. Minimal Ensemble Search (MES) is an algorithm which searches for the minimal ensemble of the conformations from the pool of all input conformations using genetic algorithm. The multiconformational scattering, I(q), from such a minimal ensemble is computed as a weighted average of the individual scattering patterns from the conformers [2]. The method is very useful in cases of flexible multi-domain proteins or mixtures (for example proteins that exist as a mixture of monomers and dimers in solution). |
References |
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