SAXSTER is a new algorithm to combine small-angle x-ray scattering (SAXS)
data and threading for high-resolution protein structure determination.
Given a query sequence, SAXSTER first generates a list of
template alignments using the MUSTER threading program from the PDB library.
The SAXS data will then be used to prioritize the best template alignments
based on the SAXS profile match, which are finally used for full-length atomic
protein structure construction.
about the server...
The input to the server includes a query sequence and a set of SAXS raw data.
The output includes (An example for SAXSTER output for reciprocal space and for real space):
Input 1: Query Sequence
- Secondary structure prediction of the query protein;
- Top 10 threading templates and the alignments;
- Top 10 full-atomic models of the query protein;
- Top 10 SAXS profiles from templates structures.
M. dos Reis, R. Aparicio and Y. Zhang.
Improving protein template recognition by using small angle X-ray scattering profiles.
Biophysical Journal v101, 2770-2781 (2011).
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