Run adq_3OFG9ZHe (adq_3OFG9ZHe)
Status: FINISHED
Your PowerFit run has successfully completed.
Please cite the following papers in your work:
G.C.P. van Zundert, M. Trellet, J. Schaarschmidt, Z. Kurkcuoglu, M. David, M. Verlato, A. Rosato and A.M.J.J. Bonvin.
The DisVis and PowerFit web servers: Explorative and Integrative Modeling of Biomolecular Complexes. J. Mol. Biol., Advanced Online Publication (2016).

G.C.P. van Zundert and A.M.J.J. Bonvin (2015)
Fast and sensitive rigid-body fitting into cryo-EM density maps with PowerFit.
AIMS Biophysics 2, 73-87.
and add the following acknowledgment:
The FP7 WeNMR (project# 261572), H2020 West-Life (project# 675858), EOSC-hub (project# 777536) and the EGI-ACE (project# 101017567) European e-Infrastructure projects are acknowledged for the use of their web portals, which make use of the EGI infrastructure with the dedicated support of CESNET-MCC, INFN-PADOVA-STACK, INFN-LNL-2, NCG-INGRID-PT, TW-NCHC, CESGA, IFCA-LCG2, UA-BITP, SURFsara and NIKHEF, and the additional support of the national GRID Initiatives of Belgium, France, Italy, Germany, the Netherlands, Poland, Portugal, Spain, UK, Taiwan and the US Open Science Grid.
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Solutions
The table below lists the 15 best non-redundant solutions found by correlation score. The first column shows the rank, column 2 the correlation score, column 3 the Fisher z-score column 4 the zscore as factor of standard deviations (z/σ), and column 5 the sigma difference to the best fit. (see N. Volkmann 2009, and Van Zundert and Bonvin 2016).
Rank (N) Cross Correlation Score Fisher z-score z-score/σ Sigma difference
(z1-zN)/σ
1 0.401 0.425 33.8 0.00
Fit 1
Rank 1
Cross Correlation Score 0.401
Fisher z-score 0.425
z-score/σ 33.8
Sigma difference (zN-zN+1)/σ 0.00
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