PowerFit - Results adq

Run adq_3ODfnO2Y (adq_3ODfnO2Y)

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-z_N)/σ
1	0.096	0.096	18.9	0.00
2	0.085	0.086	16.8	2.07
3	0.071	0.071	14.0	4.88
4	0.071	0.071	13.8	5.01
5	0.069	0.069	13.5	5.37
6	0.068	0.069	13.4	5.43
7	0.068	0.068	13.3	5.51
8	0.068	0.068	13.3	5.53
9	0.068	0.068	13.2	5.60
10	0.067	0.067	13.2	5.63
11	0.067	0.067	13.2	5.64
12	0.067	0.067	13.1	5.71
13	0.067	0.067	13.1	5.73
14	0.067	0.067	13.1	5.79
15	0.066	0.066	12.9	5.93

Fit 1

Rank	1
Cross Correlation Score	0.096
Fisher z-score	0.096
z-score/σ	18.9
Sigma difference (z_N-z_N+1)/σ	0.00
PDB	Download

Fit 2

Rank	2
Cross Correlation Score	0.085
Fisher z-score	0.086
z-score/σ	16.8
Sigma difference (z_N-z_N+1)/σ	2.07
PDB	Download

Fit 3

Rank	3
Cross Correlation Score	0.071
Fisher z-score	0.071
z-score/σ	14.0
Sigma difference (z_N-z_N+1)/σ	4.88
PDB	Download

Fit 4

Rank	4
Cross Correlation Score	0.071
Fisher z-score	0.071
z-score/σ	13.8
Sigma difference (z_N-z_N+1)/σ	5.01
PDB	Download

Fit 5

Rank	5
Cross Correlation Score	0.069
Fisher z-score	0.069
z-score/σ	13.5
Sigma difference (z_N-z_N+1)/σ	5.37
PDB	Download

Fit 6

Rank	6
Cross Correlation Score	0.068
Fisher z-score	0.069
z-score/σ	13.4
Sigma difference (z_N-z_N+1)/σ	5.43
PDB	Download

Fit 7

Rank	7
Cross Correlation Score	0.068
Fisher z-score	0.068
z-score/σ	13.3
Sigma difference (z_N-z_N+1)/σ	5.51
PDB	Download

Fit 8

Rank	8
Cross Correlation Score	0.068
Fisher z-score	0.068
z-score/σ	13.3
Sigma difference (z_N-z_N+1)/σ	5.53
PDB	Download

Fit 9

Rank	9
Cross Correlation Score	0.068
Fisher z-score	0.068
z-score/σ	13.2
Sigma difference (z_N-z_N+1)/σ	5.60
PDB	Download

Fit 10

Rank	10
Cross Correlation Score	0.067
Fisher z-score	0.067
z-score/σ	13.2
Sigma difference (z_N-z_N+1)/σ	5.63
PDB	Download