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Run rth_3XwWbRcd

Status: FINISHED

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The FP7 WeNMR (project# 261572), H2020 West-Life (project# 675858), the 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-LNL-2, NCG-INGRID-PT, TW-NCHC, CESGA, IFCA-LCG2, UA-BITP, TR-FC1-ULAKBIM, CSTCLOUD-EGI, IN2P3-CPPM, SURFsara and NIKHEF (NWO projects# 10236 and 17437), 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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Accessible Interaction Space

The accessible interaction space consistent with at least N restraints is depicted below. Use the slider to adjust N and the arrows on the side of the images to change the view.

14

Current Level (N): 2

Images were generated with UCSF Chimera.

Accessible Complexes

The table below lists the number of complexes consistent with at least N restraints as raw number and as fraction of all complexes.

z-Score

The table below features the z-Score for each restraint. The higher the score, the more likely the restraint is a false-positive. Z-scores above 1.0 are explicitly mentioned in the output of DisVis.

Violations

The table below shows how often a specific restraint is violated for complexes consistent with a number of restraints. The higher the violation fraction of a specific restraint, the more likely it is to be a false-positive. Column 1 shows the number of consistent restraints N, while each following column indicates the violation fractions of a specific restraint for complexes consistent with at least N restraints. Each row thus represents the fraction of all complexes consistent with at least N restraints that violated a particular restraint.

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This work is co-funded by the Horizon 2020 projects EOSC-hub and EGI-ACE (grant numbers 777536 and 101017567), BioExcel (grant numbers 823830, 675728 and 101093290)
and by a computing grant from NWO-ENW (project number 2019.053).