# PowerFit web portal 2.0

**URL:** <https://ask.bioexcel.eu/t/powerfit-web-portal-2-0/256>\
**Category:** POWERFIT\
**Created:** [December 5, 2016, 3:20pm UTC](https://ask.bioexcel.eu/t/powerfit-web-portal-2-0/256 "2016-12-05T15:20:45Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![J.Schaarschmidt](https://avatars.discourse-cdn.com/v4/letter/j/77aa72/32.png) [@J.Schaarschmidt](https://ask.bioexcel.eu/u/J.Schaarschmidt)\
**Post date:** [December 5, 2016, 3:20pm UTC](https://ask.bioexcel.eu/t/powerfit-web-portal-2-0/256/1 "2016-12-05T15:20:45Z")

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In connection with the publication of the PowerFit and DisVis webserver in the Journal of Molecular Biology (“The DisVis and PowerFit web servers: Explorative and Integrative Modeling of Biomolecular Complexes” in press) we have all updated the PowerFit web server. The update includes:

- Improved post-processing and result presentation (colour highlighting, case-dependant messages, etc.)
- Sigma difference to the best fit on the result page as measure of the quality of the fir
- tag feature to easily identify your run
- provision of a json file for each run capturing the key parameters
- Extended information on the help/manual page
- More detailed examples
- mmCIF support
- …

See for yourself at [http://milou.science.uu.nl/services/PowerFit/](http://milou.science.uu.nl/services/PowerFit/)

The PowerFit support team

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**Author:** ![amjjbonvin](https://dub1.discourse-cdn.com/flex013/user_avatar/ask.bioexcel.eu/amjjbonvin/32/23_2.png) [@amjjbonvin](https://ask.bioexcel.eu/u/amjjbonvin)\
**Post date:** [September 7, 2016, 10:17am UTC](https://ask.bioexcel.eu/t/powerfit-web-portal-2-0/256/2 "2016-09-07T10:17:21Z")

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We are glad to announce the release of our POWERFIT web server.

PowerFit automatically fits high-resolution atomic structures in cryo-EM densities. To this end it performs a full-exhaustive 6-dimensional cross-correlation search between the atomic structure and the density. It takes as input an atomic structure in PDB-format and a cryo-EM density with its resolution; and outputs positions and rotations of the atomic structure corresponding to high correlation values. PowerFit uses the local cross-correlation function as its base score, enhanced by a Laplace pre-filter and/or core-weighting to minimize overlapping densities from neighboring subunits.

Read more about PowerFit in the following publications:

- G.C.P. van Zundert and A.M.J.J. Bonvin. Fast and sensitive rigid-body fitting into cryo-EM density maps with PowerFit. AIMS Biophysics. 2, 73-87 (2015).

- G.C.P van Zundert and A.M.J.J. Bonvin. Defining the limits and reliability of rigid-body fitting in cryo-EM maps using multi-scale image pyramids. J. Struct. Biol., 195, 252-258 (2016).

POWERFIT is also freely available for local installation through our GitHub repository: [https://github.com/haddocking/powerfit](https://github.com/haddocking/powerfit). A Docker container is available from the INDIGO-Datacloud repository: [https://github.com/indigo-dc/docker-powerfit](https://github.com/indigo-dc/docker-powerfit).

The POWERFIT web server is powered by EGI ([www.egi.eu](http://www.egi.eu)) GPGPU HTC resources.

Its development was made possible with support from various grants:

Netherlands Organization for Scientific Research (NWO), ECHO grant no.711.011.009  
European H2020 e-Infrastructure grant, EGI-Engage, grant no. 654142  
European H2020 e-Infrastructure grant, INDIGO-DataCloud, grant no. 653549  
European H2020 e-Infrastructure grant, West-Life VRE, grant no. 675858  
European H2020 e-Infrastructure grant, BioExcel, grant no. 675728