ARCIMBOLDO
Crystallographic ab initio protein solution below atomic resolution. Ab initio macromolecular phasing has been traditionally limited to small proteins at atomic resolution (1.2 Å or better unless heavy atoms are present). ARCIMBOLDO constitutes a general method for 2 Å data, based on the combination of location of model fragments like small α-helices with PHASER and density modification with SHELXE. It is within CCP4 since January 2016.
Modes, all taking the same input (reflection data as .mtz and .hkl, plus a .bor configuration file):
- ARCIMBOLDO_LITE: simple, user-friendly implementation for straightforward cases; runs on all cores of a single machine, without requiring a grid, supercomputer or database.
- ARCIMBOLDO_BORGES: retrieves local polypeptide folds from the PDB (e.g. two helices or three strands in a particular disposition) and phases structures at 2 Å enforcing tertiary structure.
- ARCIMBOLDO_SHREDDER: structure solution using fragments derived from distant homologs or poor homology models, improved against the experimental data with PHASER’s rotation function and SHELXE; spherical and sequential modes.
- ARCIMBOLDO_LOW: phases challenging structures at low resolution and introduces verification, to assess the solution and the capacity of the data to establish it (e.g. coiled coils).
Basic Information
| Repository | https://pypi.org/project/arcimboldo/ |
| Documentation | http://chango.ibmb.csic.es/ |
| Main publication (DOI) |
10.1038/nmeth.1365
view 10.1107/S1399004715010846 view 10.1038/nmeth.2644 view 10.1111/febs.12897 view 10.1002/pro.5136 view |
| Contact email | bugs-borges@ibmb.csic.es |
| Authors/Maintainers | Isabel Uson Finkenzeller |
| Type of application | Command line pipeline, R/python package |
| Programming languages | Python |
| Keywords | Structural bioinformatics, Experimental structure determination, High-performance Computing |
Technical details
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| Software compatibility | Linux, Mac |
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Statistics
| Unique users (last 12 months) | |
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| Software downloads (last 12 months) | |
| Software downloads (since first release) | >10000 (73866 as of 15/10/2026) |
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| Repository clones (last 12 months) | |
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| Citations (last 12 months) | <100 (~4 as of 15/10/2026) |
| Citations (since first release) | 100-1000 (170 as of 15/10/2026) |
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