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Practical structure solution with ARCIMBOLDO

Since its release in September 2009, the structure-solution program ARCIMBOLDO, based on the combination of locating small model fragments such as polyalanine α-helices with density modification with the program SHELXE in a multisolution frame, has evolved to incorporate other sources of stereochemi...

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Autores principales: Rodríguez, Dayté, Sammito, Massimo, Meindl, Kathrin, de Ilarduya, Iñaki M., Potratz, Marianus, Sheldrick, George M., Usón, Isabel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Union of Crystallography 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3322593/
https://www.ncbi.nlm.nih.gov/pubmed/22505254
http://dx.doi.org/10.1107/S0907444911056071
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author Rodríguez, Dayté
Sammito, Massimo
Meindl, Kathrin
de Ilarduya, Iñaki M.
Potratz, Marianus
Sheldrick, George M.
Usón, Isabel
author_facet Rodríguez, Dayté
Sammito, Massimo
Meindl, Kathrin
de Ilarduya, Iñaki M.
Potratz, Marianus
Sheldrick, George M.
Usón, Isabel
author_sort Rodríguez, Dayté
collection PubMed
description Since its release in September 2009, the structure-solution program ARCIMBOLDO, based on the combination of locating small model fragments such as polyalanine α-helices with density modification with the program SHELXE in a multisolution frame, has evolved to incorporate other sources of stereochemical or experimental information. Fragments that are more sophisticated than the ubiquitous main-chain α-­helix can be proposed by modelling side chains onto the main chain or extracted from low-homology models, as locally their structure may be similar enough to the unknown one even if the conventional molecular-replacement approach has been unsuccessful. In such cases, the program may test a set of alternative models in parallel against a specified figure of merit and proceed with the selected one(s). Experimental information can be incorporated in three ways: searching within ARCIMBOLDO for an anomalous fragment against anomalous differences or MAD data or finding model fragments when an anomalous substructure has been determined with another program such as SHELXD or is subsequently located in the anomalous Fourier map calculated from the partial fragment phases. Both sources of information may be combined in the expansion process. In all these cases the key is to control the workflow to maximize the chances of success whilst avoiding the creation of an intractable number of parallel processes. A GUI has been implemented to aid the setup of suitable strategies within the various typical scenarios. In the present work, the practical application of ARCIMBOLDO within each of these scenarios is described through the distributed test cases.
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spelling pubmed-33225932012-04-16 Practical structure solution with ARCIMBOLDO Rodríguez, Dayté Sammito, Massimo Meindl, Kathrin de Ilarduya, Iñaki M. Potratz, Marianus Sheldrick, George M. Usón, Isabel Acta Crystallogr D Biol Crystallogr Research Papers Since its release in September 2009, the structure-solution program ARCIMBOLDO, based on the combination of locating small model fragments such as polyalanine α-helices with density modification with the program SHELXE in a multisolution frame, has evolved to incorporate other sources of stereochemical or experimental information. Fragments that are more sophisticated than the ubiquitous main-chain α-­helix can be proposed by modelling side chains onto the main chain or extracted from low-homology models, as locally their structure may be similar enough to the unknown one even if the conventional molecular-replacement approach has been unsuccessful. In such cases, the program may test a set of alternative models in parallel against a specified figure of merit and proceed with the selected one(s). Experimental information can be incorporated in three ways: searching within ARCIMBOLDO for an anomalous fragment against anomalous differences or MAD data or finding model fragments when an anomalous substructure has been determined with another program such as SHELXD or is subsequently located in the anomalous Fourier map calculated from the partial fragment phases. Both sources of information may be combined in the expansion process. In all these cases the key is to control the workflow to maximize the chances of success whilst avoiding the creation of an intractable number of parallel processes. A GUI has been implemented to aid the setup of suitable strategies within the various typical scenarios. In the present work, the practical application of ARCIMBOLDO within each of these scenarios is described through the distributed test cases. International Union of Crystallography 2012-04-01 2012-03-16 /pmc/articles/PMC3322593/ /pubmed/22505254 http://dx.doi.org/10.1107/S0907444911056071 Text en © Rodríguez et al. 2012 http://creativecommons.org/licenses/by/2.0/uk/ This is an open-access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are cited.
spellingShingle Research Papers
Rodríguez, Dayté
Sammito, Massimo
Meindl, Kathrin
de Ilarduya, Iñaki M.
Potratz, Marianus
Sheldrick, George M.
Usón, Isabel
Practical structure solution with ARCIMBOLDO
title Practical structure solution with ARCIMBOLDO
title_full Practical structure solution with ARCIMBOLDO
title_fullStr Practical structure solution with ARCIMBOLDO
title_full_unstemmed Practical structure solution with ARCIMBOLDO
title_short Practical structure solution with ARCIMBOLDO
title_sort practical structure solution with arcimboldo
topic Research Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3322593/
https://www.ncbi.nlm.nih.gov/pubmed/22505254
http://dx.doi.org/10.1107/S0907444911056071
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