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Challenge data set for macromolecular multi-microcrystallography

A synthetic data set demonstrating a particularly challenging case of indexing ambiguity in the context of radiation damage was generated. This set shall serve as a standard benchmark and reference point for the ongoing development of new methods and new approaches to robust structure solution when...

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Autor principal: Holton, James M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Union of Crystallography 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6400260/
https://www.ncbi.nlm.nih.gov/pubmed/30821701
http://dx.doi.org/10.1107/S2059798319001426
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author Holton, James M.
author_facet Holton, James M.
author_sort Holton, James M.
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description A synthetic data set demonstrating a particularly challenging case of indexing ambiguity in the context of radiation damage was generated. This set shall serve as a standard benchmark and reference point for the ongoing development of new methods and new approaches to robust structure solution when single-crystal methods are insufficient. Of the 100 short wedges of data, only the first 36 are currently necessary to solve the structure by ‘cheating’, or using the correct reference structure as a guide. The total wall-clock time and number of crystals required to solve the structure without cheating is proposed as a metric for the efficacy and efficiency of a given multi-crystal automation pipeline.
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spelling pubmed-64002602019-03-13 Challenge data set for macromolecular multi-microcrystallography Holton, James M. Acta Crystallogr D Struct Biol Research Papers A synthetic data set demonstrating a particularly challenging case of indexing ambiguity in the context of radiation damage was generated. This set shall serve as a standard benchmark and reference point for the ongoing development of new methods and new approaches to robust structure solution when single-crystal methods are insufficient. Of the 100 short wedges of data, only the first 36 are currently necessary to solve the structure by ‘cheating’, or using the correct reference structure as a guide. The total wall-clock time and number of crystals required to solve the structure without cheating is proposed as a metric for the efficacy and efficiency of a given multi-crystal automation pipeline. International Union of Crystallography 2019-02-06 /pmc/articles/PMC6400260/ /pubmed/30821701 http://dx.doi.org/10.1107/S2059798319001426 Text en © Holton 2019 http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution (CC-BY) Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are cited.http://creativecommons.org/licenses/by/4.0/
spellingShingle Research Papers
Holton, James M.
Challenge data set for macromolecular multi-microcrystallography
title Challenge data set for macromolecular multi-microcrystallography
title_full Challenge data set for macromolecular multi-microcrystallography
title_fullStr Challenge data set for macromolecular multi-microcrystallography
title_full_unstemmed Challenge data set for macromolecular multi-microcrystallography
title_short Challenge data set for macromolecular multi-microcrystallography
title_sort challenge data set for macromolecular multi-microcrystallography
topic Research Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6400260/
https://www.ncbi.nlm.nih.gov/pubmed/30821701
http://dx.doi.org/10.1107/S2059798319001426
work_keys_str_mv AT holtonjamesm challengedatasetformacromolecularmultimicrocrystallography