Macromolecular crystallography

dc.contributor.authorAfonine, Pavel V.
dc.contributor.authorAlbert, Armando
dc.contributor.authorDiederichs, Kay
dc.contributor.authorHermoso, Juan A.
dc.contributor.authorKrissinel, Eugene
dc.contributor.authorMárquez, José Antonio
dc.contributor.authorPanjikar, Santosh
dc.contributor.authorSolà, Maria
dc.contributor.authorThorn, Andrea
dc.contributor.authorUsón, Isabel
dc.date.accessioned2025-10-15T08:51:25Z
dc.date.available2025-10-15T08:51:25Z
dc.date.issued2025-10-09
dc.description.abstractCrystallography provides structural evidence of macromolecules in atomic detail. However, the atomic structure is not the direct outcome of the experiment. Diffraction data need to be processed and the phase problem must be solved to visualize the map from which an atomic model of the macromolecule is interpreted and iteratively improved. Despite this complex process from sample to scientific answer, crystallography is widely accessible in biochemical and biological research. Easy access to the experimental set-ups, free software for academic use and complimentary analytical computing, supported by automation and expert assistance, makes crystallography available to non-crystallographers. This Primer offers a practical and rational introduction to macromolecular crystallography, whether to engage directly or to critically assess results, with a focus on understanding the diffraction data, solving the phase problem, building and refining the atomic model, and interpreting the resulting atomic structure. We provide an overview of what crystallography can achieve, the key decisions and trade-offs involved, and how to evaluate outcomes effectively.
dc.description.versionpublisheddeu
dc.identifier.doi10.1038/s43586-025-00433-8
dc.identifier.ppn1950217353
dc.identifier.urihttps://kops.uni-konstanz.de/handle/123456789/74848
dc.language.isoeng
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dc.subject.ddc570
dc.titleMacromolecular crystallographyeng
dc.typeJOURNAL_ARTICLE
dspace.entity.typePublication
kops.citation.bibtex
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  title={Macromolecular crystallography},
  year={2025},
  doi={10.1038/s43586-025-00433-8},
  volume={5},
  journal={Nature Reviews Methods Primers},
  author={Afonine, Pavel V. and Albert, Armando and Diederichs, Kay and Hermoso, Juan A. and Krissinel, Eugene and Márquez, José Antonio and Panjikar, Santosh and Solà, Maria and Thorn, Andrea and Usón, Isabel},
  note={Author Correction: https://doi.org/10.1038/s43586-025-00449-0 Article Number: 64}
}
kops.citation.iso690AFONINE, Pavel V., Armando ALBERT, Kay DIEDERICHS, Juan A. HERMOSO, Eugene KRISSINEL, José Antonio MÁRQUEZ, Santosh PANJIKAR, Maria SOLÀ, Andrea THORN, Isabel USÓN, 2025. Macromolecular crystallography. In: Nature Reviews Methods Primers. Springer. 2025, 5, 64. eISSN 2662-8449. Verfügbar unter: doi: 10.1038/s43586-025-00433-8deu
kops.citation.iso690AFONINE, Pavel V., Armando ALBERT, Kay DIEDERICHS, Juan A. HERMOSO, Eugene KRISSINEL, José Antonio MÁRQUEZ, Santosh PANJIKAR, Maria SOLÀ, Andrea THORN, Isabel USÓN, 2025. Macromolecular crystallography. In: Nature Reviews Methods Primers. Springer. 2025, 5, 64. eISSN 2662-8449. Available under: doi: 10.1038/s43586-025-00433-8eng
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kops.description.commentAuthor Correction: https://doi.org/10.1038/s43586-025-00449-0
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kops.sourcefieldNature Reviews Methods Primers. Springer. 2025, <b>5</b>, 64. eISSN 2662-8449. Verfügbar unter: doi: 10.1038/s43586-025-00433-8deu
kops.sourcefield.plainNature Reviews Methods Primers. Springer. 2025, 5, 64. eISSN 2662-8449. Verfügbar unter: doi: 10.1038/s43586-025-00433-8deu
kops.sourcefield.plainNature Reviews Methods Primers. Springer. 2025, 5, 64. eISSN 2662-8449. Available under: doi: 10.1038/s43586-025-00433-8eng
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source.bibliographicInfo.articleNumber64
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source.periodicalTitleNature Reviews Methods Primers
source.publisherSpringer
temp.date.embargoEnd2026-05-01
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temp.internal.duplicatesitems/0ce2b6ae-3c1a-4a01-86de-038262ed36db;true;Update on the tutorial for learning and teaching macromolecular crystallography
temp.internal.duplicatesitems/357a5a32-e641-4b8b-97c1-8ca05468efcc;true;Computing in macromolecular crystallography using a parallel architecture
temp.internal.duplicatesitems/75235525-fe6d-4506-800c-462f55f675ad;true;Improved R-factors for diffraction data analysis in macromolecular crystallography
temp.internal.duplicatesitems/ec11f0cc-74e3-431c-ac10-a6145889ccf0;true;Fast and accurate data collection for macromolecular crystallography using the JUNGFRAU detector

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