ArticleActa crystallographica. Section D, Structural biology2018
Multi-position data collection and dynamic beam sizing: recent improvements to the automatic data-collection algorithms on MASSIF-1.
Article in Acta crystallographica. Section D, Structural biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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24 citing papers in PubMed.
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- Current and future perspectives for structural biology at the Grenoble EPN campus: a comprehensive overview.Journal of synchrotron radiation · 2025Review
- Counter-diffusion studies of human transthyretin: the growth of high-quality crystals for X-ray and neutron crystallography.Journal of applied crystallography · 2025Article
- Specific radiation damage to halogenated inhibitors and ligands in protein-ligand crystal structures.Journal of applied crystallography · 2024Article
- SDU - software for high-throughput automated data collection at the Swiss Light Source.Journal of synchrotron radiation · 2023Article
- Determining biomolecular structures near room temperature using X-ray crystallography: concepts, methods and future optimization.Acta crystallographica. Section D, Structural biology · 2023Article
- Two Ligand-Binding Sites on SARS-CoV-2 Non-Structural Protein 1 Revealed by Fragment-Based X-ray Screening.International journal of molecular sciences · 2022Article
- Unravelling the Adaptation Mechanisms to High Pressure in Proteins.International journal of molecular sciences · 2022Article
- Conserved residues Glu37 and Trp229 play an essential role in protein folding of β-lactamase.The FEBS journal · 2021Article
- Article
- FragMAXapp: crystallographic fragment-screening data-analysis and project-management system.Acta crystallographica. Section D, Structural biology · 2021Article
- High resolution structure of human apolipoprotein (a) kringle IV type 2: beyond the lysine binding site.Journal of lipid research · 2020Article
- The Convergence of the Hedgehog/Intein Fold in Different Protein Splicing Mechanisms.International journal of molecular sciences · 2020Article
- Structural and functional comparison of fumarylacetoacetate domain containing protein 1 in human and mouse.Bioscience reports · 2020Article
- The structure of the cohesin ATPase elucidates the mechanism of SMC-kleisin ring opening.Nature structural & molecular biology · 2020Article
- Controlled dehydration, structural flexibility and gadolinium MRI contrast compound binding in the human plasma glycoprotein afamin.Acta crystallographica. Section D, Structural biology · 2019Article
- Article
- A comparative anatomy of protein crystals: lessons from the automatic processing of 56 000 samples.IUCrJ · 2019Article
- A crystal structure of the human protein kinase Mps1 reveals an ordered conformation of the activation loop.Proteins · 2019Article
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4 authors.
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Abstract
Macromolecular crystallography is now a mature and widely used technique that is essential in the understanding of biology and medicine. Increases in computing power combined with robotics have not only enabled large numbers of samples to be screened and characterized but have also enabled better decisions to be taken on data collection itself. This led to the development of MASSIF-1 at the ESRF, the first beamline in the world to run fully automatically while making intelligent decisions taking user requirements into account. Since opening in late 2014, the beamline has processed over 42 000 samples. Improvements have been made to the speed of the sample-handling robotics and error management within the software routines. The workflows initially put into place, while highly innovative at the time, have been expanded to include increased complexity and additional intelligence using the information gathered during characterization; this includes adapting the beam diameter dynamically to match the diffraction volume within the crystal. Complex multi-position and multi-crystal data collections have now also been integrated into the selection of experiments available. This has led to increased data quality and throughput, allowing even the most challenging samples to be treated automatically.
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