ArticleActa crystallographica. Section D, Structural biology2016
Can I solve my structure by SAD phasing? Planning an experiment, scaling data and evaluating the useful anomalous correlation and anomalous signal.
Article in Acta crystallographica. Section D, Structural biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Structural insights into i-motif DNA structures in sequences from the insulin-linked polymorphic region.Nature communications · 2024Article
- Application of sulfur SAD to small crystals with a large asymmetric unit and anomalous substructure.Acta crystallographica. Section D, Structural biology · 2022Article
- Native SAD phasing at room temperature.Acta crystallographica. Section D, Structural biology · 2022Article
- Article
- Likelihood-based estimation of substructure content from single-wavelength anomalous diffraction (SAD) intensity data.Acta crystallographica. Section D, Structural biology · 2021Article
- Towards the automation of in situ experimental phasing.Acta crystallographica. Section D, Structural biology · 2020Article
- High-throughput in situ experimental phasing.Acta crystallographica. Section D, Structural biology · 2020Article
- Article
- Macromolecular structure determination using X-rays, neutrons and electrons: recent developments in Phenix.Acta crystallographica. Section D, Structural biology · 2019Article
- Structure, Function, and Dynamics of the Gα Binding Domain of Ric-8A.Structure (London, England : 1993) · 2019Article
- Article
- Cadmium SAD phasing at CuKα wavelength.F1000Research · 2019Article
- Sample manipulation and data assembly for robust microcrystal synchrotron crystallography.IUCrJ · 2018Article
- An introduction to experimental phasing of macromolecules illustrated by SHELX; new autotracing features.Acta crystallographica. Section D, Structural biology · 2018Article
- Maximum-likelihood determination of anomalous substructures.Acta crystallographica. Section D, Structural biology · 2018Article
- Biochemical and Structural Characterization of the Carbohydrate Transport Substrate-binding-protein SP0092.Journal of visualized experiments : JoVE · 2017Article
- Can I solve my structure by SAD phasing? Anomalous signal in SAD phasing.Acta crystallographica. Section D, Structural biology · 2016Article
- Efficient merging of data from multiple samples for determination of anomalous substructure.Acta crystallographica. Section D, Structural biology · 2016Article
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7 authors.
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Abstract
A key challenge in the SAD phasing method is solving a structure when the anomalous signal-to-noise ratio is low. Here, algorithms and tools for evaluating and optimizing the useful anomalous correlation and the anomalous signal in a SAD experiment are described. A simple theoretical framework [Terwilliger et al. (2016), Acta Cryst. D72, 346-358] is used to develop methods for planning a SAD experiment, scaling SAD data sets and estimating the useful anomalous correlation and anomalous signal in a SAD data set. The phenix.plan_sad_experiment tool uses a database of solved and unsolved SAD data sets and the expected characteristics of a SAD data set to estimate the probability that the anomalous substructure will be found in the SAD experiment and the expected map quality that would be obtained if the substructure were found. The phenix.scale_and_merge tool scales unmerged SAD data from one or more crystals using local scaling and optimizes the anomalous signal by identifying the systematic differences among data sets, and the phenix.anomalous_signal tool estimates the useful anomalous correlation and anomalous signal after collecting SAD data and estimates the probability that the data set can be solved and the likely figure of merit of phasing.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.