Can I solve my structure by SAD phasing? Planning an experiment, scaling data and evaluating the useful anomalous correlation and anomalous signal

By T. C. Terwilliger, G. Bunkoczi, Li-Wei Hung, Petrus H. Zwart, Janet L. Smith, D. Akey, Paul D. Adams. 2016

26 citations recorded by the source corpus.

Algorithms for evaluating and optimizing the useful anomalous correlation and the anomalous signal in a SAD data set are described.

Subfields: Clinical Biochemistry

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Pavel V. Afonine
2. D. Liebschner
3. Paul D. Adams
4. T. C. Terwilliger
5. G. Bunkoczi
6. T. Croll
7. Nigel W. Moriarty
8. Randy J. Read

Citations in the corpus

• Macromolecular structure determination using X-rays, neutrons and electrons: recent developments in Phenix (2019, methodology): “Plan SAD experiment (phenix.plan_sad_experiment) is a new tool for estimating the anomalous signal from a SAD experiment with a particular anomalous scatterer and data quality, and for predicting whether this signal would be sufficient to solve the structure (Terwilliger et al., 2016a,b).”
• Can I solve my structure by SAD phasing? Anomalous signal in SAD phasing (2016, background): “In the accompanying manuscript (Terwilliger et al., 2016), the application of the formulation to data sets for unsolved structures is described.”