摘要:
The present invention relates to methods of diffractometrically determining the structures of materials by characterizing their electron density distributions. More particularly, the present invention relates to methods of collecting, processing and interpreting X-ray diffraction data, which allow real time evaluation of the signal-to-noise ratio in crystal diffraction experiments. The present methods related to the derivation of statistical indices for monitoring and evaluating signal-to-noise ratios in diffraction experiments. In addition, the present invention provides methods of determining the electron density distributions of crystals using anomalous scattering signals corrected for noise. Further, the present invention provides methods of increasing the signal-to-noise ratios in X-ray diffraction data.
摘要:
Disclosed are high-throughput methods for determining crystal structures from X-ray diffraction data, for example high-throughput crystal structure determination methods employing flexible, high-throughput modular computational pipelines, such as Bioperl computational pipelines. High-throughput methods for determining crystal structures can be fully or partially automated, and can be fully or partially computer executed. Crystal structure determination methods employing a pipeline interface, work flow manager and/or output parsers can be used to optimize the amount of structural information derived from an X-ray diffraction data set and increase the efficiency of calculating crystal structures from X-ray diffraction data.