Publications by authors named "Bernard Lavault"

Article Synopsis
  • A new version of Table 2 has been created, improving upon the original data presented by Nanao et al. in their 2022 study.
  • This revision offers updated information, potentially enhancing clarity and accuracy.
  • The reference for the original work is to be found in the journal "Journal of Synchrotron Radiation," volume 29, pages 581-590.
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ID23-2 is a fixed-energy (14.2 keV) microfocus beamline at the European Synchrotron Radiation Facility (ESRF) dedicated to macromolecular crystallography. The optics and sample environment have recently been redesigned and rebuilt to take full advantage of the upgrade of the ESRF to the fourth generation Extremely Brilliant Source (ESRF-EBS).

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The design and features of a beamline control software system for macromolecular crystallography (MX) experiments developed at the European Synchrotron Radiation Facility (ESRF) are described. This system, MxCuBE, allows users to easily and simply interact with beamline hardware components and provides automated routines for common tasks in the operation of a synchrotron beamline dedicated to experiments in MX. Additional functionality is provided through intuitive interfaces that enable the assessment of the diffraction characteristics of samples, experiment planning, automatic data collection and the on-line collection and analysis of X-ray emission spectra.

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Dehydration of protein crystals is rarely used, despite being a post-crystallization method that is useful for the improvement of crystal diffraction properties, as it is difficult to reproduce and monitor. A novel device for hydration control of macromolecular crystals in a standard data-collection environment has been developed. The device delivers an air stream of precise relative humidity that can be used to alter the amount of water in macromolecular crystals.

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A method is presented to automatically locate a crystal and its holder for centring on a goniometer spindle and alignment with an X-ray beam. Here, a novel algorithm that has been developed and tested with the images of users' crystals saved in an annotated database is described. The algorithm improves on the difficult situations that are commonly observed and poorly handled by the first-generation crystal-centring algorithms.

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Structural proteomics has promoted the rapid development of automated protein structure determination using X-ray crystallography. Robotics are now routinely used along the pipeline from genes to protein structures. However, a bottleneck still remains.

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The production of three-dimensional crystallographic structural information of macromolecules can now be thought of as a pipeline which is being streamlined at every stage from protein cloning, expression and purification, through crystallisation to data collection and structure solution. Synchrotron X-ray beamlines are a key section of this pipeline as it is at these that the X-ray diffraction data that ultimately leads to the elucidation of macromolecular structures are collected. The burgeoning number of macromolecular crystallography (MX) beamlines available worldwide may be enhanced significantly with the automation of both their operation and of the experiments carried out on them.

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