Miguel Angel Gonzalez‡, Irina Safiulina‡, Arianna D'Angelo‡, Paolo Mutti‡, Jordi Bodera§, Gianluca Santoni§, Rudolf Dimper§, Jayesh Wagh§, Patrick Fuhrmann|, Paul Millar|, Krisztian Pozsa¶, Leonardo Sala¶, Alun Ashton¶, Giuseppe La Rocca#Corresponding author: Miguel Angel Gonzalez ( gonzalezm@ill.fr ) © Miguel Angel Gonzalez, Irina Safiulina, Arianna D'Angelo, Paolo Mutti, Jordi Bodera, Gianluca Santoni, Rudolf Dimper, Jayesh Wagh, Patrick Fuhrmann, Paul Millar, Krisztian Pozsa, Leonardo Sala, Alun Ashton, Giuseppe La Rocca. This is an open access preprint distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Citation:
Gonzalez MA, Safiulina I, D`Angelo A, Mutti P, Bodera J, Santoni G, Dimper R, Wagh J, Fuhrmann P, Millar P, Pozsa K, Sala L, Ashton A, La Rocca G (2023) Following biological processes combining small angle neutron and x-ray scattering and modelling techniques. ARPHA Preprints. https://doi.org/10.3897/arphapreprints.e116670 |  |
Small-angle scattering techniques are widely used in scientific communities to determine the shape, distribution, and uniformity of particles in solution. New developments and faster acquisition will also allow for tracking the dynamics of the particles themselves. Small-Angle X-ray or Neutron Scattering (SAXS or SANS, respectively) can be very effective tools for studying, for example, the time dependence of genome release from phages, investigating entire viral life cycles, or the assembly of macromolecular complexes, providing deep insights into infection pathways. Neutrons and X-rays can be applied in a complementary mode, as is the case for the joint SANS-SAXS proposal between the ESRF and the ILL.
This strategic plan aims to advance the field by providing an EOSC-based platform, enabling FAIR data and software, unified data processing pipelines featuring robust scaling algorithms for the two different sources, supporting reproducibility and automated validation, and integrating with other relevant structural databases (e.g., electron microscopy/tomography or protein structural and ligand databases).