English

Programs and algorithms for the shell decomposition of oscillating functions in space

Computational Engineering, Finance, and Science 2022-06-22 v1 Biological Physics

Abstract

Real-space refinement of atomic models in macromolecular crystallography or in cryo electron microscopy fits a model to a map obtained experimentally. This requires generating model maps of a limited resolution which moreover may vary from one molecular region to another. Calculating such map as a sum of atomic contributions requires that these contributions reflect the local resolution of the experimental map. A possibility to refine the parameters of these contribution means to express it as a function of atomic coordinates, displacement factor and eventually of resolution. Recently, Urzhumtsev & Lunin (BioRxiv, 10.1101/2022.03.28.486044) suggested to decompose finite-resolution atomic images, and more generally spherically symmetric oscillating functions in space, into a sum of specially designed terms analytically dependent on all atomic parameters. Each term is a spherically symmetric function concentrated in a spherical shell. Here we describe the software and respective algorithms to carry out such shell decomposition of oscillating functions.

Keywords

Cite

@article{arxiv.2206.08935,
  title  = {Programs and algorithms for the shell decomposition of oscillating functions in space},
  author = {Ludmila Urzhumtseva and Vladimir Y. Lunin and Alexandre Urzhumtsev},
  journal= {arXiv preprint arXiv:2206.08935},
  year   = {2022}
}
R2 v1 2026-06-24T11:55:26.645Z