edoc

Statistically correcting dynamical electron scattering improves refinement of protein nanocrystals, including charge refinement of coordinated metals

Blum, Thorsten B. and Housset, Dominique and Clabbers, Max T. B. and van Genderen, Eric and Bacia-Verloop, Maria and Zander, Ulrich and McCarthy, Andrew A. and Schoehn, Guy and Li Ling, Wai and Abrahams, Jan Pieter. (2020) Statistically correcting dynamical electron scattering improves refinement of protein nanocrystals, including charge refinement of coordinated metals.

[img] PDF
Restricted to Repository staff only

976Kb

Official URL: https://edoc.unibas.ch/94037/

Downloads: Statistics Overview

Abstract

Electron diffraction allows protein structure determination when only nanosized crystals are available. Nevertheless, multiple elastic (or dynamical) scattering, prominent in electron diffraction, is a concern. Current methods for modeling dynamical scattering by multi-slice or Bloch wave approaches are not suitable for protein crystals because they are not designed to cope with large molecules. Here, we limited dynamical scattering of nanocrystals of insulin, thermolysin, and thaumatin by collecting data from thin crystals. To accurately measure the weak diffraction signal from the few unit cells in the thin crystals, we used a low-noise hybrid-pixel Timepix electron counting detector. The remaining dynamical component was further reduced in refinement using a likelihood-based correction, which we introduced previously for analyzing electron diffraction data of small molecule nanocrystals and adapted here for protein crystals. We show that the procedure notably improved the structural refinement, allowing in one case the location of solvent molecules. It also allowed the refinement of the charge state of bound metal atoms, an important element in protein functions, through B-factor analysis of the metal atoms and their ligands. Our results clearly increase the value of macromolecular electron crystallography as a complementary structural biology technique.Competing Interest StatementThe authors have declared no competing interest.
Faculties and Departments:05 Faculty of Science > Departement Biozentrum > Structural Biology & Biophysics > Nano-diffraction of Biological Specimen (Abrahams)
UniBasel Contributors:Abrahams, Jan Pieter
Item Type:Working Paper
Publisher:bioRxiv
Note:Publication type according to Uni Basel Research Database: Discussion paper / Internet publication
Language:English
Identification Number:
edoc DOI:
Last Modified:20 Mar 2023 08:20
Deposited On:20 Mar 2023 08:20

Repository Staff Only: item control page