Acta Crystallographica Section D Structural BiologyBioinformaticsPeer-reviewed journal article
Real-space quantum-based refinement for cryo-EM: Q|R#3
Lum Wang, Holger KruseiD, Oleg V. SoboleviD, Nigel W. MoriartyiD, Mark P. WalleriD, Pavel V. AfonineiD, Małgorzata BiczyskoiD
Abstract
Electron cryo-microscopy (cryo-EM) is fast becoming a major competitor to X-ray crystallography especially for large structures that are difficult or impossible to crystallize. While recent spectacular technology improvements are leading to significantly higher resolution of three-dimensional reconstructions, the average quality of cryo-EM maps is still on the low-resolution end of the range compared to crystallography. A long-standing challenge for atomic model refinement has been the production of stereochemically meaningful models for this resolution regime. Here we demonstrate how including accurate model geometry restraints derived from ab initio quantum-chemical calculations (HF-D3/6-31G) can improve the refinements of an example structure (chain A of 3j63). The robustness of the procedure is tested for additional structures with up to 7k atoms (3a5x, and chain C of 5fn5) by means of the less expensive semi-empirical (GFN1-xTB) model. Necessary algorithms enabling real-space quantum refinement are implemented in the latest version of qr.refine and are described herein. SynopsisThe implementation of quantum-based real-space refinement in qr.refine is described.
- assay: electronic health records
- research focus: protein structure prediction
- research focus: benchmarking
- research focus: software / tool
- approach: statistical model
- approach: experimental assay
- Citations
- 8
- FWCI
- 0.51
- Field percentile
- top 33%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Real-space refinement in Phenix for cryo-EM and crystallography
Pavel V. Afonine, Billy K. Poon, … Paul D. Adams·Acta Crystallographica Section D Structural BiologyPeer-reviewed·May 30, 2018
- Direct calculation of cryo EM and crystallographic model maps for real-space refinement
A. Urzhumtsev, L. Urzhumtseva, V. Y. Lunin·bioRxiv·Jul 17, 2022
- Cryo-EM structure and B-factorrefinement with ensemble representation
T. Cragnolini, J. Beton, M. Topf·bioRxiv·Jun 8, 2022
- Gentle and fast all-atom model refinement to cryo-EM densities via Bayes' approach
C. Blau, L. Yvonnesdotter, E. Lindahl·bioRxiv·Sep 30, 2022
- Including Crystallographic Symmetry in Quantum-based Refinement: Q|R#2
Min Zheng, Małgorzata Biczysko, … Pavel V. Afonine·Acta Crystallographica Section D Structural BiologyPeer-reviewed·Dec 20, 2019
- AQuaRef: Machine learning accelerated quantum refinement of protein structures
R.I. Zubatyuk, Małgorzata Biczysko, … Pavel V. Afonine·Nature CommunicationsPeer-reviewed·Oct 17, 2025