Please use this identifier to cite or link to this item: http://hdl.handle.net/2381/43273
Title: Pathological macromolecular crystallographic data affected by twinning, partial-disorder and exhibiting multiple lattices for testing of data processing and refinement tools.
Authors: Campeotto, I
Lebedev, A
Schreurs, AMM
Kroon-Batenburg, LMJ
Lowe, E
Phillips, SEV
Murshudov, GN
Pearson, AR
First Published: 5-Oct-2018
Publisher: Nature Research (part of Springer Nature)
Citation: Scientific Reports, 2018, 8, Article number: 14876
Abstract: Twinning is a crystal growth anomaly, which has posed a challenge in macromolecular crystallography (MX) since the earliest days. Many approaches have been used to treat twinned data in order to extract structural information. However, in most cases it is usually simpler to rescreen for new crystallization conditions that yield an untwinned crystal form or, if possible, collect data from non-twinned parts of the crystal. Here, we report 11 structures of engineered variants of the E. coli enzyme N-acetyl-neuraminic lyase which, despite twinning and incommensurate modulation, have been successfully indexed, solved and deposited. These structures span a resolution range of 1.45-2.30 Å, which is unusually high for datasets presenting such lattice disorders in MX and therefore these data provide an excellent test set for improving and challenging MX data processing programs.
DOI Link: 10.1038/s41598-018-32962-6
eISSN: 2045-2322
Links: https://www.nature.com/articles/s41598-018-32962-6
http://hdl.handle.net/2381/43273
Version: Publisher Version
Status: Peer-reviewed
Type: Journal Article
Rights: Copyright © the authors, 2018. This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Description: The datasets (raw difraction images) discussed in this manuscript have been deposited in the publicly available database zenodo at, https://doi.org/ 10.5281/zenodo.54568 and 10.5281/zenodo.1240503. Structural models and processed structure factor data deposited in the PDB are available under the accession codes given in Table 1, with the exception of dataset Y137A, as the R factor indices were not satisfactory for PDB deposition.
Appears in Collections:Published Articles, Dept. of Cancer Studies and Molecular Medicine



Items in LRA are protected by copyright, with all rights reserved, unless otherwise indicated.