Crystallographic molecular replacement using an in silico-generated search model of SARS-CoV-2 ORF8
Abstract
The majority of crystal structures are determined by the method of molecular replacement (MR). The range of application of MR is limited mainly by the need for an accurate search model. In most cases, pre-existing experimentally determined structures are used as search models. In favorable cases, ab initio predicted structures have yielded search models adequate for molecular replacement. The ORF8 protein of SARS-CoV-2 represents a challenging case for MR using an ab initio prediction because ORF8 has an all {beta}-sheet fold and few orthologs. We previously determined experimentally the structure of ORF8 using the single anomalous dispersion (SAD) phasing method, having been unable to find an MR solution to the crystallographic phase problem. Following a report of an accurate prediction of the ORF8 structure, we assessed whether the predicted model would have succeeded as an MR search model. A phase problem solution was found, and the resulting structure was refined, yielding structural parameters equivalent to the original experimental solution.
02 /Specification & Classification
Click any tag to browse matching papers- Organism
- Assay
- Research Focus
- Approach
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
- Artificial intelligence to solve the X-ray crystallography phase problem: a case study report.
I. Barbarin-Bocahu, M. GRAILLE·bioRxiv·Dec 14, 2021
- In the AlphaFold era, when is experimental phasing of protein crystals still required?
Ronan M. Keegan, Adam J. Simpkin, Daniel John Rigden·bioRxiv·Jul 19, 2024
- Possible Implications of AlphaFold2 for Crystallographic Phasing by Molecular Replacement
A. J. McCoy, M. D. Sammito, R. J. Read·bioRxiv·May 18, 2021
- AlphaFold Protein Structure Database for Sequence-Independent Molecular Replacement
- Bioinformatics techniques for efficient structure prediction of SARS-CoV-2 protein ORF7a via structure prediction approaches
A. Kazmi, M. Kazim, … R. P. Mainali·bioRxiv·Dec 3, 2022
- Modeling of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Proteins by Machine Learning and Physics-Based Refinement