scholarly journals Approaches toab initiomolecular replacement of α-helical transmembrane proteins

2017 ◽  
Vol 73 (12) ◽  
pp. 985-996 ◽  
Author(s):  
Jens M. H. Thomas ◽  
Felix Simkovic ◽  
Ronan Keegan ◽  
Olga Mayans ◽  
Chengxin Zhang ◽  
...  

α-Helical transmembrane proteins are a ubiquitous and important class of proteins, but present difficulties for crystallographic structure solution. Here, the effectiveness of theAMPLEmolecular replacement pipeline in solving α-helical transmembrane-protein structures is assessed using a small library of eight ideal helices, as well as search models derived fromab initiomodels generated both with and without evolutionary contact information. The ideal helices prove to be surprisingly effective at solving higher resolution structures, butab initio-derived search models are able to solve structures that could not be solved with the ideal helices. The addition of evolutionary contact information results in a marked improvement in the modelling and makes additional solutions possible.

2014 ◽  
Vol 70 (a1) ◽  
pp. C347-C347
Author(s):  
Jens Thomas ◽  
Ronan Keegan ◽  
Jaclyn Bibby ◽  
Martyn Winn ◽  
Olga Mayans ◽  
...  

Molecular Replacement (MR) is an increasingly popular route to protein structure solution. AMPLE[1] is a software pipeline that uses either cheaply obtained ab inito protein models, or NMR structures to extend the scope of MR, allowing it to solve entirely novel protein structures in a completely automated pipeline on a standard desktop computer. AMPLE employs a cluster-and-truncate approach, combined with multiple modes of side chain treatment, to analyse the candidate models and extract the consensual features most likely to solve the structure. The search models generated in this way are screened by MrBump using Phaser and Molrep and correct solutions are detected using main chain tracing and phase modification with Shelxe. AMPLE proved capable of processing rapidly obtained ab initio structure predictions into successful search models and more recently proved effective in assembling NMR structures for MR[2]. Coiled-coil proteins are a distinct class of protein fold whose structure solution by MR is not typically straightforward. We show here that AMPLE can quickly and routinely solve most coiled-coil structures using ab initio predictions from Rosetta. The predictions are generally not globally accurate, but by encompassing different degrees of truncation of clustered models, AMPLE succeeds by sampling across a range of search models. These sometimes succeed through capturing locally well-modelled conformations, but often simply contain small helical units. Remarkably, the latter regularly succeed despite out-of-register placement and poor MR statistics. We demonstrate that single structures derived from successful ensembles perform less well, and comparable ideal helices solve few targets. Thus, both modelling of distortions from ideal helical geometry and the ensemble nature of the search models contribute to success. AMPLE is a framework applicable to any set of input structures in which variability is correlated with inaccuracy. We also present preliminary data demonstrating structure solution of transmembrane helical structures using Rosetta modelling. We finally consider future sources of starting models which offer the hope that MR with AMPLE, in the absence of close homology between a known structure and the target, may soon be possible with larger proteins.


2015 ◽  
Vol 71 (2) ◽  
pp. 338-343 ◽  
Author(s):  
Ronan M. Keegan ◽  
Jaclyn Bibby ◽  
Jens Thomas ◽  
Dong Xu ◽  
Yang Zhang ◽  
...  

AMPLEclusters and truncatesab initioprotein structure predictions, producing search models for molecular replacement. Here, an interesting degree of complementarity is shown between targets solved using the differentab initiomodelling programsQUARKandROSETTA. Search models derived from either program collectively solve almost all of the all-helical targets in the test set. Initial solutions produced byPhaserafter only 5 min perform surprisingly well, improving the prospects forin situstructure solution byAMPLEduring synchrotron visits. Taken together, the results show the potential forAMPLEto run more quickly and successfully solve more targets than previously suspected.


2015 ◽  
Vol 71 (5) ◽  
pp. 1059-1067 ◽  
Author(s):  
Markus-Frederik Bohn ◽  
Celia A. Schiffer

High-throughput crystallographic approaches require integrated software solutions to minimize the need for manual effort.REdiiiis a system that allows fully automated crystallographic structure solution by integrating existing crystallographic software into an adaptive and partly autonomous workflow engine. The program can be initiated after collecting the first frame of diffraction data and is able to perform processing, molecular-replacement phasing, chain tracing, ligand fitting and refinement without further user intervention. Preset values for each software component allow efficient progress with high-quality data and known parameters. The adaptive workflow engine can determine whether some parameters require modifications and choose alternative software strategies in case the preconfigured solution is inadequate. This integrated pipeline is targeted at providing a comprehensive and efficient approach to screening for ligand-bound co-crystal structures while minimizing repetitiveness and allowing a high-throughput scientific discovery process.


2021 ◽  
Author(s):  
Thomas G. Flower ◽  
James H. Hurley

AbstractThe 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 β-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.


2020 ◽  
Vol 76 (12) ◽  
pp. 1192-1200
Author(s):  
K. Cowtan ◽  
S. Metcalfe ◽  
P. Bond

The aim of crystallographic structure solution is typically to determine an atomic model which accurately accounts for an observed diffraction pattern. A key step in this process is the refinement of the parameters of an initial model, which is most often determined by molecular replacement using another structure which is broadly similar to the structure of interest. In macromolecular crystallography, the resolution of the data is typically insufficient to determine the positional and uncertainty parameters for each individual atom, and so stereochemical information is used to supplement the observational data. Here, a new approach to refinement is evaluated in which a `shift field' is determined which describes changes to model parameters affecting whole regions of the model rather than individual atoms only, with the size of the affected region being a key parameter of the calculation which can be changed in accordance with the resolution of the data. It is demonstrated that this approach can improve the radius of convergence of the refinement calculation while also dramatically reducing the calculation time.


IUCrJ ◽  
2014 ◽  
Vol 1 (6) ◽  
pp. 387-392 ◽  
Author(s):  
Kevin Cowtan

The crystallographic structure solution of nucleotides and nucleotide complexes is now commonplace. The resulting electron-density maps are often poorer than for proteins, and as a result interpretation in terms of an atomic model can require significant effort, particularly in the case of large structures. While model building can be performed automatically, as with proteins, the process is time-consuming, taking minutes to days depending on the software and the size of the structure. A method is presented for the automatic building of nucleotide chains into electron density which is fast enough to be used in interactive model-building software, with extended chain fragments built around the current view position in a fraction of a second. The speed of the method arises from the determination of the `fingerprint' of the sugar and phosphate groups in terms of conserved high-density and low-density features, coupled with a highly efficient scoring algorithm. Use cases include the rapid evaluation of an initial electron-density map, addition of nucleotide fragments to prebuilt protein structures, and in favourable cases the completion of the structure while automated model-building software is still running. The method has been incorporated into theCootsoftware package.


2021 ◽  
Vol 77 (2) ◽  
pp. 131-141
Author(s):  
Iracema Caballero ◽  
Massimo D. Sammito ◽  
Pavel V. Afonine ◽  
Isabel Usón ◽  
Randy J. Read ◽  
...  

Detection of translational noncrystallographic symmetry (TNCS) can be critical for success in crystallographic phasing, particularly when molecular-replacement models are poor or anomalous phasing information is weak. If the correct TNCS is detected then expected intensity factors for each reflection can be refined, so that the maximum-likelihood functions underlying molecular replacement and single-wavelength anomalous dispersion use appropriate structure-factor normalization and variance terms. Here, an analysis of a curated database of protein structures from the Protein Data Bank to investigate how TNCS manifests in the Patterson function is described. These studies informed an algorithm for the detection of TNCS, which includes a method for detecting the number of vectors involved in any commensurate modulation (the TNCS order). The algorithm generates a ranked list of possible TNCS associations in the asymmetric unit for exploration during structure solution.


IUCrJ ◽  
2017 ◽  
Vol 4 (3) ◽  
pp. 291-300 ◽  
Author(s):  
Felix Simkovic ◽  
Sergey Ovchinnikov ◽  
David Baker ◽  
Daniel J. Rigden

Evolutionary pressure on residue interactions, intramolecular or intermolecular, that are important for protein structure or function can lead to covariance between the two positions. Recent methodological advances allow much more accurate contact predictions to be derived from this evolutionary covariance signal. The practical application of contact predictions has largely been confined to structural bioinformatics, yet, as this work seeks to demonstrate, the data can be of enormous value to the structural biologist working in X-ray crystallography, cryo-EM or NMR. Integrative structural bioinformatics packages such asRosettacan already exploit contact predictions in a variety of ways. The contribution of contact predictions begins at construct design, where structural domains may need to be expressed separately and contact predictions can help to predict domain limits. Structure solution by molecular replacement (MR) benefits from contact predictions in diverse ways: in difficult cases, more accurate search models can be constructed usingab initiomodelling when predictions are available, while intermolecular contact predictions can allow the construction of larger, oligomeric search models. Furthermore, MR using supersecondary motifs or large-scale screens against the PDB can exploit information, such as the parallel or antiparallel nature of any β-strand pairing in the target, that can be inferred from contact predictions. Contact information will be particularly valuable in the determination of lower resolution structures by helping to assign sequence register. In large complexes, contact information may allow the identity of a protein responsible for a certain region of density to be determined and then assist in the orientation of an available model within that density. In NMR, predicted contacts can provide long-range information to extend the upper size limit of the technique in a manner analogous but complementary to experimental methods. Finally, predicted contacts can distinguish between biologically relevant interfaces and mere lattice contacts in a final crystal structure, and have potential in the identification of functionally important regions and in foreseeing the consequences of mutations.


2013 ◽  
Vol 69 (11) ◽  
pp. 2194-2201 ◽  
Author(s):  
Jaclyn Bibby ◽  
Ronan M. Keegan ◽  
Olga Mayans ◽  
Martyn D. Winn ◽  
Daniel J. Rigden

AMPLEis a program developed for clustering and truncatingab initioprotein structure predictions into search models for molecular replacement. Here, it is shown that its core cluster-and-truncate methods also work well for processing NMR ensembles into search models.Rosettaremodelling helps to extend success to NMR structures bearing low sequence identity or high structural divergence from the target protein. Potential future routes to improved performance are considered and practical, general guidelines on usingAMPLEare provided.


IUCrJ ◽  
2015 ◽  
Vol 2 (2) ◽  
pp. 198-206 ◽  
Author(s):  
Jens M. H. Thomas ◽  
Ronan M. Keegan ◽  
Jaclyn Bibby ◽  
Martyn D. Winn ◽  
Olga Mayans ◽  
...  

Coiled-coil protein folds are among the most abundant in nature. These folds consist of long wound α-helices and are architecturally simple, but paradoxically their crystallographic structures are notoriously difficult to solve with molecular-replacement techniques. The programAMPLEcan solve crystal structures by molecular replacement usingab initiosearch models in the absence of an existent homologous protein structure.AMPLEhas been benchmarked on a large and diverse test set of coiled-coil crystal structures and has been found to solve 80% of all cases. Successes included structures with chain lengths of up to 253 residues and resolutions down to 2.9 Å, considerably extending the limits on size and resolution that are typically tractable byab initiomethodologies. The structures of two macromolecular complexes, one including DNA, were also successfully solved using their coiled-coil components. It is demonstrated that both theab initiomodelling and the use of ensemble search models contribute to the success ofAMPLEby comparison with phasing attempts using single structures or ideal polyalanine helices. These successes suggest that molecular replacement withAMPLEshould be the method of choice for the crystallographic elucidation of a coiled-coil structure. Furthermore,AMPLEmay be able to exploit the presence of a coiled coil in a complex to provide a convenient route for phasing.


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