scholarly journals Improving NMR protein structure quality by Rosetta refinement: A molecular replacement study

2008 ◽  
Vol 75 (1) ◽  
pp. 147-167 ◽  
Author(s):  
Theresa A. Ramelot ◽  
Srivatsan Raman ◽  
Alexandre P. Kuzin ◽  
Rong Xiao ◽  
Li-Chung Ma ◽  
...  
Nature ◽  
2011 ◽  
Vol 473 (7348) ◽  
pp. 540-543 ◽  
Author(s):  
Frank DiMaio ◽  
Thomas C. Terwilliger ◽  
Randy J. Read ◽  
Alexander Wlodawer ◽  
Gustav Oberdorfer ◽  
...  

2012 ◽  
Vol 68 (11) ◽  
pp. 1522-1534 ◽  
Author(s):  
Rojan Shrestha ◽  
David Simoncini ◽  
Kam Y. J. Zhang

Recent advancements in computational methods for protein-structure prediction have made it possible to generate the high-qualityde novomodels required forab initiophasing of crystallographic diffraction data using molecular replacement. Despite those encouraging achievements inab initiophasing usingde novomodels, its success is limited only to those targets for which high-qualityde novomodels can be generated. In order to increase the scope of targets to whichab initiophasing withde novomodels can be successfully applied, it is necessary to reduce the errors in thede novomodels that are used as templates for molecular replacement. Here, an approach is introduced that can identify and rebuild the residues with larger errors, which subsequently reduces the overall Cαroot-mean-square deviation (CA-RMSD) from the native protein structure. The error in a predicted model is estimated from the average pairwise geometric distance per residue computed among selected lowest energy coarse-grained models. This score is subsequently employed to guide a rebuilding process that focuses on more error-prone residues in the coarse-grained models. This rebuilding methodology has been tested on ten protein targets that were unsuccessful using previous methods. The average CA-RMSD of the coarse-grained models was improved from 4.93 to 4.06 Å. For those models with CA-RMSD less than 3.0 Å, the average CA-RMSD was improved from 3.38 to 2.60 Å. These rebuilt coarse-grained models were then converted into all-atom models and refined to produce improvedde novomodels for molecular replacement. Seven diffraction data sets were successfully phased using rebuiltde novomodels, indicating the improved quality of these rebuiltde novomodels and the effectiveness of the rebuilding process. Software implementing this method, calledMORPHEUS, can be downloaded from http://www.riken.jp/zhangiru/software.html.


IUCrJ ◽  
2021 ◽  
Vol 8 (2) ◽  
pp. 238-256
Author(s):  
Mariusz Jaskolski ◽  
Zbigniew Dauter ◽  
Ivan G. Shabalin ◽  
Miroslaw Gilski ◽  
Dariusz Brzezinski ◽  
...  

The appearance at the end of 2019 of the new SARS-CoV-2 coronavirus led to an unprecedented response by the structural biology community, resulting in the rapid determination of many hundreds of structures of proteins encoded by the virus. As part of an effort to analyze and, if necessary, remediate these structures as deposited in the Protein Data Bank (PDB), this work presents a detailed analysis of 81 crystal structures of the main protease 3CLpro, an important target for the design of drugs against COVID-19. The structures of the unliganded enzyme and its complexes with a number of inhibitors were determined by multiple research groups using different experimental approaches and conditions; the resulting structures span 13 different polymorphs representing seven space groups. The structures of the enzyme itself, all determined by molecular replacement, are highly similar, with the exception of one polymorph with a different inter-domain orientation. However, a number of complexes with bound inhibitors were found to pose significant problems. Some of these could be traced to faulty definitions of geometrical restraints for ligands and to the general problem of a lack of such information in the PDB depositions. Several problems with ligand definition in the PDB itself were also noted. In several cases extensive corrections to the models were necessary to adhere to the evidence of the electron-density maps. Taken together, this analysis of a large number of structures of a single, medically important protein, all determined within less than a year using modern experimental tools, should be useful in future studies of other systems of high interest to the biomedical community.


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.


2010 ◽  
Vol 66 (9) ◽  
pp. 1041-1042 ◽  
Author(s):  
Alexander Wlodawer ◽  
Jacek Lubkowski ◽  
Wladek Minor ◽  
Mariusz Jaskolski

While figures of speech are often useful and even educational, flashy titles combined with hyperbole and imprecise language can mislead or deceive non-specialist readers and should therefore be avoided. The possibility of such confusion exists when poorly defined terms like `structure quality' or `super-resolution' are used to describe a protein structure.


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.


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