Ronan Keegan
Rutherford Appleton Laboratory
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Publication
Featured researches published by Ronan Keegan.
Acta Crystallographica Section D-biological Crystallography | 2011
Winn; Charles Ballard; Kevin Cowtan; Eleanor J. Dodson; Paul Emsley; Phil Evans; Ronan Keegan; Eugene Krissinel; Andrew G. W. Leslie; Airlie J. McCoy; Stuart McNicholas; Garib N. Murshudov; Navraj S. Pannu; Elizabeth Potterton; Harold R. Powell; Randy J. Read; A.A. Vagin; Keith S. Wilson
An overview of the CCP4 software suite for macromolecular crystallography is given.
Acta Crystallographica Section D-biological Crystallography | 2007
Ronan Keegan; Martyn Winn
A novel automation pipeline for macromolecular structure solution by molecular replacement is described. There is a special emphasis on the discovery and preparation of a large number of search models, all of which can be passed to the core molecular-replacement programs. For routine molecular-replacement problems, the pipeline automates what a crystallographer might do and its value is simply one of convenience. For more difficult cases, the pipeline aims to discover the particular template structure and model edits required to produce a viable search model and may succeed in finding an efficacious combination that would be missed otherwise. The pipeline is described in detail and a number of examples are given. The examples are chosen to illustrate successes in real crystallography problems and also particular features of the pipeline. It is concluded that exploring a range of search models automatically can be valuable in many cases.
Acta Crystallographica Section D-biological Crystallography | 2008
Ronan Keegan; Winn
An automation pipeline for macromolecular structure solution by molecular replacement with a special emphasis on the discovery and preparation of a large number of search models is described.
Acta Crystallographica Section D-biological Crystallography | 2012
Jaclyn Bibby; Ronan Keegan; Olga Mayans; Winn; Daniel J. Rigden
Protein ab initio models predicted from sequence data alone can enable the elucidation of crystal structures by molecular replacement. However, the calculation of such ab initio models is typically computationally expensive. Here, a computational pipeline based on the clustering and truncation of cheaply obtained ab initio models for the preparation of structure ensembles is described. Clustering is used to select models and to quantitatively predict their local accuracy, allowing rational truncation of predicted inaccurate regions. The resulting ensembles, with or without rapidly added side chains, solved 43% of all test cases, with an 80% success rate for all-α proteins. A program implementing this approach, AMPLE, is included in the CCP4 suite of programs. It only requires the input of a FASTA sequence file and a diffraction data file. It carries out the modelling using locally installed Rosetta, creates search ensembles and automatically performs molecular replacement and model rebuilding.
Journal of Virology | 2014
Jessica F. Bruhn; Katherine C. Barnett; Jaclyn Bibby; Jens M. H. Thomas; Ronan Keegan; Daniel J. Rigden; Zachary A. Bornholdt; Erica Ollmann Saphire
ABSTRACT The Nipah virus phosphoprotein (P) is multimeric and tethers the viral polymerase to the nucleocapsid. We present the crystal structure of the multimerization domain of Nipah virus P: a long, parallel, tetrameric, coiled coil with a small, α-helical cap structure. Across the paramyxoviruses, these domains share little sequence identity yet are similar in length and structural organization, suggesting a common requirement for scaffolding or spatial organization of the functions of P in the virus life cycle.
Acta Crystallographica Section D-biological Crystallography | 2008
Daniel J. Rigden; Ronan Keegan; Winn
The success of the molecular-replacement method for solving protein structures from experimental diffraction data depends on the availability of a suitable search model. Typically, this is derived from a previously solved structure, sometimes by homology modelling. Very recently, Baker, Read and coworkers have demonstrated a successful molecular-replacement case based on an ab initio model generated by ROSETTA [Qian et al. (2007), Nature (London), 450, 259-264]. In this contribution, a number of additional test cases in which ab initio models generated using modest computational resources give correct molecular-replacement solutions are reported. Unsuccessful cases are also reported for comparison and the factors influencing the success of this route to structure solution are discussed.
Acta Crystallographica Section D-biological Crystallography | 2011
Ronan Keegan; Fei Long; Vincent J. Fazio; Winn; Garib N. Murshudov; A.A. Vagin
The automated pipelines for molecular replacement MrBUMP and BALBES are reviewed, with an emphasis on understanding their output. Conclusions are drawn from their performance in extensive trials.
IUCrJ | 2015
Jens M. H. Thomas; Ronan Keegan; Jaclyn Bibby; Martyn Winn; Olga Mayans; Daniel J. Rigden
AMPLE solved 80% of a large set of coiled-coil protein targets of diverse architectures by molecular replacement with ab initio structure predictions. Successes included targets of up to 253 residues, cases of diffraction to only 2.9 Å resolution and macromolecular complexes containing proteins with other folds or DNA.
Acta Crystallographica Section D-biological Crystallography | 2006
Mohammad W. Bahar; C. C. Ballard; Serge X. Cohen; Kevin Cowtan; Eleanor J. Dodson; Paul Emsley; Robert M. Esnouf; Ronan Keegan; Victor S. Lamzin; Gerrit G. Langer; Vladimir M. Levdikov; Fei Long; Christoph Meier; Axel Müller; Garib N. Murshudov; Anastassis Perrakis; Christian Siebold; N. Stein; Maria Turkenburg; A.A. Vagin; Martyn Winn; Graeme Winter; Keith S. Wilson
The Structural Proteomics In Europe (SPINE) consortium contained a workpackage to address the automated X-ray analysis of macromolecules. The aim of this workpackage was to increase the throughput of three-dimensional structures while maintaining the high quality of conventional analyses. SPINE was able to bring together developers of software with users from the partner laboratories. Here, the results of a workshop organized by the consortium to evaluate software developed in the member laboratories against a set of bacterial targets are described. The major emphasis was on molecular-replacement suites, where automation was most advanced. Data processing and analysis, use of experimental phases and model construction were also addressed, albeit at a lower level.
Acta Crystallographica Section D Structural Biology | 2018
Liz Potterton; Jon Agirre; Charles Ballard; Kevin Cowtan; Eleanor J. Dodson; Phil Evans; Huw T. Jenkins; Ronan Keegan; Eugene Krissinel; Kyle Stevenson; Andrey A. Lebedev; Stuart McNicholas; Robert A. Nicholls; Martin Noble; Navraj S. Pannu; Christian Roth; George M. Sheldrick; Pavol Skubák; Johan P. Turkenburg; Ville Uski; Frank von Delft; David G. Waterman; Keith S. Wilson; Martyn Winn; Marcin Wojdyr
CCP4i2 is a graphical user interface to the CCP4 (Collaborative Computational Project, Number 4) software suite and a Python language framework for software automation.