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Features and development of Coot
Abstract
Coot is a molecular-graphics application for model building and validation of biological macromolecules. The program displays electron-density maps and atomic models and allows model manipulations such as idealization, real-space refinement, manual rotation/translation, rigid-body fitting, ligand search, solvation, mutations, rotamers and Ramachandran idealization. Furthermore, tools are provided for model validation as well as interfaces to external programs for refinement, validation and graphics. The software is designed to be easy to learn for novice users, which is achieved by ensuring that tools for common tasks are `discoverable' through familiar user-interface elements (menus and toolbars) or by intuitive behaviour (mouse controls). Recent developments have focused on providing tools for expert users, with customisable key bindings, extensions and an extensive scripting interface. The software is under rapid development, but has already achieved very widespread use within the crystallographic community. The current state of the software is presented, with a description of the facilities available and of some of the underlying methods employed.
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“Model geometries were assessed using the MolProbity module in Phenix, the Molprobity server68 (http://molprobity.biochem.duke.edu/), and the PDB Validation server69 (www.wwpdb.org).”
From Structural organization of the retriever–CCC endosomal recycling complex (2024) · cites this paper as [68]
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Coot : model-building tools for molecular graphics
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Metadata
- Authors
- Emsley, P., Lohkamp, B., Scott, W. G., & Cowtan, K.
- Venue
- Acta Crystallographica Section D Biological Crystallography
- Published
- 2010-03-24
- Volume
- 66
- Issue
- 4
- Pages
- 486-501
- ISSN
- 0907-4449
- PMC
- PMC2852313
- Cited by
- 29,915
- References
- 1
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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