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.

Keywords

Computer scienceScripting languageSoftwareInterface (matter)Human–computer interactionGraphicsComputer graphics (images)Programming language

MeSH Terms

CrystallographyX-RayDNAModelsMolecularNucleic Acid ConformationProtein StructureTertiaryProteinsRNASoftware Design

Affiliated Institutions

Related Publications

Publication Info

Year
2010
Type
article
Volume
66
Issue
4
Pages
486-501
Citations
28132
Access
Closed

Social Impact

Altmetric

Social media, news, blog, policy document mentions

Citation Metrics

28132
OpenAlex
433
Influential

Cite This

Paul Emsley, Bernhard Lohkamp, W. G. Scott et al. (2010). Features and development of <i>Coot</i>. Acta Crystallographica Section D Biological Crystallography , 66 (4) , 486-501. https://doi.org/10.1107/s0907444910007493

Identifiers

DOI
10.1107/s0907444910007493
PMID
20383002
PMCID
PMC2852313

Data Quality

Data completeness: 86%