ISOLDE: a physically realistic environment for model building into low‐resolution electron‐density maps
This paper introduces ISOLDE, a new software package designed to provide an intuitive environment for high‐fidelity interactive remodelling/refinement of macromolecular models into electron‐density maps. ISOLDE combines interactive molecular‐dynamics flexible fitting with modern molecular‐graphics v...
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Veröffentlicht in: | Acta crystallographica. Section D, Biological crystallography. Biological crystallography., 2018-06, Vol.74 (6), p.519-530 |
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Sprache: | eng |
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Zusammenfassung: | This paper introduces ISOLDE, a new software package designed to provide an intuitive environment for high‐fidelity interactive remodelling/refinement of macromolecular models into electron‐density maps. ISOLDE combines interactive molecular‐dynamics flexible fitting with modern molecular‐graphics visualization and established structural biology libraries to provide an immersive interface wherein the model constantly acts to maintain physically realistic conformations as the user interacts with it by directly tugging atoms with a mouse or haptic interface or applying/removing restraints. In addition, common validation tasks are accelerated and visualized in real time. Using the recently described 3.8 Å resolution cryo‐EM structure of the eukaryotic minichromosome maintenance (MCM) helicase complex as a case study, it is demonstrated how ISOLDE can be used alongside other modern refinement tools to avoid common pitfalls of low‐resolution modelling and improve the quality of the final model. A detailed analysis of changes between the initial and final model provides a somewhat sobering insight into the dangers of relying on a small number of validation metrics to judge the quality of a low‐resolution model.
ISOLDE is an interactive molecular‐dynamics environment for rebuilding models against experimental cryo‐EM or crystallographic maps. Analysis of its results reinforces the need for great care when validating models built into low‐resolution data. |
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ISSN: | 2059-7983 0907-4449 2059-7983 1399-0047 |
DOI: | 10.1107/S2059798318002425 |