Evidence map›Paper›PMID 29872003›Full record

ArticleActa crystallographica. Section D, Structural biology2018

ISOLDE: a physically realistic environment for model building into low-resolution electron-density maps.

Tristan Ian Croll

Abstract read
In one paragraph

Article in Acta crystallographica. Section D, Structural biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1,443 papers.

0numbers the graph read from it
0cells of the map it votes in
1,443citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1,443 citing papers in PubMed.

  1. High resolution cryo-EM structure of theJournal of structural biology: X · 2026
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  11. The lower γ region supports forward rotation in the latter half of the 80° substep of FProtein science : a publication of the Protein Society · 2026
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1,383 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Tristan Ian CrollCambridge Institute for Medical Research, University of Cambridge, Wellcome Trust/MRC Building, Cambridge CB2 0XY, England.

Funding

Wellcome TrustWellcome Trust 082961/Z/07/Z
6 · The paper itself

Abstract

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.

Indexed as

Models, MolecularSoftwareComputer SimulationCryoelectron MicroscopyData AccuracyFungal ProteinsMacromolecular SubstancesMinichromosome Maintenance ProteinsMolecular Dynamics SimulationValidation Studies as TopicFungal ProteinsMacromolecular SubstancesMinichromosome Maintenance ProteinsISOLDEmodel buildingmolecular dynamicsreal-space refinementvisualization

Identifiers

PMID29872003
PMCPMC6096486

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.