ArticleProtein science : a publication of the Protein Society2021
Iris: Interactive all-in-one graphical validation of 3D protein model iterations.
Article in Protein science : a publication of the Protein Society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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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.
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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.
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Who cites it
7 citing papers in PubMed.
- Structure of human aldehyde oxidase under tris(2-carboxyethyl)phosphine reducing conditions.Acta crystallographica. Section F, Structural biology communications · 2026Article
- Crystallization and 1.6 Å resolution crystal structure of an acylated GLP-1/GIP analogue peptide.Acta crystallographica. Section F, Structural biology communications · 2026Article
- Predicted models and CCP4.Acta crystallographica. Section D, Structural biology · 2023Article
- The CCP4 suite: integrative software for macromolecular crystallography.Acta crystallographica. Section D, Structural biology · 2023Article
- A Guide to In Silico Drug Design.Pharmaceutics · 2022Review
- Using deep-learning predictions of inter-residue distances for model validation.Acta crystallographica. Section D, Structural biology · 2022Article
- Iris: Interactive all-in-one graphical validation of 3D protein model iterations.Protein science : a publication of the Protein Society · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Iris validation is a Python package created to represent comprehensive per-residue validation metrics for entire protein chains in a compact, readable and interactive view. These metrics can either be calculated by Iris, or by a third-party program such as MolProbity. We show that those parts of a protein model requiring attention may generate ripples across the metrics on the diagram, immediately catching the modeler's attention. Iris can run as a standalone tool, or be plugged into existing structural biology software to display per-chain model quality at a glance, with a particular emphasis on evaluating incremental changes resulting from the iterative nature of model building and refinement. Finally, the integration of Iris into the CCP4i2 graphical user interface is provided as a showcase of its pluggable design.
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Registered trials
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.