ArticleActa crystallographica. Section D, Structural biology2023
Errors in structural biology are not the exception.
Article in Acta crystallographica. Section D, Structural biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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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.
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.
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Who cites it
10 citing papers in PubMed.
- AI-Predicted Model-Guided Rebuilding of the Experimental Structure of Mouse δ-Aminolevulinic Acid Dehydratase.International journal of molecular sciences · 2026Article
- Unfreezing structural biology for drug discovery.Nature chemical biology · 2026Review
- CryoDataBot: a pipeline to curate cryoEM datasets for AI-driven structural biology.bioRxiv : the preprint server for biology · 2025Article
- An experimental proxy of water displaceability for ligand discovery.Nature methods · 2025Article
- Principles of ion binding to RNA inferred from the analysis of a 1.55 Å resolution bacterial ribosome structure - Part I: Mg2.Nucleic acids research · 2025Article
- CryoDataBot: a pipeline to curate cryoEM datasets for AI-driven structural biology.GigaScience · 2025Article
- Comprehensive analysis of SARS-CoV-2 Spike evolution: epitope classification and immune escape prediction.Virus evolution · 2025Article
- Using deep-learning predictions reveals a large number of register errors in PDB depositions.IUCrJ · 2024Article
- Robust and automatic beamstop shadow outlier rejection: combining crystallographic statistics with modern clustering under a semi-supervised learning strategy.Acta crystallographica. Section D, Structural biology · 2024Article
- Automated model building and protein identification in cryo-EM maps.bioRxiv : the preprint server for biology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
During the COVID-19 pandemic, the structural biology community swung into action quickly and efficiently, and many urgent questions were solved by macromolecular structure determination. The Coronavirus Structural Task Force evaluated all structures from SARS-CoV-1 and SARS-CoV-2, but errors in measurement, data processing and modelling are present beyond these structures and throughout the structures deposited in the Protein Data Bank. Identifying them is only the first step; in order to minimize the impact that errors have in structural biology, error culture needs to change. It should be emphasized that the atomic model which is published is an interpretation of the measurement. Furthermore, risks should be minimized by addressing issues early and by investigating the source of a given problem, so that it may be avoided in the future. If we as a community can do this, it will greatly benefit experimental structural biologists as well as downstream users who are using structural models to deduce new biological and medical answers in the future.
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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.