ReviewIUCrJ2020
The data universe of structural biology.
Review in IUCrJ, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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.
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.
Who cites it
12 citing papers in PubMed.
- Eras of bioinformatics technologies from command-line interfaces to artificial intelligence (AI) chatbots.Briefings in bioinformatics · 2026Review
- Exploring Scoring Function Space: Developing Computational Models for Drug Discovery.Current medicinal chemistry · 2024Review
- Metal ions in biomedically relevant macromolecular structures.Frontiers in chemistry · 2024Review
- Building a FAIR image data ecosystem for microscopy communities.Histochemistry and cell biology · 2023Review
- Common measures in mental health: a joint initiative by funders and journals.The lancet. Psychiatry · 2023Review
- 2023 update of template tables for reporting biomolecular structural modelling of small-angle scattering data.Acta crystallographica. Section D, Structural biology · 2023Article
- Pre- and Post-publication Verification for Reproducible Data Mining in Macromolecular Crystallography.Methods in molecular biology (Clifton, N.J.) · 2022Article
- The NEOtrap - en route with a new single-molecule technique.iScience · 2021Review
- Rational Design of Constrained Peptides as Protein Interface Inhibitors.Antibodies (Basel, Switzerland) · 2021Review
- Deep Learning in Virtual Screening: Recent Applications and Developments.International journal of molecular sciences · 2021Review
- Beyond history and "on a roll": The list of the most well-studied human protein structures and overall trends in the protein data bank.Protein science : a publication of the Protein Society · 2021Review
- Structural genomics and the Protein Data Bank.The Journal of biological chemistryReview
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
The Protein Data Bank (PDB) has grown from a small data resource for crystallographers to a worldwide resource serving structural biology. The history of the growth of the PDB and the role that the community has played in developing standards and policies are described. This article also illustrates how other biophysics communities are collaborating with the worldwide PDB to create a network of interoperating data resources. This network will expand the capabilities of structural biology and enable the determination and archiving of increasingly complex structures.
Indexed as
Identifiers
What OpenQuestion holds
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.