ReviewFEBS letters2013
Trendspotting in the Protein Data Bank.
Review in FEBS letters, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 1 of them a synthesis that pooled 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.
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
45 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Network medicine approaches for identification of novel prognostic systems biomarkers and drug candidates for papillary thyroid carcinoma.Journal of cellular and molecular medicine · 2023Pooled it
- Characterization of Anti-Inflammatory and Anti-Proliferative Triterpenoids and Phytosterols from Cranberry Pomace.Molecules (Basel, Switzerland) · 2026Article
- Xtricorder: a likelihood-enhanced self-rotation function and application to a machine learning-enhanced Matthews prediction of asymmetric unit copy number.Acta crystallographica. Section D, Structural biology · 2025Article
- Exploring the TRIM15 protein interaction network as a drug target using machine learning in pancreatic cancer.Discover oncology · 2025Article
- Article
- Illuminating the "Twilight Zone": Advances in Difficult Protein Modeling.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Article
- 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
- Article
- Evaluation of template-based modeling in CASP13.Proteins · 2019Article
- A comparative anatomy of protein crystals: lessons from the automatic processing of 56 000 samples.IUCrJ · 2019Article
- Improving inverse docking target identification with Z-score selection.Chemical biology & drug design · 2019Article
- Structural and dynamical description of the enzymatic reaction of a phosphohexomutase.Structural dynamics (Melville, N.Y.) · 2019Article
- Automatic recognition of ligands in electron density by machine learning.Bioinformatics (Oxford, England) · 2019Article
- A pipeline for computational design of novel RNA-like topologies.Nucleic acids research · 2018Article
- Accurately Predicting Disordered Regions of Proteins Using Rosetta ResidueDisorder Application.The journal of physical chemistry. B · 2018Article
- Iterative Molecular Dynamics-Rosetta Membrane Protein Structure Refinement Guided by Cryo-EM Densities.Journal of chemical theory and computation · 2017Article
- A close-up view of codon selection in eukaryotic initiation.RNA biology · 2017Article
- Augmenting the anisotropic network model with torsional potentials improves PATH performance, enabling detailed comparison with experimental rate data.Structural dynamics (Melville, N.Y.) · 2017Article
- The RCSB protein data bank: integrative view of protein, gene and 3D structural information.Nucleic acids research · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
Abstract
The Protein Data Bank (PDB) was established in 1971 as a repository for the three dimensional structures of biological macromolecules. Since then, more than 85000 biological macromolecule structures have been determined and made available in the PDB archive. Through analysis of the corpus of data, it is possible to identify trends that can be used to inform us abou the future of structural biology and to plan the best ways to improve the management of the ever-growing amount of PDB data.
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.