ReviewIUCrJ2017
Applications of contact predictions to structural biology.
Review in IUCrJ, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
21 citing papers in PubMed.
- State-of-the-Art and Future Directions in Structural Proteomics.Molecular & cellular proteomics : MCP · 2025Review
- Article
- AlphaFold2 in biomedical research: facilitating the development of diagnostic strategies for disease.Frontiers in molecular biosciences · 2024Review
- ConPlot: web-based application for the visualization of protein contact maps integrated with other data.Bioinformatics (Oxford, England) · 2021Article
- Evolutionary coupling-inspired engineering of alcohol dehydrogenase reveals the influence of distant sites on its catalytic efficiency for stereospecific synthesis of chiral alcohols.Computational and structural biotechnology journal · 2021Article
- Practical Considerations for Atomistic Structure Modeling with Cryo-EM Maps.Journal of chemical information and modeling · 2020Article
- RDbBMC bioinformatics · 2020Article
- Evolutionary coupling saturation mutagenesis: Coevolution-guided identification of distant sites influencing Bacillus naganoensis pullulanase activity.FEBS letters · 2020Article
- Building blocks for commodity augmented reality-based molecular visualization and modeling in web browsers.PeerJ. Computer science · 2020Article
- StructureDistiller: Structural relevance scoring identifies the most informative entries of a contact map.Scientific reports · 2019Article
- Molecular replacement using structure predictions from databases.Acta crystallographica. Section D, Structural biology · 2019Article
- Predicting protein residue-residue contacts using random forests and deep networks.BMC bioinformatics · 2019Article
- Combining Evolutionary Covariance and NMR Data for Protein Structure Determination.Methods in enzymology · 2019Article
- Biogenesis and structure of a type VI secretion baseplate.Nature microbiology · 2018Article
- Identification of residue pairing in interacting β-strands from a predicted residue contact map.BMC bioinformatics · 2018Article
- Metazoan Parasite Vaccines: Present Status and Future Prospects.Frontiers in cellular and infection microbiology · 2018Review
- Approaches to ab initio molecular replacement of α-helical transmembrane proteins.Acta crystallographica. Section D, Structural biology · 2017Article
- Structural, physicochemical and dynamic features conserved within the aerolysin pore-forming toxin family.Scientific reports · 2017Article
- Co-evolution techniques are reshaping the way we do structural bioinformatics.F1000Research · 2017Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Evolutionary pressure on residue interactions, intramolecular or intermolecular, that are important for protein structure or function can lead to covariance between the two positions. Recent methodological advances allow much more accurate contact predictions to be derived from this evolutionary covariance signal. The practical application of contact predictions has largely been confined to structural bioinformatics, yet, as this work seeks to demonstrate, the data can be of enormous value to the structural biologist working in X-ray crystallo-graphy, cryo-EM or NMR. Integrative structural bioinformatics packages such as
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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.