ArticleScientific reports2021
Critical assessment of coiled-coil predictions based on protein structure data.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
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- The C16orf87 protein is a subunit of the MIER corepressor complex controlling embryonic development and cell migration.Scientific reports · 2026Article
- Sequence Prediction, Structural Modelling and the Challenges of Plasticity in Coiled Coils.Sub-cellular biochemistry · 2026Review
- Research strategies of the N-peptide fusion inhibitor: a promising direction for discovering novel antivirals.Journal of virology · 2025Review
- Beyond Static Tethering at Membrane Contact Sites: Structural Dynamics and Functional Implications of VAP Proteins.Molecules (Basel, Switzerland) · 2025Review
- Dynamic pre-structuration of lipid nanodomain-segregating remorin proteins.Communications biology · 2024Article
- CCProtein science : a publication of the Protein Society · 2023Article
- Fluorescence Microscopy Study of the Intracellular Sulfur Globule Protein SgpD in the Purple Sulfur BacteriumMicroorganisms · 2023Article
- Regulation of Polyhomeotic Condensates by Intrinsically Disordered Sequences That Affect Chromatin Binding.Epigenomes · 2022Article
- Bioinformatic Analysis Predicts a Novel Genetic Module Related to Triple Gene and Binary Movement Blocks of Plant Viruses: Tetra-Cistron Movement Block.Biomolecules · 2022Article
- Canine Adenovirus 1 Isolation Bioinformatics Analysis of the Fiber.Frontiers in cellular and infection microbiology · 2022Article
- Distribution of disease-causing germline mutations in coiled-coils implies an important role of their N-terminal region.Scientific reports · 2020Article
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Authors and funding
4 authors.
Funding
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Abstract
Coiled-coil regions were among the first protein motifs described structurally and theoretically. The simplicity of the motif promises that coiled-coil regions can be detected with reasonable accuracy and precision in any protein sequence. Here, we re-evaluated the most commonly used coiled-coil prediction tools with respect to the most comprehensive reference data set available, the entire Protein Data Bank, down to each amino acid and its secondary structure. Apart from the 30-fold difference in minimum and maximum number of coiled coils predicted the tools strongly vary in where they predict coiled-coil regions. Accordingly, there is a high number of false predictions and missed, true coiled-coil regions. The evaluation of the binary classification metrics in comparison with naïve coin-flip models and the calculation of the Matthews correlation coefficient, the most reliable performance metric for imbalanced data sets, suggests that the tested tools' performance is close to random. This implicates that the tools' predictions have only limited informative value. Coiled-coil predictions are often used to interpret biochemical data and are part of in-silico functional genome annotation. Our results indicate that these predictions should be treated very cautiously and need to be supported and validated by experimental evidence.
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