ArticleScientific data2016
A collection of intrinsic disorder characterizations from eukaryotic proteomes.
Article in Scientific data, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 17 citations in OpenAlex.
- Quantitative measurement of the requirement of diverse protein degradation pathways in MHC class I peptide presentation.Science advances · 2023Article
- A context-dependent and disordered ubiquitin-binding motif.Cellular and molecular life sciences : CMLS · 2022Article
- Article
- Towards an understanding of the role of intrinsic protein disorder on plant adaptation to environmental challenges.Cell stress & chaperones · 2021Article
- Disorder Atlas: Web-based software for the proteome-based interpretation of intrinsic disorder predictions.Computational biology and chemistry · 2019Article
- Article
- On the Need to Develop Guidelines for Characterizing and Reporting Intrinsic Disorder in Proteins.Proteomics · 2019Article
- Exploring intrinsically disordered proteins in Chlamydomonas reinhardtii.Scientific reports · 2018Article
- Protein-Based Inheritance: Epigenetics beyond the Chromosome.Molecular cell · 2018Review
- Hub Protein Controversy: Taking a Closer Look at Plant Stress Response Hubs.Frontiers in plant science · 2018Review
- CIDER: Resources to Analyze Sequence-Ensemble Relationships of Intrinsically Disordered Proteins.Biophysical journal · 2017Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Intrinsically disordered proteins and protein regions lack a stable three-dimensional structure under physiological conditions. Several proteomic investigations of intrinsic disorder have been performed to date and have found disorder to be prevalent in eukaryotic proteomes. Here we present descriptive statistics of intrinsic disorder features for ten model eukaryotic proteomes that have been calculated from computational disorder prediction algorithms. The data descriptor also provides consensus disorder annotations as well as additional physical parameters relevant to protein disorder, and further provides protein existence information for all proteins included in our analysis. The complete datasets can be downloaded freely, and it is envisaged that they will be updated periodically with new proteomes and protein disorder prediction algorithms. These datasets will be especially useful for assessing protein disorder, and conducting novel analyses that advance our understanding of intrinsic disorder and protein structure.
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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.