ArticlePloS one2019
Intrinsically disordered proteins and structured proteins with intrinsically disordered regions have different functional roles in the cell.
Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 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
75 citing papers in PubMed.
- Beyond the structure-function paradigm: A comprehensive review of intrinsically disordered proteins.Biochemistry and biophysics reports · 2026Review
- Genomic distribution characteristics and interspecific differences of microsatellite landscapes in Felidae.BMC genomics · 2026Article
- Comprehensive Biophysical Profiling Evidences Self-Oligomerization of Bacterially Expressed Pc Protein.Chembiochem : a European journal of chemical biology · 2026Article
- Structural genomics sheds light on protein functions and remote homologs across the insect tree of life.Cell research · 2026Article
- Small heat shock proteins and biomolecular condensates.Cellular and molecular life sciences : CMLS · 2026Review
- Nearest neighbour interactions between amino acid residues in short peptides and coil libraries.RSC advances · 2026Article
- Modern resources for intrinsic disorder predictions: protein language models, deep learning, meta-servers, and databases.Cellular and molecular life sciences : CMLS · 2026Review
- Article
- Impact of intrinsically disordered regions and functional disorder hotspots in the human kinome.Briefings in bioinformatics · 2025Article
- Unfolding of the Villin Headpiece Domain: Revealing Structural Heterogeneity with Time-Resolved X-Ray Solution Scattering and Markov State Modeling.Chemphyschem : a European journal of chemical physics and physical chemistry · 2025Article
- SEC-SAXS/MC Ensemble Structural Studies of the Microtubule Binding Protein Cdt1 Show Monomeric, Folded-Over Conformations.Cytoskeleton (Hoboken, N.J.) · 2025Article
- Sizes, conformational fluctuations, and SAXS profiles for intrinsically disordered proteins.Protein science : a publication of the Protein Society · 2025Article
- Recalibrating Protection Factors Using Millisecond Hydrogen/Deuterium Exchange Mass Spectrometry.Analytical chemistry · 2025Article
- Navigating the unstructured by evaluating alphafold's efficacy in predicting missing residues and structural disorder in proteins.PloS one · 2025Article
- Global analysis of endogenous protein disorder in cells.Nature methods · 2025Article
- From molecular descriptions to cellular functions of intrinsically disordered protein regions.Biophysics reviews · 2024Review
- Comparison of Methodologies for Absolute Binding Free Energy Calculations of Ligands to Intrinsically Disordered Proteins.Journal of chemical theory and computation · 2024Article
- Sequence, Structure, and Functional Space of Drosophila De Novo Proteins.Genome biology and evolution · 2024Article
- An AI-generated proteome-scale dataset of predicted protein structures for the ctenophore Mnemiopsis leidyi.Proteomics · 2024Article
- Leveraging Cancer Phenotypic Plasticity for Novel Treatment Strategies.Journal of clinical medicine · 2024Article
15 more citing papers are in PubMed but not listed here.
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
No grant is acknowledged in the PubMed record.
Abstract
Many studies about classification and the functional annotation of intrinsically disordered proteins (IDPs) are based on either the occurrence of long disordered regions or the fraction of disordered residues in the sequence. Taking into account both criteria we separate the human proteome, taken as a case study, into three variants of proteins: i) ordered proteins (ORDPs), ii) structured proteins with intrinsically disordered regions (IDPRs), and iii) intrinsically disordered proteins (IDPs). The focus of this work is on the different functional roles of IDPs and IDPRs, which up until now have been generally considered as a whole. Previous studies assigned a large set of functional roles to the general category of IDPs. We show here that IDPs and IDPRs have non-overlapping functional spectra, play different roles in human diseases, and deserve to be treated as distinct categories of proteins. IDPs enrich only a few classes, functions, and processes: nucleic acid binding proteins, chromatin binding proteins, transcription factors, and developmental processes. In contrast, IDPRs are spread over several functional protein classes and GO annotations which they partly share with ORDPs. As regards to diseases, we observe that IDPs enrich only cancer-related proteins, at variance with previous results reporting that IDPs are widespread also in cardiovascular and neurodegenerative pathologies. Overall, the operational separation of IDPRs from IDPs is relevant towards correct estimates of the occurrence of intrinsically disordered proteins in genome-wide studies and in the understanding of the functional spectra associated to different flavors of protein disorder.
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.