ReviewInternational journal of molecular sciences2015
Disorder Prediction Methods, Their Applicability to Different Protein Targets and Their Usefulness for Guiding Experimental Studies.
Review in International journal of molecular sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.
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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.
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Who cites it
42 citing papers in PubMed, 70 citations in OpenAlex.
- Conformational Analyses of the AHD1-UBAN Region of TNIP1 Highlight Key Amino Acids for Interaction with Ubiquitin.Biomolecules · 2025Article
- Prediction of Intrinsic Disorder Functions with DEPICTER2.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Taxonomy-specific assessment of intrinsic disorder predictions at residue and region levels in higher eukaryotes, protists, archaea, bacteria and viruses.Computational and structural biotechnology journal · 2024Article
- Structural Characterization of Heat Shock Protein 90β and Molecular Interactions with Geldanamycin and Ritonavir: A Computational Study.International journal of molecular sciences · 2024Article
- Map conformational landscapes of intrinsically disordered proteins with polymer physics quantities.Biophysical journal · 2024Article
- Assessment of Disordered Linker Predictions in the CAID2 Experiment.Biomolecules · 2024Article
- Network pharmacology prediction and molecular docking-based strategy to explore the potential mechanism of squalene against inflammation.In silico pharmacology · 2024Article
- Tutorial: a guide for the selection of fast and accurate computational tools for the prediction of intrinsic disorder in proteins.Nature protocols · 2023Review
- Computational Prediction of Protein Intrinsically Disordered Region Related Interactions and Functions.Genes · 2023Review
- Computational prediction of disordered binding regions.Computational and structural biotechnology journal · 2023Review
- Predicted Structure and Functions of the Prototypic Alphaherpesvirus Herpes Simplex Virus Type-1 UL37 Tegument Protein.Viruses · 2022Article
- Influence of modelling disorder on Hirshfeld atom refinement results of an organo-gold(I) compound.IUCrJ · 2022Article
- Condensation of pericentrin proteins in human cells illuminates phase separation in centrosome assembly.Journal of cell science · 2021Article
- Homopeptide and homocodon levels across fungi are coupled to GC/AT-bias and intrinsic disorder, with unique behaviours for some amino acids.Scientific reports · 2021Article
- A combined evolutionary and structural approach to disclose the primary structural determinants essential for proneurotrophins biological functions.Computational and structural biotechnology journal · 2021Article
- QUARTERplus: Accurate disorder predictions integrated with interpretable residue-level quality assessment scores.Computational and structural biotechnology journal · 2021Article
- Tuning intrinsic disorder predictors for virus proteins.Virus evolution · 2021Article
- Comparative Assessment of Intrinsic Disorder Predictions with a Focus on Protein and Nucleic Acid-Binding Proteins.Biomolecules · 2020Review
- ODiNPred: comprehensive prediction of protein order and disorder.Scientific reports · 2020Article
- Common Functions of Disordered Proteins across Evolutionary Distant Organisms.International journal of molecular sciences · 2020Review
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
The role and function of a given protein is dependent on its structure. In recent years, however, numerous studies have highlighted the importance of unstructured, or disordered regions in governing a protein's function. Disordered proteins have been found to play important roles in pivotal cellular functions, such as DNA binding and signalling cascades. Studying proteins with extended disordered regions is often problematic as they can be challenging to express, purify and crystallise. This means that interpretable experimental data on protein disorder is hard to generate. As a result, predictive computational tools have been developed with the aim of predicting the level and location of disorder within a protein. Currently, over 60 prediction servers exist, utilizing different methods for classifying disorder and different training sets. Here we review several good performing, publicly available prediction methods, comparing their application and discussing how disorder prediction servers can be used to aid the experimental solution of protein structure. The use of disorder prediction methods allows us to adopt a more targeted approach to experimental studies by accurately identifying the boundaries of ordered protein domains so that they may be investigated separately, thereby increasing the likelihood of their successful experimental solution.
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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.