ReviewMolecular bioSystems2012
A comprehensive overview of computational protein disorder prediction methods.
Review in Molecular bioSystems, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 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
59 citing papers in PubMed.
- Modern resources for intrinsic disorder predictions: protein language models, deep learning, meta-servers, and databases.Cellular and molecular life sciences : CMLS · 2026Review
- FusionEncoder: identification of intrinsically disordered regions based on multi-feature fusion.Bioinformatics (Oxford, England) · 2025Article
- Structural biology in variant interpretation: Perspectives and practices from two studies.American journal of human genetics · 2025Review
- Accurate and Fast Prediction of Intrinsic Disorder Using flDPnn.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Prediction of Intrinsic Disorder Functions with DEPICTER2.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Molecular dynamic simulations to assess the structural variability of ClpV fromFrontiers in bioinformatics · 2025Article
- Exploring Novel Antimalarial Compounds TargetingACS omega · 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
- Compositional Bias of Intrinsically Disordered Proteins and Regions and Their Predictions.Biomolecules · 2022Article
- MoRF-FUNCpred: Molecular Recognition Feature Function Prediction Based on Multi-Label Learning and Ensemble Learning.Frontiers in pharmacology · 2022Review
- Deep learning in prediction of intrinsic disorder in proteins.Computational and structural biotechnology journal · 2022Review
- Caseinolytic Proteins (Clp) in the GenusMolecules (Basel, Switzerland) · 2021Article
- Metapredict: a fast, accurate, and easy-to-use predictor of consensus disorder and structure.Biophysical journal · 2021Article
- QUARTERplus: Accurate disorder predictions integrated with interpretable residue-level quality assessment scores.Computational and structural biotechnology journal · 2021Article
- Comparative Assessment of Intrinsic Disorder Predictions with a Focus on Protein and Nucleic Acid-Binding Proteins.Biomolecules · 2020Review
- Understanding the penetrance of intrinsic protein disorder in rotavirus proteome.International journal of biological macromolecules · 2020Article
- Genus-specific pattern of intrinsically disordered central regions in the nucleocapsid protein of coronaviruses.Computational and structural biotechnology journal · 2020Article
- Computational Prediction of Intrinsic Disorder in Protein Sequences with the disCoP Meta-predictor.Methods in molecular biology (Clifton, N.J.) · 2020Article
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Authors and funding
3 authors.
Funding
Abstract
Over the past decade there has been a growing acknowledgement that a large proportion of proteins within most proteomes contain disordered regions. Disordered regions are segments of the protein chain which do not adopt a stable structure. Recognition of disordered regions in a protein is of great importance for protein structure prediction, protein structure determination and function annotation as these regions have a close relationship with protein expression and functionality. As a result, a great many protein disorder prediction methods have been developed so far. Here, we present an overview of current protein disorder prediction methods including an analysis of their advantages and shortcomings. In order to help users to select alternative tools under different circumstances, we also evaluate 23 disorder predictors on the benchmark data of the most recent round of the Critical Assessment of protein Structure Prediction (CASP) and assess their accuracy using several complementary measures.
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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.