ArticlePLoS computational biology2007
Natively unstructured loops differ from other loops.
Article in PLoS computational biology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.
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Who cites it
47 citing papers in PubMed, 100 citations in OpenAlex.
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- IDP-EDL: enhancing intrinsically disordered protein prediction by combining protein language model and ensemble deep learning.Briefings in bioinformatics · 2025Article
- Assessing the role of evolutionary information for enhancing protein language model embeddings.Scientific reports · 2024Article
- Structural insights into the disulfide isomerase and chaperone activity of TrbB of the F plasmid type IV secretion system.Current research in structural biology · 2024Article
- Protein intrinsically disordered region prediction by combining neural architecture search and multi-objective genetic algorithm.BMC biology · 2023Article
- Predicting Protein Conformational Disorder and Disordered Binding Sites.Methods in molecular biology (Clifton, N.J.) · 2022Article
- SETH predicts nuances of residue disorder from protein embeddings.Frontiers in bioinformatics · 2022Article
- Dark Proteome Database: Studies on Disorder.High-throughput · 2020Article
- HSF1: Primary Factor in Molecular Chaperone Expression and a Major Contributor to Cancer Morbidity.Cells · 2020Review
- Modeling aspects of the language of life through transfer-learning protein sequences.BMC bioinformatics · 2019Article
- Identification of Intrinsically Disordered Proteins and Regions by Length-Dependent Predictors Based on Conditional Random Fields.Molecular therapy. Nucleic acids · 2019Article
- IDP⁻CRF: Intrinsically Disordered Protein/Region Identification Based on Conditional Random Fields.International journal of molecular sciences · 2018Article
- HSP90 inhibitors disrupt a transient HSP90-HSF1 interaction and identify a noncanonical model of HSP90-mediated HSF1 regulation.Scientific reports · 2018Article
- Comprehensive review of methods for prediction of intrinsic disorder and its molecular functions.Cellular and molecular life sciences : CMLS · 2017Review
- Potent and selective bivalent inhibitors of BET bromodomains.Nature chemical biology · 2016Article
- How disordered is my protein and what is its disorder for? A guide through the "dark side" of the protein universe.Intrinsically disordered proteins · 2016Article
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- Protein disorder reduced in Saccharomyces cerevisiae to survive heat shock.F1000Research · 2015Article
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- Structural determinants allowing transferase activity in SENSITIVE TO FREEZING 2, classified as a family I glycosyl hydrolase.The Journal of biological chemistry · 2014Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Natively unstructured or disordered protein regions may increase the functional complexity of an organism; they are particularly abundant in eukaryotes and often evade structure determination. Many computational methods predict unstructured regions by training on outliers in otherwise well-ordered structures. Here, we introduce an approach that uses a neural network in a very different and novel way. We hypothesize that very long contiguous segments with nonregular secondary structure (NORS regions) differ significantly from regular, well-structured loops, and that a method detecting such features could predict natively unstructured regions. Training our new method, NORSnet, on predicted information rather than on experimental data yielded three major advantages: it removed the overlap between testing and training, it systematically covered entire proteomes, and it explicitly focused on one particular aspect of unstructured regions with a simple structural interpretation, namely that they are loops. Our hypothesis was correct: well-structured and unstructured loops differ so substantially that NORSnet succeeded in their distinction. Benchmarks on previously used and new experimental data of unstructured regions revealed that NORSnet performed very well. Although it was not the best single prediction method, NORSnet was sufficiently accurate to flag unstructured regions in proteins that were previously not annotated. In one application, NORSnet revealed previously undetected unstructured regions in putative targets for structural genomics and may thereby contribute to increasing structural coverage of large eukaryotic families. NORSnet found unstructured regions more often in domain boundaries than expected at random. In another application, we estimated that 50%-70% of all worm proteins observed to have more than seven protein-protein interaction partners have unstructured regions. The comparative analysis between NORSnet and DISOPRED2 suggested that long unstructured loops are a major part of unstructured regions in molecular networks.
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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.