ArticlePloS one2009
Improved disorder prediction by combination of orthogonal approaches.
Article in PloS one, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 93 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
93 citing papers in PubMed.
- Insights of HIV-1 and HBV transcriptional regulation by viral transactivator Tat and HBx.Virus genes · 2025Review
- FusionEncoder: identification of intrinsically disordered regions based on multi-feature fusion.Bioinformatics (Oxford, England) · 2025Article
- IDP-EDL: enhancing intrinsically disordered protein prediction by combining protein language model and ensemble deep learning.Briefings in bioinformatics · 2025Article
- Protein intrinsically disordered region prediction by combining neural architecture search and multi-objective genetic algorithm.BMC biology · 2023Article
- Computational Prediction of Protein Intrinsically Disordered Region Related Interactions and Functions.Genes · 2023Review
- Identifying Intrinsically Disordered Protein Regions through a Deep Neural Network with Three Novel Sequence Features.Life (Basel, Switzerland) · 2022Article
- SETH predicts nuances of residue disorder from protein embeddings.Frontiers in bioinformatics · 2022Article
- Predicting Protein Conformational Disorder and Disordered Binding Sites.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Decoding the effects of synonymous variants.Nucleic acids research · 2021Article
- InInternational journal of molecular sciences · 2021Article
- Metapredict: a fast, accurate, and easy-to-use predictor of consensus disorder and structure.Biophysical journal · 2021Article
- PredictProtein - Predicting Protein Structure and Function for 29 Years.Nucleic acids research · 2021Article
- Evidence for a synergistic effect of post-translational modifications and genomic composition of eEF-1α on the adaptation ofEcology and evolution · 2021Article
- Comparative Assessment of Intrinsic Disorder Predictions with a Focus on Protein and Nucleic Acid-Binding Proteins.Biomolecules · 2020Review
- Dark Proteome Database: Studies on Disorder.High-throughput · 2020Article
- Homology modeling in the time of collective and artificial intelligence.Computational and structural biotechnology journal · 2020Review
- Computational Prediction of Intrinsic Disorder in Protein Sequences with the disCoP Meta-predictor.Methods in molecular biology (Clifton, N.J.) · 2020Article
- Deep learning methods in protein structure prediction.Computational and structural biotechnology journal · 2020Review
- DISOselect: Disorder predictor selection at the protein level.Protein science : a publication of the Protein Society · 2020Article
- funtrp: identifying protein positions for variation driven functional tuning.Nucleic acids research · 2019Article
33 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
5 authors.
Funding
Abstract
unlabelledDisordered proteins are highly abundant in regulatory processes such as transcription and cell-signaling. Different methods have been developed to predict protein disorder often focusing on different types of disordered regions. Here, we present MD, a novel META-Disorder prediction method that molds various sources of information predominantly obtained from orthogonal prediction methods, to significantly improve in performance over its constituents. In sustained cross-validation, MD not only outperforms its origins, but it also compares favorably to other state-of-the-art prediction methods in a variety of tests that we applied. AVAILABILITY: http://www.rostlab.org/services/md/
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.