ArticleScientific reports2013
A novel protocol for three-dimensional structure prediction of RNA-protein complexes.
Article in Scientific reports, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 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
38 citing papers in PubMed.
- Differentiation of RNA-protein docking structures through molecular dynamics simulation and machine learning methods.Briefings in bioinformatics · 2026Article
- Single-sequence protein-RNA complex structure prediction by geometric attention-enabled pairing of biological language models.Cell systems · 2025Article
- RNA-protein interaction prediction using network-guided deep learning.Communications biology · 2025Article
- AI-integrated network for RNA complex structure and dynamic prediction.Biophysics reviews · 2024Review
- RNA-protein interaction prediction without high-throughput data: An overview and benchmark ofComputational and structural biotechnology journal · 2024Article
- Advances and Challenges in Scoring Functions for RNA-Protein Complex Structure Prediction.Biomolecules · 2024Review
- Methods and Applications in Proteins and RNAs.Life (Basel, Switzerland) · 2023Article
- Evaluating native-like structures of RNA-protein complexes through the deep learning method.Nature communications · 2023Article
- Design and Prediction of Aptamers Assisted by In Silico Methods.Biomedicines · 2023Review
- Computational tools to study RNA-protein complexes.Frontiers in molecular biosciences · 2022Review
- A noncoding RNA modulator potentiates phenylalanine metabolism in mice.Science (New York, N.Y.) · 2021Article
- RNA and DNA G-quadruplexes bind to human dicer and inhibit its activity.Cellular and molecular life sciences : CMLS · 2021Article
- Computational Study on DNA Repair: The Roles of Electrostatic Interactions Between Uracil-DNA Glycosylase (UDG) and DNA.Frontiers in molecular biosciences · 2021Article
- Methods and Applications of In Silico Aptamer Design and Modeling.International journal of molecular sciences · 2020Review
- A novel antiviral lncRNA, EDAL, shields a T309 O-GlcNAcylation site to promote EZH2 lysosomal degradation.Genome biology · 2020Article
- How RNA-Binding Proteins Interact with RNA: Molecules and Mechanisms.Molecular cell · 2020Review
- StructureMan: A Structure Manipulation Tool to Study Large Scale Biomolecular Interactions.Frontiers in molecular biosciences · 2020Article
- Scoring Functions for Protein-RNA Complex Structure Prediction: Advances, Applications, and Future Directions.Communications in information and systems · 2020Article
- A structure-based model for the prediction of protein-RNA binding affinity.RNA (New York, N.Y.) · 2019Article
- Sampling Native-like Structures of RNA-Protein Complexes through Rosetta Folding and Docking.Structure (London, England : 1993) · 2019Article
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
No grant is acknowledged in the PubMed record.
Abstract
Three-dimensional structures of RNA-protein complexes are crucial for understanding their diverse functions. However, the number of the RNA-protein complex structures solved by experiments is still limited at present. To solve this problem, some computational protocols have been proposed to predict three-dimensional RNA-protein complex structures. But the prediction accuracies of these protocols are lower. The reason may be that these protocols don't fully incorporate the features of RNA-protein interfaces. Here we propose a novel computational protocol for three-dimensional RNA-protein complex structure prediction, 3dRPC, which applies new schemes to the discreteness of molecule and charge in docking algorithm and the construction of the reference state in scoring function in order to take account of the features of RNA-protein interfaces. This protocol achieves a high accuracy comparable to the well-developed algorithms for three-dimensional structure prediction of protein-protein complexes when tested on a RNA-protein docking benchmark.
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.