ReviewBiophysical reviews2016
Protein-RNA interactions: structural biology and computational modeling techniques.
Review in Biophysical reviews, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
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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.
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.
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Who cites it
14 citing papers in PubMed, 36 citations in OpenAlex.
- PANTHER Score: Protein-Affinity for Nucleic Target-binding, Hybridization, and Energy Regression.RNA (New York, N.Y.) · 2026Article
- SEISMICgraph: a web-based tool for RNA structure data visualization.Nucleic acids research · 2025Article
- Graph-RPI: predicting RNA-protein interactions via graph autoencoder and self-supervised learning strategies.Briefings in bioinformatics · 2025Article
- Mechanism of non-coding RNA regulation of DNMT3A.Epigenetics & chromatin · 2025Article
- Post-Docking Refinement of Peptide or Protein-RNA Complexes Using Thermal Titration Molecular Dynamics (TTMD): A Stability Insight.Journal of chemical information and modeling · 2025Article
- Structural comparison of homologous protein-RNA interfaces reveals widespread overall conservation contrasted with versatility in polar contacts.PLoS computational biology · 2024Article
- The metaphorical swiss army knife: The multitude and diverse roles of HEAT domains in eukaryotic translation initiation.Nucleic acids research · 2022Review
- Protein-RNA interaction prediction with deep learning: structure matters.Briefings in bioinformatics · 2022Article
- Article
- Protein Interaction with Charged Macromolecules: From Model Polymers to Unfolded Proteins and Post-Translational Modifications.International journal of molecular sciences · 2019Review
- Partner-specific prediction of RNA-binding residues in proteins: A critical assessment.Proteins · 2019Article
- Structural Changes of RNA in Complex with Proteins in the SRP.Frontiers in molecular biosciences · 2018Review
- A review and summary of the contents of biophysical reviews volume 8, 2016.Biophysical reviews · 2017Article
- Foreword to 'Quantitative and analytical relations in biochemistry'-a special issue in honour of Donald J. Winzor's 80th birthday.Biophysical reviews · 2016Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
RNA-binding proteins are functionally diverse within cells, being involved in RNA-metabolism, translation, DNA damage repair, and gene regulation at both the transcriptional and post-transcriptional levels. Much has been learnt about their interactions with RNAs through structure determination techniques and computational modeling. This review gives an overview of the structural data currently available for protein-RNA complexes, and discusses the technical issues facing structural biologists working to solve their structures. The review focuses on three techniques used to solve the 3-dimensional structure of protein-RNA complexes at atomic resolution, namely X-ray crystallography, solution nuclear magnetic resonance (NMR) and cryo-electron microscopy (cryo-EM). The review then focuses on the main computational modeling techniques that use these atomic resolution data: discussing the prediction of RNA-binding sites on unbound proteins, docking proteins, and RNAs, and modeling the molecular dynamics of the systems. In conclusion, the review looks at the future directions this field of research might take.
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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.