ReviewCurrent opinion in structural biology2019
Large-scale simulations of nucleoprotein complexes: ribosomes, nucleosomes, chromatin, chromosomes and CRISPR.
Review in Current opinion in structural biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed.
- A Computationally Efficient Method to Generate Plausible Conformers for Ensemble Docking and Binding Free Energy Calculations.Journal of chemical information and modeling · 2025Article
- Principles of ion binding to RNA inferred from the analysis of a 1.55 Å resolution bacterial ribosome structure - Part I: Mg2.Nucleic acids research · 2025Article
- Embracing exascale computing in nucleic acid simulations.Current opinion in structural biology · 2024Review
- Structural dynamics in chromatin unraveling by pioneer transcription factors.Biophysical reviews · 2024Review
- Structure and interaction of therapeutic proteins in solution: a combined simulation and experimental study.Molecular physics · 2023Article
- Hyper-swivel head domain motions are required for complete mRNA-tRNA translocation and ribosome resetting.Nucleic acids research · 2022Article
- Getting to the bottom of lncRNA mechanism: structure-function relationships.Mammalian genome : official journal of the International Mammalian Genome Society · 2022Review
- Collective mechanical responses of cadherin-based adhesive junctions as predicted by simulations.Biophysical journal · 2022Article
- Searching for Low Probability Opening Events in a DNA Sliding Clamp.Life (Basel, Switzerland) · 2022Article
- Primitive selection of the fittest emerging through functional synergy in nucleopeptide networks.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Mechanism for the Unfolding of the TOP7 Protein in Steered Molecular Dynamics Simulations as Revealed by Mutual Information Analysis.Frontiers in molecular biosciences · 2021Article
- Structural Heterogeneities of the Ribosome: New Frontiers and Opportunities for Cryo-EM.Molecules (Basel, Switzerland) · 2020Review
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.
Funding
Abstract
Recent advances in biotechnology such as Hi-C, CRISPR/Cas9 and ribosome display have placed nucleoprotein complexes at center stage. Understanding the structural dynamics of these complexes aids in optimizing protocols and interpreting data for these new technologies. The integration of simulation and experiment has helped advance mechanistic understanding of these systems. Coarse-grained simulations, reduced-description models, and explicit solvent molecular dynamics simulations yield useful complementary perspectives on nucleoprotein complex structural dynamics. When combined with Hi-C, cryo-EM, and single molecule measurements, these simulations integrate disparate forms of experimental data into a coherent mechanism.
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.