ReviewCurrent opinion in structural biology2014
Theoretical frameworks for multiscale modeling and simulation.
Review in Current opinion in structural biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed.
- Intelligent resolution: Integrating Cryo-EM with AI-driven multi-resolution simulations to observe the severe acute respiratory syndrome coronavirus-2 replication-transcription machinery in action.The international journal of high performance computing applications · 2022Article
- Advanced Sampling Methods for Multiscale Simulation of Disordered Proteins and Dynamic Interactions.Biomolecules · 2021Review
- Open-Boundary Molecular Mechanics/Coarse-Grained Framework for Simulations of Low-Resolution G-Protein-Coupled Receptor-Ligand Complexes.Journal of chemical theory and computation · 2019Article
- Modeling Structure, Stability, and Flexibility of Double-Stranded RNAs in Salt Solutions.Biophysical journal · 2018Article
- Predicting 3D structure and stability of RNA pseudoknots in monovalent and divalent ion solutions.PLoS computational biology · 2018Article
- Adaptive resolution simulations of biomolecular systems.European biophysics journal : EBJ · 2017Review
- Quantum Mechanics/Molecular Mechanics Method Combined with Hybrid All-Atom and Coarse-Grained Model: Theory and Application on Redox Potential Calculations.Journal of chemical theory and computation · 2016Article
- Principles and Overview of Sampling Methods for Modeling Macromolecular Structure and Dynamics.PLoS computational biology · 2016Review
- Predicting 3D Structure, Flexibility, and Stability of RNA Hairpins in Monovalent and Divalent Ion Solutions.Biophysical journal · 2015Article
- The chromatin fiber: multiscale problems and approaches.Current opinion in structural biology · 2015Review
- Molecular dynamics simulations of large macromolecular complexes.Current opinion in structural biology · 2015Review
- Information flow and protein dynamics: the interplay between nuclear magnetic resonance spectroscopy and molecular dynamics simulations.Frontiers in plant science · 2015Review
- Recent advances in transferable coarse-grained modeling of proteins.Advances in protein chemistry and structural biology · 2014Review
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
Biomolecular systems have been modeled at a variety of scales, ranging from explicit treatment of electrons and nuclei to continuum description of bulk deformation or velocity. Many challenges of interfacing between scales have been overcome. Multiple models at different scales have been used to study the same system or calculate the same property (e.g., channel conductance). Accurate modeling of biochemical processes under in vivo conditions and the bridging of molecular and subcellular scales will likely soon become reality.
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.