ReviewNeuron2018
Molecular Dynamics Simulation for All.
Review in Neuron, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1,151 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
1,151 citing papers in PubMed.
- Article
- Article
- Design, synthesis and network pharmacology-integrated evaluation of benzenesulfonamides as potential Dickkopf-1 (Dkk-1)-targeting anticancer candidates.RSC advances · 2026Article
- A new method to build an initial configuration for molecular modeling.Journal of molecular modeling · 2026Article
- Design and in silico evaluation of PV-GNProtecta: an mRNA multi-epitope vaccine candidate against Puumala virus using immunoinformatics and structural analysis.Genomics & informatics · 2026Article
- Cooperative stabilization mechanism and electrostatic evolution in the zero dimensional arsenolite cluster aggregates: a first principles investigation.RSC advances · 2026Article
- Improving aptamer binding affinity for HN protein of newcastle disease virus: molecular dynamics simulations and MM/GBSA calculations studies.Molecular diversity · 2026Article
- Bio-active designed peptide for hair keratin strengthening.International journal of cosmetic science · 2026Article
- A Multi-Scale Computational Framework for Anti-Persister Tuberculosis Drug Discovery.Chemical biology & drug design · 2026Review
- Exploring the renoprotective potential of Beta vulgaris in diabetic nephropathy: an integrated network pharmacology, molecular docking and dynamics simulation study.Molecular diversity · 2026Article
- Untargeted LC-QTOF-MS/MS metabolomics and integrative pharmacology identify candidate triterpenoids associated with the gastrointestinal activity of Baliospermum montanum root extract.Inflammopharmacology · 2026Article
- Integrated Structural and Dynamic Analysis Reveals Destabilizing Effects of KRAS Missense Variants Associated with Lung Cancer.The protein journal · 2026Article
- Learning Protein-Protein Binding Free Energies from Interface Graphs and Physicochemical Descriptors.ACS physical chemistry Au · 2026Article
- Interpreting human genetic variation at atomic resolution.Nature genetics · 2026Review
- Physical priors improve performance of structure-based binding affinity models.bioRxiv : the preprint server for biology · 2026Article
- Experimental and molecular dynamics investigation of ZnO nanoparticle size effects on sunscreen performance and skin-lipid interactions.Journal of molecular modeling · 2026Article
- Optimization and Metabolomic Profiling ofInternational journal of molecular sciences · 2026Article
- Virtual Screening and Molecular Dynamics Simulations Identifying Natural Product-Derived Cathepsin K Inhibitors as Potential Therapeutics for Osteoporosis.International journal of molecular sciences · 2026Article
- Reimagining computational macromolecular modeling: AI-driven approaches.Biophysical journal · 2026Review
- New anti-fungal compounds 1PB1 and 45R from Streptomyces chrestomyceticus ADP4 target exo-β-1,3-glucanase and ergosterol biosynthesis in Candida albicans.The Journal of antibiotics · 2026Article
1,091 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
2 authors.
Funding
Abstract
The impact of molecular dynamics (MD) simulations in molecular biology and drug discovery has expanded dramatically in recent years. These simulations capture the behavior of proteins and other biomolecules in full atomic detail and at very fine temporal resolution. Major improvements in simulation speed, accuracy, and accessibility, together with the proliferation of experimental structural data, have increased the appeal of biomolecular simulation to experimentalists-a trend particularly noticeable in, although certainly not limited to, neuroscience. Simulations have proven valuable in deciphering functional mechanisms of proteins and other biomolecules, in uncovering the structural basis for disease, and in the design and optimization of small molecules, peptides, and proteins. Here we describe, in practical terms, the types of information MD simulations can provide and the ways in which they typically motivate further experimental work.
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.