ReviewCurrent opinion in structural biology2018
Advances in coarse-grained modeling of macromolecular complexes.
Review in Current opinion in structural biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 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.
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Who cites it
68 citing papers in PubMed.
- Building RNA coarse-grained force fields: Design principles and training strategies.Biophysical journal · 2026Review
- Statistical Mechanics of Density- and Temperature-Dependent Potentials: Application to Condensed Phases within GenDPDE.Journal of chemical theory and computation · 2026Article
- Collective fluctuations underlying nanobody inhibitory activity targetingbioRxiv : the preprint server for biology · 2026Article
- Martini Mapper: An Automated Fragment-Based Mapping Algorithm for Developing Coarse-Grained Models within the Martini 3 Framework.Journal of chemical information and modeling · 2026Article
- Active subspace learning for coarse-grained molecular dynamics.The Journal of chemical physics · 2026Article
- Graph Neural Networks for Polymer Characterization and Property Prediction: Opportunities and Challenges.Journal of chemical information and modeling · 2026Review
- Computational methods in physical virology: a critical perspective across lengths and timescales.FEMS microbiology reviews · 2026Review
- Bridging Scales: Coarse-Grained Protein Models in Computational Biology.Advances in experimental medicine and biology · 2026Review
- Decoding intrinsically disordered regions in biomolecular condensates.Fundamental research · 2026Review
- Studying the Protein-Membrane Interaction of a Mycobacterial ABC Transporter Through Coarse-Grained Simulations.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Active subspace learning for coarse-grained molecular dynamics.bioRxiv : the preprint server for biology · 2025Article
- Automated parametrization of small molecules within the Martini 3 coarse-grained model guided by experimental log P values.Scientific reports · 2025Article
- The Brownian dynamics simulator PyRID for reacting and interacting particles written in Python.Cell reports methods · 2025Article
- Design and Characterization of DNA-Driven Condensates: Regulating Topology, Mechanical Properties, and Immunorecognition.ACS applied materials & interfaces · 2025Article
- Tutorial on integrative spatiotemporal modeling by integrative modeling platform.Protein science : a publication of the Protein Society · 2025Article
- Integrative spatiotemporal modeling of biomolecular processes: Application to the assembly of the nuclear pore complex.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- COCOMO2: A Coarse-Grained Model for Interacting Folded and Disordered Proteins.Journal of chemical theory and computation · 2025Article
- Understanding the coarse-grained free energy landscape of phospholipids and their phase separation.Biophysical journal · 2025Article
- Molecular Crowding by Computational Approaches.Sub-cellular biochemistry · 2025Review
- Molecular dynamics and machine learning stratify motion-dependent activity profiles of S-layer destabilizing nanobodies.PNAS nexus · 2024Article
8 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
Recent progress in coarse-grained (CG) molecular modeling and simulation has facilitated an influx of computational studies on biological macromolecules and their complexes. Given the large separation of length-scales and time-scales that dictate macromolecular biophysics, CG modeling and simulation are well-suited to bridge the microscopic and mesoscopic or macroscopic details observed from all-atom molecular simulations and experiments, respectively. In this review, we first summarize recent innovations in the development of CG models, which broadly include structure-based, knowledge-based, and dynamics-based approaches. We then discuss recent applications of different classes of CG models to explore various macromolecular complexes. Finally, we conclude with an outlook for the future in this ever-growing field of biomolecular modeling.
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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.