ReviewBiophysical journal2013
Modeling stochastic kinetics of molecular machines at multiple levels: from molecules to modules.
Review in Biophysical journal, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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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
9 citing papers in PubMed, 33 citations in OpenAlex.
- Transcription-translation coupling: Traveling a road under construction.Biophysical journal · 2023Article
- Motor guidance by long-range communication on the microtubule highway.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Modeling spatiotemporally varying protein-protein interactions in CyLaKS, the Cytoskeleton Lattice-based Kinetic Simulator.The European physical journal. E, Soft matter · 2021Article
- Effect of fuel concentration and force on collective transport by a team of dynein motors.Protein science : a publication of the Protein Society · 2017Article
- Phase-plane analysis of the totally asymmetric simple exclusion process with binding kinetics and switching between antiparallel lanes.Physical review. E · 2016Article
- Motor Protein Accumulation on Antiparallel Microtubule Overlaps.Biophysical journal · 2016Article
- Quantitative Connection between Ensemble Thermodynamics and Single-Molecule Kinetics: A Case Study Using Cryogenic Electron Microscopy and Single-Molecule Fluorescence Resonance Energy Transfer Investigations of the Ribosome.The journal of physical chemistry. B · 2015Article
- Fractal globules: a new approach to artificial molecular machines.Biophysical journal · 2014Article
- Mechanical operation and intersubunit coordination of ring-shaped molecular motors: insights from single-molecule studies.Biophysical journal · 2014Article
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
A molecular machine is either a single macromolecule or a macromolecular complex. In spite of the striking superficial similarities between these natural nanomachines and their man-made macroscopic counterparts, there are crucial differences. Molecular machines in a living cell operate stochastically in an isothermal environment far from thermodynamic equilibrium. In this mini-review we present a catalog of the molecular machines and an inventory of the essential toolbox for theoretically modeling these machines. The tool kits include 1), nonequilibrium statistical-physics techniques for modeling machines and machine-driven processes; and 2), statistical-inference methods for reverse engineering a functional machine from the empirical data. The cell is often likened to a microfactory in which the machineries are organized in modular fashion; each module consists of strongly coupled multiple machines, but different modules interact weakly with each other. This microfactory has its own automated supply chain and delivery system. Buoyed by the success achieved in modeling individual molecular machines, we advocate integration of these models in the near future to develop models of functional modules. A system-level description of the cell from the perspective of molecular machinery (the mechanome) is likely to emerge from further integrations that we envisage here.
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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.