ArticlePhysical review. X
Free-Propagator Reweighting Integrator for Single-Particle Dynamics in Reaction-Diffusion Models of Heterogeneous Protein-Protein Interaction Systems.
Article in Physical review. X. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed.
- Parallelization of Particle-Based Reaction-Diffusion Simulations Using MPI.Journal of computational chemistry · 2025Article
- Article
- Temporal control by cofactors prevents kinetic trapping in retroviral Gag lattice assembly.Biophysical journal · 2023Article
- Structure of the HIV immature lattice allows for essential lattice remodeling within budded virions.eLife · 2023Article
- Large self-assembled clathrin lattices spontaneously disassemble without sufficient adaptor proteins.PLoS computational biology · 2022Article
- Speed limits of protein assembly with reversible membrane localization.The Journal of chemical physics · 2021Article
- Concentration sensing in crowded environments.Biophysical journal · 2021Article
- Space-time histories approach to fast stochastic simulation of bimolecular reactions.The Journal of chemical physics · 2021Article
- Quantifying the roles of space and stochasticity in computer simulations for cell biology and cellular biochemistry.Molecular biology of the cell · 2021Article
- NERDSS: A Nonequilibrium Simulator for Multibody Self-Assembly at the Cellular Scale.Biophysical journal · 2020Article
- Potential based, spatial simulation of dynamically nested particles.BMC bioinformatics · 2019Article
- An implicit lipid model for efficient reaction-diffusion simulations of protein binding to surfaces of arbitrary topology.The Journal of chemical physics · 2019Article
- Cytosolic proteins can exploit membrane localization to trigger functional assembly.PLoS computational biology · 2018Article
- Unified path integral approach to theories of diffusion-influenced reactions.Physical review. E · 2017Article
- Theory of bi-molecular association dynamics in 2D for accurate model and experimental parameterization of binding rates.The Journal of chemical physics · 2015Article
- Pitching single-focus confocal data analysis one photon at a time with Bayesian nonparametrics.Physical review. XArticle
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
We present a new algorithm for simulating reaction-diffusion equations at single-particle resolution. Our algorithm is designed to be both accurate and simple to implement, and to be applicable to large and heterogeneous systems, including those arising in systems biology applications. We combine the use of the exact Green's function for a pair of reacting particles with the approximate free-diffusion propagator for position updates to particles. Trajectory reweighting in our free-propagator reweighting (FPR) method recovers the exact association rates for a pair of interacting particles at all times. FPR simulations of many-body systems accurately reproduce the theoretically known dynamic behavior for a variety of different reaction types. FPR does not suffer from the loss of efficiency common to other path-reweighting schemes, first, because corrections apply only in the immediate vicinity of reacting particles and, second, because by construction the average weight factor equals one upon leaving this reaction zone. FPR applications include the modeling of pathways and networks of protein-driven processes where reaction rates can vary widely and thousands of proteins may participate in the formation of large assemblies. With a limited amount of bookkeeping necessary to ensure proper association rates for each reactant pair, FPR can account for changes to reaction rates or diffusion constants as a result of reaction events. Importantly, FPR can also be extended to physical descriptions of protein interactions with long-range forces, as we demonstrate here for Coulombic interactions.
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.