ReviewAnnual review of physical chemistry2020
The Maximum Caliber Variational Principle for Nonequilibria.
Review in Annual review of physical chemistry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 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
25 citing papers in PubMed.
- The Trajectory Statistics of Biological Exploratory Dynamics.bioRxiv : the preprint server for biology · 2026Article
- A principled basis for nonequilibrium network flows.Nature communications · 2026Article
- Modeling and inferring metacommunity dynamics with Maximum Caliber.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Generative AI for computational chemistry: A roadmap to predicting emergent phenomena.Proceedings of the National Academy of Sciences of the United States of America · 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
- Predicting the Rate Structure of an Evolved Metabolic Network.Metabolites · 2025Article
- MaxCal can infer models from coupled stochastic trajectories of gene expression and cell division.Biophysical journal · 2023Article
- Reweighted Manifold Learning of Collective Variables from Enhanced Sampling Simulations.Journal of chemical theory and computation · 2022Article
- Path sampling of recurrent neural networks by incorporating known physics.Nature communications · 2022Article
- The maximum entropy principle for compositional data.BMC bioinformatics · 2022Article
- A Hierarchy of Probability, Fluid and Generalized Densities for the Eulerian Velocivolumetric Description of Fluid Flow, for New Families of Conservation Laws.Entropy (Basel, Switzerland) · 2022Article
- Estimation of binding rates and affinities from multiensemble Markov models and ligand decoupling.The Journal of chemical physics · 2022Article
- An update on passive transport in and out of plant cells.Plant physiology · 2021Review
- Dynamic maximum entropy provides accurate approximation of structured population dynamics.PLoS computational biology · 2021Article
- A gentle introduction to the non-equilibrium physics of trajectories: Theory, algorithms, and biomolecular applications.American journal of physics · 2021Article
- Integrating single-molecule spectroscopy and simulations for the study of intrinsically disordered proteins.Methods (San Diego, Calif.) · 2021Article
- Close to Optimal Cell Sensing Ensures the Robustness of Tissue Differentiation Process: The Avian Photoreceptor Mosaic Case.Entropy (Basel, Switzerland) · 2021Article
- Critical Comparison of MaxCal and Other Stochastic Modeling Approaches in Analysis of Gene Networks.Entropy (Basel, Switzerland) · 2021Article
- Pepsin-like aspartic proteases (PAPs) as model systems for combining biomolecular simulation with biophysical experiments.RSC advances · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Ever since Clausius in 1865 and Boltzmann in 1877, the concepts of entropy and of its maximization have been the foundations for predicting how material equilibria derive from microscopic properties. But, despite much work, there has been no equally satisfactory general variational principle for nonequilibrium situations. However, in 1980, a new avenue was opened by E.T. Jaynes and by Shore and Johnson. We review here maximum caliber, which is a maximum-entropy-like principle that can infer distributions of flows over pathways, given dynamical constraints. This approach is providing new insights, particularly into few-particle complex systems, such as gene circuits, protein conformational reaction coordinates, network traffic, bird flocking, cell motility, and neuronal firing.
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.