ArticlePhysical review letters2009
Trajectory approach to two-state kinetics of single particles on sculpted energy landscapes.
Article in Physical review letters, 2009. 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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Who cites it
9 citing papers in PubMed.
- The Trajectory Statistics of Biological Exploratory Dynamics.bioRxiv : the preprint server for biology · 2026Article
- MaxCal can infer models from coupled stochastic trajectories of gene expression and cell division.Biophysical journal · 2023Article
- Inferring potential landscapes from noisy trajectories of particles within an optical feedback trap.iScience · 2022Article
- Use and Abuse of Entropy in Biology: A Case for Caliber.Entropy (Basel, Switzerland) · 2020Article
- The Maximum Caliber Variational Principle for Nonequilibria.Annual review of physical chemistry · 2020Review
- Sculpting nanoparticle dynamics for single-bacteria-level screening and direct binding-efficiency measurement.Nature communications · 2018Article
- Building Predictive Models of Genetic Circuits Using the Principle of Maximum Caliber.Biophysical journal · 2017Article
- When Brownian diffusion is not Gaussian.Nature materials · 2012Article
- Modeling stochastic dynamics in biochemical systems with feedback using maximum caliber.The journal of physical chemistry. B · 2011Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
We study the trajectories of a single colloidal particle as it hops between two energy wells which are sculpted using optical traps. Whereas the dynamical behaviors of such systems are often treated by master-equation methods that focus on particles as actors, we analyze them instead using a trajectory-based variational method called maximum caliber (MaxCal). We show that the MaxCal strategy accurately predicts the full dynamics that we observe in the experiments: From the observed averages, it predicts second and third moments and covariances, with no free parameters. The covariances are the dynamical equivalents of Maxwell-like equilibrium reciprocal relations and Onsager-like dynamical relations.
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Registered trials
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