ArticleAnnual review of statistics and its application2014
Statistics and Related Topics in Single-Molecule Biophysics.
Article in Annual review of statistics and its application, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Bayesian analysis and efficient algorithms for single-molecule fluorescence data and step counting.Biophysical journal · 2025Article
- Bayesian analysis and efficient algorithms for single-molecule fluorescence data and step counting.bioRxiv : the preprint server for biology · 2025Article
- Nanodisc single-molecule pulldown to study lipid-protein interactions.Journal of lipid research · 2025Article
- Statistical analysis of ENDOR spectra.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Stochasticity in Single-Entity Electrochemistry.Current opinion in electrochemistry · 2021Article
- DNA replication:Computational and structural biotechnology journal · 2021Review
- Quantifying the flux as the driving force for nonequilibrium dynamics and thermodynamics in non-Michaelis-Menten enzyme kinetics.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- Plasmon-Enhanced Single-Molecule Enzymology.ACS photonics · 2018Article
- Quantum Modeling: A Bridge between the Pumping and Signaling Functions of Na/K-ATPase.International journal of molecular sciences · 2018Article
- Thermodynamics of voltage-gated ion channels.Biophysics reports · 2018Article
- Cascading MutS and MutL sliding clamps control DNA diffusion to activate mismatch repair.Nature · 2016Article
- Stochastic dynamic study of optical transition properties of single GFP-like molecules.Journal of biological physics · 2016Article
- Analyzing Single-Molecule Protein Transportation Experiments via Hierarchical Hidden Markov Models.Journal of the American Statistical Association · 2016Article
- Stepwise Signal Extraction via Marginal Likelihood.Journal of the American Statistical Association · 2016Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Since the universal acceptance of atoms and molecules as the fundamental constituents of matter in the early twentieth century, molecular physics, chemistry and molecular biology have all experienced major theoretical breakthroughs. To be able to actually "see" biological macromolecules, one at a time in action, one has to wait until the 1970s. Since then the field of single-molecule biophysics has witnessed extensive growth both in experiments and theory. A distinct feature of single-molecule biophysics is that the motions and interactions of molecules and the transformation of molecular species are necessarily described in the language of stochastic processes, whether one investigates equilibrium or nonequilibrium living behavior. For laboratory measurements following a biological process, if it is sampled over time on individual participating molecules, then the analysis of experimental data naturally calls for the inference of stochastic processes. The theoretical and experimental developments of single-molecule biophysics thus present interesting questions and unique opportunity for applied statisticians and probabilists. In this article, we review some important statistical developments in connection to single-molecule biophysics, emphasizing the application of stochastic-process theory and the statistical questions arising from modeling and analyzing experimental data.
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Registered trials
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