The DOI matches its Crossref record; 89 of the 89 references it cites were found in a registry or an index.
Physics of transport and traffic phenomena in biology: from molecular motors and cells to organisms
Open accessAbstract
Abstract Traffic-like collective movements are observed at almost all levels of biological systems. Molecular motor proteins like, for example, kinesin and dynein, which are the vehicles of almost all intra-cellular transport in eukaryotic cells, sometimes encounter traffic jam that manifests as a disease of the organism. Similarly, traffic jam of collagenase MMP-1, which moves on the collagen fibrils of the extracellular matrix of vertebrates, has also been observed in recent experiments. Novel efforts have been made to utilize some uni-cellular organisms as “micro-transporters”. Traffic-like movements of social insects like ants and termites on trails are, perhaps, more familiar in our everyday life. Experimental, theoretical and computational investigations in the last few years have led to a deeper understanding of the generic or common physical principles involved in these phenomena. In this review we critically examine the current status of our understanding, expose the limitations of the existing methods, mention open challenging questions and speculate on the possible future directions of research in this interdisciplinary area where physics meets not only chemistry and biology but also (nano-)technology.
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Cites
Social force model for pedestrian dynamics
Helbing, D., & Molnár, P. (1995) · Physical Review E · doi:10.1103/physreve.51.4282 · Cited by 6,845
Simulating dynamical features of escape panic
Helbing, D., Farkas, I., & Vicsek, T. (2000) · Nature · doi:10.1038/35035023 · Cited by 4,916
Nagase, H., & Woessner, J. F. (1999) · Journal of Biological Chemistry · doi:10.1074/jbc.274.31.21491 · Cited by 3,912
Traffic and related self-driven many-particle systems
Helbing, D. (2001) · Reviews of Modern Physics · doi:10.1103/revmodphys.73.1067 · Cited by 3,245
Ant Algorithms for Discrete Optimization
Dorigo, M., Caro, G. D., & Gambardella, L. M. (1999) · Artificial Life · doi:10.1162/106454699568728 · Cited by 2,808
Brownian motors: noisy transport far from equilibrium
Reimann, P. (2002) · Physics Reports · doi:10.1016/s0370-1573(01)00081-3 · Cited by 2,589
Statistical physics of vehicular traffic and some related systems
Chowdhury, D. (2000) · Physics Reports · doi:10.1016/s0370-1573(99)00117-9 · Cited by 2,298
Self-citationJülicher, F., Ajdari, A., & Prost, J. (1997) · Reviews of Modern Physics · doi:10.1103/revmodphys.69.1269 · Cited by 1,870
Simulation of pedestrian dynamics using a two-dimensional cellular automaton
Burstedde, C., Klauck, K., Schadschneider, A., & Zittartz, J. (2001) · Physica A: Statistical Mechanics and its Applications · doi:10.1016/s0378-4371(01)00141-8 · Cited by 1,769
Self-citationExact solution of a 1D asymmetric exclusion model using a matrix formulation
Derrida, B., Evans, M. R., Hakim, V, & Pasquier, V (1993) · Journal of Physics A: Mathematical and General · doi:10.1088/0305-4470/26/7/011 · Cited by 1,289
Metadata
- Authors
- Chowdhury, D., Schadschneider, A., & Nishinari, K.
- Venue
- Physics of Life Reviews
- Publisher
- Elsevier BV
- Published
- 2005-12
- Volume
- 2
- Issue
- 4
- Pages
- 318-352
- ISSN
- 1571-0645 (ISSN-L)
- OpenAlex
- W2058587840
- Cited by
- 313
- References
- 89
- FWCI
- 3.96
- Type
- journal article
- Language
- en
- Open access
- green
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