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Facilitated Target Location in Biological Systems

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von Hippel, P H, Berg, O G·1989·Journal of Biological Chemistry

Abstract

In this minireview we have attempted to provide some overall perspective on the question of how various forms of diffusion in reduced dimensions, or diffusion within a nonspecifically bound state, can speed biological interactions beyond the limits normally set by three-dimensional diffusion processes. To this end we began by discussing the rates expected for small molecules engaged in classical elastic collisions. We then proceeded to modify this picture by introducing first the features of inelastic macromolecular collisions in solution, then the effects of specific electrostatic fields set up around macromolecules of known structure at low ionic strengths, and finally the special rate enhancements available to DNA-protein interactions because of the particular geometry of the DNA molecule and the multiple conformations that can be assumed by the protein component. We hope that this exposition will help to clarify the subject for others and also will stimulate more focused examination of this type of problem, both in DNA-protein interaction systems and in other biological systems where such rate facilitation might apply.

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Metadata

Authors
von Hippel, P. H., & Berg, O. G.
Venue
Journal of Biological Chemistry
Publisher
Elsevier BV
Published
1989-01
Volume
264
Issue
2
Pages
675-678
ISSN
0021-9258 (ISSN-L)
OpenAlex
W2136716105
Cited by
1,030
References
0
FWCI
6.57
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Facilitated Target Location in Biological Systems. https://app.cochat.ai/papers/10.1016/s0021-9258(19)84994-3
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von Hippel, P. H., & Berg, O. G. (1989). Facilitated Target Location in Biological Systems. Journal of Biological Chemistry. https://doi.org/10.1016/s0021-9258(19)84994-3

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.