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Nanoscale Molecular Transport by Synthetic DNA Machines

Shin, Jong-Shik and Pierce, Niles A. (2006) Nanoscale Molecular Transport by Synthetic DNA Machines. In: Nanotechnology: Science and Computation. Natural Computing Series. Springer , Berlin, pp. 175-188. ISBN 978-3-540-30295-7. https://resolver.caltech.edu/CaltechAUTHORS:20191015-134801443

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Abstract

Biological systems have evolved motor proteins programmed to perform intracellular transport powered by ATP hydrolysis [23, 14]. Striding along a microtubule with a hand-over-hand gait and a step size of ≈8 nm [26], kinesin is capable of taking ≈100 steps per second, typically negotiating ≈100 steps before falling off the microtubule [4]. Replicating these performance characteristics with a synthetic mimic presents a daunting challenge to molecular engineers pursuing programmable active transport as a means to assembling or probing nanoscale systems.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
https://doi.org/10.1007/3-540-30296-4_11DOIArticle
ORCID:
AuthorORCID
Pierce, Niles A.0000-0003-2367-4406
Additional Information:© 2006 Springer-Verlag Berlin Heidelberg. This work was supported by DARPA and the Air Force Research Laboratory, the Ralph M. Parsons Foundation, the Charles Lee Powell Foundation, and the Caltech Center for Biological Circuit Design.
Funders:
Funding AgencyGrant Number
Defense Advanced Research Projects Agency (DARPA)UNSPECIFIED
Air Force Research Laboratory (AFRL)UNSPECIFIED
Ralph M. Parsons FoundationUNSPECIFIED
Charles Lee Powell FoundationUNSPECIFIED
Caltech Center for Biological Circuit DesignUNSPECIFIED
Subject Keywords:Apparent Rate Constant; Walker Movement; Periodic Track; Wavelength Pair; Cargo Transport
Series Name:Natural Computing Series
Record Number:CaltechAUTHORS:20191015-134801443
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20191015-134801443
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:99277
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:15 Oct 2019 22:38
Last Modified:15 Oct 2019 22:38

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