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Molecular quantum robotics: particle and wave solutions, illustrated by “leg-over-leg” walking along microtubules

Overview of attention for article published in Frontiers in Neurorobotics, May 2015
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Title
Molecular quantum robotics: particle and wave solutions, illustrated by “leg-over-leg” walking along microtubules
Published in
Frontiers in Neurorobotics, May 2015
DOI 10.3389/fnbot.2015.00002
Pubmed ID
Authors

Paul Levi

Abstract

Remarkable biological examples of molecular robots are the proteins kinesin-1 and dynein, which move and transport cargo down microtubule "highways," e.g., of the axon, to final nerve nodes or along dendrites. They convert the energy of ATP hydrolysis into mechanical forces and can thereby push them forwards or backwards step by step. Such mechano-chemical cycles that generate conformal changes are essential for transport on all different types of substrate lanes. The step length of an individual molecular robot is a matter of nanometers but the dynamics of each individual step cannot be predicted with certainty (as it is a random process). Hence, our proposal is to involve the methods of quantum field theory (QFT) to describe an overall reliable, multi-robot system that is composed of a huge set of unreliable, local elements. The methods of QFT deliver techniques that are also computationally demanding to synchronize the motion of these molecular robots on one substrate lane as well as across lanes. Three different challenging types of solutions are elaborated. The impact solution reflects the particle point of view; the two remaining solutions are wave based. The second solution outlines coherent robot motions on different lanes. The third solution describes running waves. Experimental investigations are needed to clarify under which biological conditions such different solutions occur. Moreover, such a nano-chemical system can be stimulated by external signals, and this opens a new, hybrid approach to analyze and control the combined system of robots and microtubules externally. Such a method offers the chance to detect mal-functions of the biological system.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 5%
Unknown 18 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 42%
Student > Doctoral Student 4 21%
Student > Master 2 11%
Professor 1 5%
Student > Ph. D. Student 1 5%
Other 0 0%
Unknown 3 16%
Readers by discipline Count As %
Environmental Science 3 16%
Medicine and Dentistry 2 11%
Materials Science 2 11%
Computer Science 2 11%
Economics, Econometrics and Finance 1 5%
Other 6 32%
Unknown 3 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 May 2015.
All research outputs
#22,759,452
of 25,374,647 outputs
Outputs from Frontiers in Neurorobotics
#777
of 1,039 outputs
Outputs of similar age
#239,313
of 279,160 outputs
Outputs of similar age from Frontiers in Neurorobotics
#3
of 3 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,039 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.