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SEMINAR: School of Chemistry and Biochemistry Seminar

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Today's date is Friday, March 29, 2024
School of Chemistry and Biochemistry Seminar : From Molecular Motors To Fungal Intelligence Other events...
Protein molecular motors are natural nano-machines that convert the chemical energy obtained from the hydrolysis of adenosine triphosphate (ATP) into mechanical work which is central to cellular motion, muscle contraction, cell division and a multitude of other critical biological processes. Remarkably, protein molecular motors differ fundamentally from artificial devices in that the conversion from chemical energy to mechanical energy is done directly, rather than via an intermediary state as in e.g., heat for thermal engines. This fundamental difference results in a far better efficiency (close to 100%, for both linear and rotary motors) of these natural mechanical devices compared to artificial ones. This exceptional efficiency, together with the small scale of protein molecular motors, has prompted an increasing number of studies focused on their integration in hybrid micro- and nanodevices. However, and despite tremendous progress in the engineering of molecular motors, much needs to be learnt from Nature, in particular regarding the cooperative behaviour of molecular motors in vivo, before coming even close to efficiency in in vitro devices.

Filamentous fungi are very successful in colonizing micro-confined maze-like networks (e.g., soil, wood, leaf litter, plant and animal tissues), suggesting that they may be efficient solving agents of geometrical problems. The growth behaviour and optimality of space-searching algorithms of several fungal species has been tested in microfluidic mazes and networks. First, it was found that the growth behaviour of all species was strongly modulated by the geometry of micro-confinement. Second, the fungi used a complex growth and space-searching strategy comprising two algorithmic subsets: (i) long-range directional memory of individual hyphae and (ii) inducement of branching by physical obstruction. Third, stochastic simulations using experimentally measured parameters showed that this strategy maximizes both survival and biomass homogeneity in micro-confined networks, producing optimal results only when both algorithms are synergistically
Speaker(s) Prof. Dan V. Nicolau,
Location Bayliss Building Lecture Theatre G33
Contact swaminatha iyer <[email protected]> : 4470
Start Tue, 10 Jul 2012 12:00
End Tue, 10 Jul 2012 13:00
Submitted by scbevents <[email protected]>
Last Updated Thu, 12 Jul 2012 13:52
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