Publica
Hier finden Sie wissenschaftliche Publikationen aus den FraunhoferInstituten. Fabrication and operation of proteinpowered biocomputation using nanostructured networks
 Otto, T. ; Messe Frankfurt; FraunhoferInstitut für Elektronische Nanosysteme ENAS, Chemnitz; FraunhoferInstitut für Zuverlässigkeit und Mikrointegration IZM, Berlin: Smart Systems Integration 2018. International Conference and Exhibition on Integration Issues of Miniaturized Systems : Dresden, Germany, 11  12 April 2018 Auerbach /Vogtl.: Verlag Wissenschaftliche Scripten, 2018 ISBN: 9783957350824 ISBN: 3957350824 ISBN: 9781510867710 (Ausgabe bei Curran) S.102109 
 International Conference and Exhibition on Integration Issues of Miniaturized Systems <2018, Dresden> Smart Systems Integration Conference (SSI) <2018, Dresden> 

 Englisch 
 Konferenzbeitrag 
 Fraunhofer ENAS () 
Abstract
Although conventional computer technology made a huge leap forward in the past decade, a vast number of computational problems remain inaccessible due to their inherently complex nature. One solution to deal with this computational complexity is to highly parallelize computations and to explore new technologies beyond semiconductor computers. Here, we report on the operation of a device employing a biological computation approach that solves an instance of a classical nondeterministicpolynomialtime complete ("NPcomplete") problem, subset sum problem. This new approach called networkbased biocomputation (NBC) consists of a specifically designed nanostructured network that encodes an instance of the subsetsum problem. The network is then simultaneously explored by a large number of molecularmotordriven protein filaments, whose path through the network determines the solution of the given subsetsum problem in a time and energy efficient manner. The nanofabricated structures rely on a combination of physical and chemical guiding of the microtubules through channels. Therefore, the nanochannels have to meet tight requirements for the biochemical treatment as well as the microtubule guidance. The material stack used for the nanochannels ensures that the motor protein kinesin1 attaches only at the floor of the nanochannels. Further optimizations in the nanofabrication have greatly improved the smoothness of channel floor and walls, while optimizations in motorprotein expression and purification have improved the activity of the motor proteins. Together, these optimizations provide us with the opportunity to increase the complexity as well as the reliability of our devices. In the future, this will allow the fabrication and operation of largescale networks, intended to solve computational problems that are currently too time and energyconsuming for conventional computers.