Power Analysis of an mRNA-Ribosome System

EasyChair Preprint 293

Abstract

Energy is the heart to drive any device, such as any machine. As researchers have been trying to perform low energy operations more and more, energy requirements are turning out to be one of the key features in measuring the performance of a device. On the other hand, as conventional silicon-based computing is approaching a barrier, needs of non-conventional computing is increasing. Though several such computing platforms have arisen to prove itself as a suitable alternative to silicon-based computing, less energy requirement is certainly one of the most sought features in the competition among the new platforms. Moreover, there are certain scenarios where performing calculations in pure bio-molecular ways are highly desired. Although DNA computing has already flagged the success of bio-molecular computing in terms of energy/power requirement, its manual nature keeps it behind from other computing techniques. Another new bio-molecular computing technique Ribosomal Computing, though still in infancy, has shown real promises due to its inherent automation. This work performs an analysis of the energy/power requirements of this computing technique. With the promising result obtained, ribosomal computing can claim itself as a promising computing technique, if combined with its inherent automation.

Keyphrases: Energy modeling and analysis, Ribosomal Computing, mRNA-Ribosome system, sequential logic

@booklet{EasyChair:293,
  author    = {Pratima Chatterjee and Prasun Ghosal},
  title     = {Power Analysis of an mRNA-Ribosome System},
  doi       = {10.29007/kzfd},
  howpublished = {EasyChair Preprint 293},
  year      = {EasyChair, 2018}}