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Electrical Engineering

Synthesis of programmable biological central processing system

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Pages 104-118 | Received 01 May 2020, Accepted 16 Nov 2020, Published online: 26 Dec 2020
 

ABSTRACT

Along with the rapid development of synthetic biology, the technology of biological computers has become increasingly mature in recent years. In this paper, we propose a structure for a biological central processing unit (Bio-CPU) based on biological binary computing features. The Bio-CPU is constructed from a class of biological circuits with specific functions and a genetic clock source to trigger a series of sequential steps. The biological logic gates change their outputs at two protein concentration levels (active and inactive statuses), and the genetic clock provides a periodic signal to synchronize actions of related biological sequential logic circuits. Design of the Bio-CPU partly imitates a silicon CPU with modifications to fit the features of biological units. The proposed structure consists of three major parts: a biological arithmetic logic unit (Bio-ALU), a biological control unit (Bio-CU), and a biological memory unit (Bio-MU). Biological details of the system synthesis are explained. Demonstrations have been conducted and presented to illustrate the function of each functional module.

Nomenclature

Ãi=

Fourier coefficient

hi=

Hill coefficients related to the cooperativity between TF protein inputs and the corresponding biding sites

K1=

independent binding strength of regulator X1 to the promoter

KR=

independent binding strength of RNA polymerase to the promoter

M=

sum of the total number of harmonics

mi=

concentration of mRNA

n=

Hill coefficient

pi, pj=

protein concentrations of three genes

R=

RNA polymerase concentration

si=

shaping coefficients

t=

time

wij=

effect of environmental noises

X=

single TF protein input

X1=

concentrations of regulator

α=

maximal production

α0=

leakiness of promoter

αi=

transcription rate of mRNA

β=

degradation rate constant

γpi=

decay rates of proteins

γmi=

decay rates of mRNA

η=

ratio of protein decay rate to the mRNA decay rate

ωi=

cycle frequency

Disclosure statement

No potential conflict of interest was reported by the authors.

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