Creating Silicon Mimetics of Genetic Circuits (PhD Thesis) (Record no. 364080)

MARC details
000 -LEADER
fixed length control field 02771nam a2200205Ia 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 210226s2020||||xx |||||||||||||| ||eng||
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
ISSN-L phd
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title English
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 572.80285378242
Item number URO
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Urooj Ainuddin,
Relator term author
245 #0 - TITLE STATEMENT
Title Creating Silicon Mimetics of Genetic Circuits (PhD Thesis)
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Karachi :
Name of publisher, distributor, etc. NED University of Engineering and Technology Department of Computer and Information Systems Engineering,
Date of publication, distribution, etc. 2020
300 ## - PHYSICAL DESCRIPTION
Extent XIV, 158 p.
Other physical details : ill
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes Bibliographical References
520 ## - SUMMARY, ETC.
Summary, etc. Abstract :<br/> <br/>This research delves into the fertile domain of systems biology, where processes taking place in living cells are probed and parallels for them are drawn using the language of mathematics. Lately, researchers have started porting these processes to electronic circuits. <br/>This work deals with the study and modeling of biological systems, creating analogues for them in the digital world. It uses the finite state machine FSM) to model genetic mechanisms. It also explores the stochastic nature of these circuits by fashioning them into Markov chains. <br/>The research is focused on bistable genetic switches and their conversion to digital machines and Markov chains. Three genetic switches have been used as modeling subjects: the Collins toggle switch, the lambda (λ) switch, and the lac operon. Digital models in the form of finite state machines have been designed to mimic the original switch's response to concentrations of interacting proteins. Functionality of the digital switches has been elaborated with extensive truth tables of the models. Moreover, cellular noise, inherent to all genetic processes, has been incorporated by developing Markov chains :er the switches. Steady state analysis of the Markov transition matrix has been conducted for the models. Agreement in response of the genetic switch and the steady state results validates the proposed design strategy. <br/>The motivation for this study is the hope that scientists will be able to transfer processes from the cytoplasmic mix to field-programmable gate arrays (FPGAs), which would not only expand the horizons of systems biology, but will also make inroads in synthetic biology, helping to convert a finite automaton back to a synthetic genetic circuit. The beneficiaries of the work are medical and pharmaceutical researchers engaged in disease identification and drug design. Digital and Markovian modeling paradigms will help in exploration of states of genetic circuits, identification of drug targets, and elaboration of diseased conditions in terms of system variables and probabilities. <br/>
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Design Silicon Mimetic Thesis
9 (RLIN) 121633
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Genetic Circuit Thesis
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computational Modeling Thesis
9 (RLIN) 882825
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type PHD Thesis
Source of classification or shelving scheme Dewey Decimal Classification
Holdings
Withdrawn status Lost status Physical Form Damaged status Not for loan Home library Current library Shelving location Date acquired Stock Type Total Checkouts Full call number Barcode Date last seen Accession Date Koha item type
    Text, Hardcover     Government Document Section Government Document Section Govt Publication Section 20/10/2022 Donation   572.80285378242 URO 96855 20/10/2022 26/02/2021 Reference Collection
    Text, Hardcover     Government Document Section Government Document Section Govt Publication Section 20/10/2022 Donation   572.80285378242 URO 96856 20/10/2022 26/02/2021 Reference Collection