Cloning the λ Switch: Digital and Markov Representations
| Autor: | Urooj Ainuddin, Muhammad Khurram, S. M. Rezaul Hasan |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Biomedical Engineering
Pharmaceutical Science Medicine (miscellaneous) Markov process Bioengineering 02 engineering and technology Computational biology Lambda Markov model Models Biological chemistry.chemical_compound symbols.namesake Computers Molecular Escherichia coli Nanotechnology Viral Regulatory and Accessory Proteins Electrical and Electronic Engineering Lysogeny Polymerase Physics Finite-state machine Models Statistical Markov chain biology Lambda phage 021001 nanoscience & nanotechnology biology.organism_classification Bacteriophage lambda Markov Chains Computer Science Applications Repressor Proteins chemistry symbols biology.protein 0210 nano-technology DNA Biotechnology |
| Zdroj: | IEEE transactions on nanobioscience. 18(3) |
| ISSN: | 1558-2639 |
| Popis: | The lysis-lysogeny switch in E. coli due to infection from lambda phage has been extensively studied and explained by scientists of molecular biology. The bacterium either survives with the viral strand of deoxyribonucleic acid (DNA) or dies producing hundreds of viruses for propagation of infection. Many proteins transcribed after infection by $\lambda $ phage take part in determining the fate of the bacterium, but two proteins that play a key role in this regard are the cI and cro dimers, which are transcribed off the viral DNA. This paper presents a novel modeling mechanism for the lysis-lysogeny switch, by transferring the interactions of the main proteins, the lambda right operator and promoter regions and the ribonucleic acid (RNA) polymerase, to a finite state machine (FSM), to determine cell fate. The FSM, and thus derived is implemented in field-programmable gate array (FPGA), and simulations have been run in random conditions. A Markov model has been created for the same mechanism. Steady state analysis has been conducted for the transition matrix of the Markov model, and the results have been generated to show the steady state probability of lysis with various model values. In this paper, it is hoped to lay down guidelines to convert biological processes into computing machines. |
| Databáze: | OpenAIRE |
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