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Durmaz MG, Tulluk N, Aksoy RD, Yilmaz HB, Yang B, Wipat A, Pusane AE, Mısırlı G, Tugcu T. BioRxToolbox: a computational framework to streamline genetic circuit design in molecular data communications. Synth Biol (Oxf) 2024; 9:ysae015. [PMID: 39669892 PMCID: PMC11636266 DOI: 10.1093/synbio/ysae015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2024] [Revised: 10/04/2024] [Accepted: 11/06/2024] [Indexed: 12/14/2024] Open
Abstract
Developments in bioengineering and nanotechnology have ignited the research on biological and molecular communication systems. Despite potential benefits, engineering communication systems to carry data signals using biological messenger molecules and engineered cells is challenging. Diffusing molecules may fall behind their schedule to arrive at the receiver, interfering with symbols of subsequent time slots and distorting the signal. Existing theoretical molecular communication models often focus solely on the characteristics of a communication channel and fail to provide an end-to-end system response since they assume a simple thresholding process for a receiver cell and overlook how the receiver can detect the incoming distorted molecular signal. In this paper, we present a model-based and computational framework called BioRxToolbox for designing diffusion-based and end-to-end molecular communication systems coupled with synthetic genetic circuits. We describe a novel framework to encode information as a sequence of bits, each transmitted from the sender as a burst of molecules, control cellular behavior at the receiver, and minimize cellular signal interference by employing equalization techniques from communication theory. This approach allows the encoding and decoding of data bits efficiently using two different types of molecules that act as the data carrier and the antagonist to cancel out the heavy tail of the former. Here, BioRxToolbox is demonstrated using a biological design and computational simulations for various communication scenarios. This toolbox facilitates automating the choice of communication parameters and identifying the best communication scenarios that can produce efficient cellular signals.
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Affiliation(s)
- Merve Gorkem Durmaz
- Department of Computer Engineering, NETLAB, Bogazici University, Bebek, Istanbul 34342, Turkiye
| | - Neval Tulluk
- Department of Computer Engineering, NETLAB, Bogazici University, Bebek, Istanbul 34342, Turkiye
| | - Recep Deniz Aksoy
- Department of Computer Engineering, NETLAB, Bogazici University, Bebek, Istanbul 34342, Turkiye
| | - Huseyin Birkan Yilmaz
- Department of Computer Engineering, NETLAB, Bogazici University, Bebek, Istanbul 34342, Turkiye
| | - Bill Yang
- School of Computing, Newcastle University, Newcastle upon Tyne NE4 5TG, United Kingdom
| | - Anil Wipat
- School of Computing, Newcastle University, Newcastle upon Tyne NE4 5TG, United Kingdom
| | - Ali Emre Pusane
- Department of Electrical and Electronics Engineering, Bogazici University, Bebek, Istanbul 34342, Turkiye
| | - Göksel Mısırlı
- School of Computer Science and Mathematics, Keele University, Keele, Staffordshire ST5 5BG, United Kingdom
| | - Tuna Tugcu
- Department of Computer Engineering, NETLAB, Bogazici University, Bebek, Istanbul 34342, Turkiye
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Abstract
The authors of this paper have been involved in molecular communication since its conception. They describe their decade-and-a-half long personal journey of the molecular communication research and share their observations and thoughts on how the molecular communication research started and expanded to flourish. The authors also share their thoughts on research challenges that they hope the molecular communication research community addresses in the coming decade.
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