{"title":"Ratiometric logic in living cells via competitive binding of synthetic transcription factors","authors":"S. Perli, T. Lu","doi":"10.1145/3109453.3124360","DOIUrl":"https://doi.org/10.1145/3109453.3124360","url":null,"abstract":"Although there have been a flurry of designs in the recent past describing implementations of digital logic in living cells, computational elements that perform analog operations such as division and subtraction are scarce. By employing the principle of competitive binding between different DNA binding proteins, we present a novel approach towards ratiometric computation in living cells. After developing a quantitative model to analyze our design, we build and experimentally characterize our system in Saccharomyces cerevisiae. Our work demonstrates the feasibility of performing analog computation in eukaryotic cells and will potentially enable the design of more sophistated gene networks.","PeriodicalId":400141,"journal":{"name":"Proceedings of the 4th ACM International Conference on Nanoscale Computing and Communication","volume":"452 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124296027","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Channel capacity modelling of blood capillary-based molecular communication with blood flow drift","authors":"Yue Sun, Kun Yang, Qiang Liu","doi":"10.1145/3109453.3109454","DOIUrl":"https://doi.org/10.1145/3109453.3109454","url":null,"abstract":"Molecular communication (MC) is a bio-inspired communication method in future Nano-networks. This paper follows a new bio-phenomenon into MC, namely, blood vessels. While previous work on blood vessels or blood capillary focus on free diffusion without drift and described by Ficks second law, a more precise, kinetic stochastic differential equation, Langevin equation is used instead to model the blood flow and drift. Further more, blood flow in blood vessels considered a laminar flow model rather than turbulent flow. The solution of Fokker-Planck equation, corresponding to Langevin equation, is provided by drift coefficient and diffusion coefficient in the blood vessels environment. Finally, we derive channel capacity expression for single access channel. Numerical results present the relationship between channel capacity and parameters in the blood vessels.","PeriodicalId":400141,"journal":{"name":"Proceedings of the 4th ACM International Conference on Nanoscale Computing and Communication","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114413433","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Embedding space-constrained quantum-dot cellular automata in three-dimensional tile-based self-assembly systems","authors":"F. Lau, Stefan Fischer","doi":"10.1145/3109453.3109457","DOIUrl":"https://doi.org/10.1145/3109453.3109457","url":null,"abstract":"This paper proposes and motivates a combination of different technologies to enable the construction of arbitrary three-dimensional shapes at the nanoscale with certain a\"-mounts of computational power. The aforementioned technologies are tile-based self-assembly systems and quan\"-tum-dot cellular automata. Both technologies are in theory capable of universal computation, while self-assembly systems may better be utilized for construction-purposes. Since the decrease in size of CMOS technology explained by Moores law approaches its lower bound due to quantum effects at the nanoscale, we find it necessary to analyze computational models like QCA to better incorporate future requirements. This paper explains the aforementioned mathematical models and defines a possible combination of both.","PeriodicalId":400141,"journal":{"name":"Proceedings of the 4th ACM International Conference on Nanoscale Computing and Communication","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131677412","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}