{"title":"Modelling and Simulations of Collective Bio-Nanomachine Rotation in 3-D Space","authors":"Jiewen Wang;Tadashi Nakano","doi":"10.1109/TMBMC.2023.3275542","DOIUrl":null,"url":null,"abstract":"Controlling a spatio-temporal structure that groups of bio-nanomachines form is a key objective for engineering innovative applications such as artificial organs and biological robots. Our previous work aimed to create a large-scale system of bio-nanomachines and developed a collective rotational motion model to describe their behavior. The main idea in developing the model is that spinning objects are stable against perturbations, meaning that a rotating cluster of bio-nanomachines may be stable and suitable for large-scale bio-nanomachine systems to be engineered for applications. In this paper, we first extend our previous model from two-dimensions to three-dimensions. We then conduct simulation experiments using the extended model and demonstrate that a group of bio-nanomachines forms a three-dimensional cluster that continues to rotate around the central axis of the cluster. This paper makes an important step toward developing computational tools to study spatio-temporal structure formation of bio-nanomachines in three dimensions.","PeriodicalId":36530,"journal":{"name":"IEEE Transactions on Molecular, Biological, and Multi-Scale Communications","volume":null,"pages":null},"PeriodicalIF":2.4000,"publicationDate":"2023-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Molecular, Biological, and Multi-Scale Communications","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/10122993/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
Controlling a spatio-temporal structure that groups of bio-nanomachines form is a key objective for engineering innovative applications such as artificial organs and biological robots. Our previous work aimed to create a large-scale system of bio-nanomachines and developed a collective rotational motion model to describe their behavior. The main idea in developing the model is that spinning objects are stable against perturbations, meaning that a rotating cluster of bio-nanomachines may be stable and suitable for large-scale bio-nanomachine systems to be engineered for applications. In this paper, we first extend our previous model from two-dimensions to three-dimensions. We then conduct simulation experiments using the extended model and demonstrate that a group of bio-nanomachines forms a three-dimensional cluster that continues to rotate around the central axis of the cluster. This paper makes an important step toward developing computational tools to study spatio-temporal structure formation of bio-nanomachines in three dimensions.
期刊介绍:
As a result of recent advances in MEMS/NEMS and systems biology, as well as the emergence of synthetic bacteria and lab/process-on-a-chip techniques, it is now possible to design chemical “circuits”, custom organisms, micro/nanoscale swarms of devices, and a host of other new systems. This success opens up a new frontier for interdisciplinary communications techniques using chemistry, biology, and other principles that have not been considered in the communications literature. The IEEE Transactions on Molecular, Biological, and Multi-Scale Communications (T-MBMSC) is devoted to the principles, design, and analysis of communication systems that use physics beyond classical electromagnetism. This includes molecular, quantum, and other physical, chemical and biological techniques; as well as new communication techniques at small scales or across multiple scales (e.g., nano to micro to macro; note that strictly nanoscale systems, 1-100 nm, are outside the scope of this journal). Original research articles on one or more of the following topics are within scope: mathematical modeling, information/communication and network theoretic analysis, standardization and industrial applications, and analytical or experimental studies on communication processes or networks in biology. Contributions on related topics may also be considered for publication. Contributions from researchers outside the IEEE’s typical audience are encouraged.