{"title":"Multicellular artificial neural network-type architectures demonstrate computational problem solving","authors":"Deepro Bonnerjee, Saswata Chakraborty, Biyas Mukherjee, Ritwika Basu, Abhishek Paul, Sangram Bagh","doi":"10.1038/s41589-024-01711-4","DOIUrl":null,"url":null,"abstract":"Here, we report a modular multicellular system created by mixing and matching discrete engineered bacterial cells. This system can be designed to solve multiple computational decision problems. The modular system is based on a set of engineered bacteria that are modeled as an ‘artificial neurosynapse’ that, in a coculture, formed a single-layer artificial neural network-type architecture that can perform computational tasks. As a demonstration, we constructed devices that function as a full subtractor and a full adder. The system is also capable of solving problems such as determining if a number between 0 and 9 is a prime number and if a letter between A and L is a vowel. Finally, we built a system that determines the maximum number of pieces of a pie that can be made for a given number of straight cuts. This work may have importance in biocomputer technology development and multicellular synthetic biology. A modular multicellular system has been created by mixing and matching discrete engineered bacterial cells in an artificial neural network-type architecture. The system is capable of solving multiple computational decision problems like identifying a number as prime and a letter as a vowel.","PeriodicalId":18832,"journal":{"name":"Nature chemical biology","volume":null,"pages":null},"PeriodicalIF":12.9000,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature chemical biology","FirstCategoryId":"99","ListUrlMain":"https://www.nature.com/articles/s41589-024-01711-4","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Here, we report a modular multicellular system created by mixing and matching discrete engineered bacterial cells. This system can be designed to solve multiple computational decision problems. The modular system is based on a set of engineered bacteria that are modeled as an ‘artificial neurosynapse’ that, in a coculture, formed a single-layer artificial neural network-type architecture that can perform computational tasks. As a demonstration, we constructed devices that function as a full subtractor and a full adder. The system is also capable of solving problems such as determining if a number between 0 and 9 is a prime number and if a letter between A and L is a vowel. Finally, we built a system that determines the maximum number of pieces of a pie that can be made for a given number of straight cuts. This work may have importance in biocomputer technology development and multicellular synthetic biology. A modular multicellular system has been created by mixing and matching discrete engineered bacterial cells in an artificial neural network-type architecture. The system is capable of solving multiple computational decision problems like identifying a number as prime and a letter as a vowel.
期刊介绍:
Nature Chemical Biology stands as an esteemed international monthly journal, offering a prominent platform for the chemical biology community to showcase top-tier original research and commentary. Operating at the crossroads of chemistry, biology, and related disciplines, chemical biology utilizes scientific ideas and approaches to comprehend and manipulate biological systems with molecular precision.
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