{"title":"生物工作原理的迪诺重建方法","authors":"Shijian Chen, Xiaojie Liu, Qiang Huang","doi":"10.1109/icbcb55259.2022.9802476","DOIUrl":null,"url":null,"abstract":"The aim of our work is to build a living thing in silicon by denovo assumptions and theories so as to understand life's working principle. The random collision set is the denovo point of our theory. This point paved our way to a system, which is both biochemically realizable and higher level emergent phenomenon reachable. Guided by our rebuilding theorem, we introduce biologically meaningful molecules and establish the full-quasi-autonomous Genome-Metabolic (G-M) system. Then an evolutionary computational method is applied to make higher-level biological functions to emerge. It is successfully evolved into a dynamic autonomous system. We analyze the behaviors and structure of the system and find that well accepted phenomena, such as cycle of negative feedback chains, gene regulatory network emerge as expected. These are verifications of our theory, which means that our approach has the power to shed light on the working principle of living things.","PeriodicalId":429633,"journal":{"name":"2022 10th International Conference on Bioinformatics and Computational Biology (ICBCB)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Denovo Rebuilding Approach to the Working Principle of Living Things\",\"authors\":\"Shijian Chen, Xiaojie Liu, Qiang Huang\",\"doi\":\"10.1109/icbcb55259.2022.9802476\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The aim of our work is to build a living thing in silicon by denovo assumptions and theories so as to understand life's working principle. The random collision set is the denovo point of our theory. This point paved our way to a system, which is both biochemically realizable and higher level emergent phenomenon reachable. Guided by our rebuilding theorem, we introduce biologically meaningful molecules and establish the full-quasi-autonomous Genome-Metabolic (G-M) system. Then an evolutionary computational method is applied to make higher-level biological functions to emerge. It is successfully evolved into a dynamic autonomous system. We analyze the behaviors and structure of the system and find that well accepted phenomena, such as cycle of negative feedback chains, gene regulatory network emerge as expected. These are verifications of our theory, which means that our approach has the power to shed light on the working principle of living things.\",\"PeriodicalId\":429633,\"journal\":{\"name\":\"2022 10th International Conference on Bioinformatics and Computational Biology (ICBCB)\",\"volume\":\"115 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-05-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 10th International Conference on Bioinformatics and Computational Biology (ICBCB)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/icbcb55259.2022.9802476\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 10th International Conference on Bioinformatics and Computational Biology (ICBCB)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/icbcb55259.2022.9802476","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Denovo Rebuilding Approach to the Working Principle of Living Things
The aim of our work is to build a living thing in silicon by denovo assumptions and theories so as to understand life's working principle. The random collision set is the denovo point of our theory. This point paved our way to a system, which is both biochemically realizable and higher level emergent phenomenon reachable. Guided by our rebuilding theorem, we introduce biologically meaningful molecules and establish the full-quasi-autonomous Genome-Metabolic (G-M) system. Then an evolutionary computational method is applied to make higher-level biological functions to emerge. It is successfully evolved into a dynamic autonomous system. We analyze the behaviors and structure of the system and find that well accepted phenomena, such as cycle of negative feedback chains, gene regulatory network emerge as expected. These are verifications of our theory, which means that our approach has the power to shed light on the working principle of living things.