{"title":"利用Petri网揭示Pastoris代谢网络的结构和功能","authors":"Yufang Wang, D. Ding","doi":"10.1109/DCABES.2015.97","DOIUrl":null,"url":null,"abstract":"Due to the limitations of detailed experimental data for large scale metabolic networks, structural analysis of these networks is a growing research topic in bioinformatics field. Among several available structure-oriented approaches, Petri nets has proved to be particular efficient tool, and thus is employed for studying P. Pastoris metabolic network in this study. After a brief introduction about the conceptual framework of Petri nets analysis, we give the first in silico Petri nets model of P. Pastoris metabolic network, we also calculate, analyze and classify the p, t invariants in the model based on their structural capability and biological significance.","PeriodicalId":444588,"journal":{"name":"2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Revealing the Structure and Function of P. Pastoris Metabolic Network Using Petri Nets\",\"authors\":\"Yufang Wang, D. Ding\",\"doi\":\"10.1109/DCABES.2015.97\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Due to the limitations of detailed experimental data for large scale metabolic networks, structural analysis of these networks is a growing research topic in bioinformatics field. Among several available structure-oriented approaches, Petri nets has proved to be particular efficient tool, and thus is employed for studying P. Pastoris metabolic network in this study. After a brief introduction about the conceptual framework of Petri nets analysis, we give the first in silico Petri nets model of P. Pastoris metabolic network, we also calculate, analyze and classify the p, t invariants in the model based on their structural capability and biological significance.\",\"PeriodicalId\":444588,\"journal\":{\"name\":\"2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-08-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DCABES.2015.97\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DCABES.2015.97","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Revealing the Structure and Function of P. Pastoris Metabolic Network Using Petri Nets
Due to the limitations of detailed experimental data for large scale metabolic networks, structural analysis of these networks is a growing research topic in bioinformatics field. Among several available structure-oriented approaches, Petri nets has proved to be particular efficient tool, and thus is employed for studying P. Pastoris metabolic network in this study. After a brief introduction about the conceptual framework of Petri nets analysis, we give the first in silico Petri nets model of P. Pastoris metabolic network, we also calculate, analyze and classify the p, t invariants in the model based on their structural capability and biological significance.