{"title":"Evolution Enhanced Resilience of Protein Interaction Networks","authors":"Jiarui Zhang, D. Ding","doi":"10.1109/DCABES57229.2022.00031","DOIUrl":null,"url":null,"abstract":"Most biological functions are presented through protein-protein interaction (PPI) networks. PPI networks show the complex protein-protein interaction relationship within the organism. The generation or destruction of these interaction may lead to changes in biological functions. The latest research results show that the interaction network of species with a higher degree of evolution has higher resilience. Here we explore the resilience changes of a single species during its evolution. We obtain data from public and published websites SNAP. We have proved that no matter what the network structure is, whether it is large or small, when the network fault gradually increases, the resilience gradually decreases. This also indicates that the network with the greatest resilience has a higher degree of evolution.","PeriodicalId":344365,"journal":{"name":"2022 21st International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 21st International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DCABES57229.2022.00031","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Most biological functions are presented through protein-protein interaction (PPI) networks. PPI networks show the complex protein-protein interaction relationship within the organism. The generation or destruction of these interaction may lead to changes in biological functions. The latest research results show that the interaction network of species with a higher degree of evolution has higher resilience. Here we explore the resilience changes of a single species during its evolution. We obtain data from public and published websites SNAP. We have proved that no matter what the network structure is, whether it is large or small, when the network fault gradually increases, the resilience gradually decreases. This also indicates that the network with the greatest resilience has a higher degree of evolution.