The stability and fragility of biological networks: eukaryotic model organism Saccharomyces cerevisiae
dc.authorid | 0000-0003-3144-8724 | en_US |
dc.contributor.author | Altuntaş, Volkan | |
dc.contributor.author | Gok, Murat | |
dc.date.accessioned | 2021-03-20T20:14:02Z | |
dc.date.available | 2021-03-20T20:14:02Z | |
dc.date.issued | 2017 | |
dc.department | BTÜ, Rektörlüğe Bağlı Birimler, Bilgi İşlem Daire Başkanlığı | en_US |
dc.description | 2017 International Conference on Computer Science and Engineering (UBMK) -- OCT 05-08, 2017 -- Antalya, TURKEY | en_US |
dc.description.abstract | Recent studies of biological networks show that these networks arc robust against the random or selective deletion of network nodes and I or edges. Ability to maintain performance of network under mutations is a key feature of live systems that has long been recognized. However, the molecular and cellular basis of this stability has just begun to be understood. Robustness is a key to understanding cellular complexity, illuminating design principles, and encouraging closer interaction between experiment and theory. A biological network mutation can be defined as the creation of a new network with k allowed network change operations for a given G network. While mutating the network, our goal is to observe the change in the measured distance estimate value after k changes of the defined distance measurement method M. In this study, the effects of edge deletion and edge insertion mutations on network topology and diffusion-based function estimation algorithms are investigated by using random mutation model on the protein-protein interaction network of eukaryote Saccharomyces cerevisiae yeast, containing 5936 nodes and 65139 edges. Experimental results shows that Saccharomyces cerevisiae protein-protein interaction network has high robustness against random mutations and that the generated mutations have no significant effect on network topology and estimation techniques. | en_US |
dc.description.sponsorship | IEEE Adv Technol Human, Istanbul Teknik Univ, Gazi Univ, Atilim Univ, TBV, Akdeniz Univ, Tmmob Bilgisayar Muhendisleri Odasi | en_US |
dc.identifier.endpage | 118 | en_US |
dc.identifier.isbn | 978-1-5386-0930-9 | |
dc.identifier.scopusquality | N/A | en_US |
dc.identifier.startpage | 116 | en_US |
dc.identifier.uri | https://hdl.handle.net/20.500.12885/986 | |
dc.identifier.wos | WOS:000426856900022 | en_US |
dc.identifier.wosquality | N/A | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.institutionauthor | Altuntaş, Volkan | |
dc.language.iso | tr | en_US |
dc.publisher | Ieee | en_US |
dc.relation.ispartof | 2017 International Conference On Computer Science And Engineering (Ubmk) | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | biological networks | en_US |
dc.subject | saccharomyces cerevisiae | en_US |
dc.subject | network mutations | en_US |
dc.title | The stability and fragility of biological networks: eukaryotic model organism Saccharomyces cerevisiae | en_US |
dc.type | Conference Object | en_US |