Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 이미진 | - |
dc.date.accessioned | 2024-05-31T00:30:13Z | - |
dc.date.available | 2024-05-31T00:30:13Z | - |
dc.date.issued | 2024-01-08 | - |
dc.identifier.citation | CHAOS SOLITONS & FRACTALS, v. 182, page. 1-8 | en_US |
dc.identifier.issn | 0960-0779 | en_US |
dc.identifier.issn | 1873-2887 | en_US |
dc.identifier.uri | https://arxiv.org/abs/2401.02624 | en_US |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/190459 | - |
dc.description.abstract | Cellular ingredient concentrations can be stabilized by adjusting generation and consumption rates through multiple pathways. To explore the portion of cellular metabolism equipped with multiple pathways, we categorize individual metabolic reactions and compounds as viable or inviable: A compound is viable if processed by two or more reactions, and a reaction is viable if all of its substrates and products are viable. Using this classification, we identify the maximal subnetwork of viable nodes, referred to as the viable core, in bipartite metabolic networks across thousands of species. The obtained viable cores are remarkably larger than those in degreepreserving randomized networks, while their broad degree distributions commonly enable the viable cores to shrink gradually as reaction nodes are deleted. We demonstrate that the positive degree-degree correlations of the empirical networks may underlie the enlarged viable cores compared to the randomized networks. By investigating the relation between degree and cross-species frequency of metabolic compounds and reactions, we elucidate the evolutionary origin of the correlations. | en_US |
dc.description.sponsorship | This work was supported by grants from the National Research Foundation of Korea (NRF) funded by the Korean Government [No. NRF-2021R1C1C1007918 (M.J.L.) and NRF-2019R1A2C1003486 (D.-S.L.)], and a KIAS Individual Grants [No. CG079902(D.-S.L) and No. CG074102 (S.Y.)] from Korea Institute for Advanced Study. We are grateful to the Center for Advanced Computation in KIAS for providing computing resources. | en_US |
dc.language | en_US | en_US |
dc.publisher | PERGAMON-ELSEVIER SCIENCE LTD | en_US |
dc.relation.ispartofseries | ;1-8 | - |
dc.title | Correlation-enhanced viable core in metabolic networks | en_US |
dc.type | Article | en_US |
dc.relation.volume | 182 | - |
dc.identifier.doi | 10.48550/arXiv.2401.02624 | en_US |
dc.relation.page | 1147761-1147767 | - |
dc.relation.journal | CHAOS SOLITONS & FRACTALS | - |
dc.contributor.googleauthor | Lee, Mi Jin | - |
dc.contributor.googleauthor | Yi, Sudo | - |
dc.contributor.googleauthor | Lee, Deok-Sun | - |
dc.relation.code | 2024005410 | - |
dc.sector.campus | E | - |
dc.sector.daehak | COLLEGE OF SCIENCE AND CONVERGENCE TECHNOLOGY[E] | - |
dc.sector.department | DEPARTMENT OF APPLIED PHYSICS | - |
dc.identifier.pid | mijinlee | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.