Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Seirana, Hashemi"'
Publikováno v:
PLoS Computational Biology, Vol 19, Iss 9, p e1011489 (2023)
Intracellular fluxes represent a joint outcome of cellular transcription and translation and reflect the availability and usage of nutrients from the environment. While approaches from the constraint-based metabolic framework can accurately predict c
Externí odkaz:
https://doaj.org/article/05db37a40d5f46aebd292415557dcc91
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 20, Iss , Pp 3963-3971 (2022)
Trade-offs between traits are present across different levels of biological systems and ultimately reflect constraints imposed by physicochemical laws and the structure of underlying biochemical networks. Yet, mechanistic explanation of how trade-off
Externí odkaz:
https://doaj.org/article/63f96d13b03e404fa0dd026f3b317e69
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
Abstract Trade-offs are inherent to biochemical networks governing diverse cellular functions, from gene expression to metabolism. Yet, trade-offs between fluxes of biochemical reactions in a metabolic network have not been formally studied. Here, we
Externí odkaz:
https://doaj.org/article/2c374673578c43c09ec8015d328d818f
Autor:
Seirana Hashemi, Abbas Nowzari Dalini, Adrin Jalali, Ali Mohammad Banaei-Moghaddam, Zahra Razaghi-Moghadam
Publikováno v:
BMC Bioinformatics, Vol 18, Iss 1, Pp 1-18 (2017)
Abstract Background Discriminating driver mutations from the ones that play no role in cancer is a severe bottleneck in elucidating molecular mechanisms underlying cancer development. Since protein domains are representatives of functional regions wi
Externí odkaz:
https://doaj.org/article/f02a2d8cba88458c8e97cd77b1617e94
Accumulating evidence for trade-offs involving metabolic traits has demonstrated their importance in evolution of organisms. Metabolic models with different level of complexity have already been considered when investigating mechanisms that explain v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::068dc09bb0772e12b257d2cdc758b882
https://doi.org/10.22541/au.166019951.10377598/v1
https://doi.org/10.22541/au.166019951.10377598/v1
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
Scientific Reports
Scientific Reports
Trade-offs are inherent to biochemical networks governing diverse cellular functions, from gene expression to metabolism. Yet, trade-offs between fluxes of biochemical reactions in a metabolic network have not been formally studied. Here, we introduc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dbef829a0a43e5a346dfcf9237a96f8c
https://publishup.uni-potsdam.de/frontdoor/index/index/docId/59880
https://publishup.uni-potsdam.de/frontdoor/index/index/docId/59880
Autor:
Abbas Nowzari Dalini, Zahra Razaghi-Moghadam, Seirana Hashemi, Ali Mohammad Banaei-Moghaddam, Adrin Jalali
Publikováno v:
BMC Bioinformatics
BMC Bioinformatics, Vol 18, Iss 1, Pp 1-18 (2017)
BMC Bioinformatics, Vol 18, Iss 1, Pp 1-18 (2017)
Background Discriminating driver mutations from the ones that play no role in cancer is a severe bottleneck in elucidating molecular mechanisms underlying cancer development. Since protein domains are representatives of functional regions within prot
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::14f3e421e2690d6f34c08670c3fa73ff
https://pubmed.ncbi.nlm.nih.gov/28814324
https://pubmed.ncbi.nlm.nih.gov/28814324