Zobrazeno 1 - 10
of 55
pro vyhledávání: '"M. Ali Al-Radhawi"'
Derivation of stationary distributions of biochemical reaction networks via structure transformation
Publikováno v:
Communications Biology, Vol 4, Iss 1, Pp 1-10 (2021)
Hong, Kim and colleagues develop a method for analytically deriving the stationary distributions of stochastic biochemical reaction networks using network structure transformation. They provide this method in a user-friendly computational package, CA
Externí odkaz:
https://doaj.org/article/f3360ccb16ac49c5a6b904005256629e
Publikováno v:
Epigenetics, Vol 16, Iss 4, Pp 436-457 (2021)
Cell-fate networks are traditionally studied within the framework of gene regulatory networks. This paradigm considers only interactions of genes through expressed transcription factors and does not incorporate chromatin modification processes. This
Externí odkaz:
https://doaj.org/article/931b4a8f7e9042d495df2492cc3940f2
Publikováno v:
iScience, Vol 24, Iss 12, Pp 103526- (2021)
Summary: A design for genetically encoded counters is proposed via repressor-based circuits. An N-bit counter reads sequences of input pulses and displays the total number of pulses, modulo 2N. The design is based on distributed computation with spec
Externí odkaz:
https://doaj.org/article/c3689ff53bb048cb885298dc6b605b48
Publikováno v:
Royal Society Open Science, Vol 8, Iss 9 (2021)
A dynamical system entrains to a periodic input if its state converges globally to an attractor with the same period. In particular, for a constant input, the state converges to a unique equilibrium point for any initial condition. We consider the pr
Externí odkaz:
https://doaj.org/article/5d60053f07a34ffc88b486b10fbfa1a6
Publikováno v:
IEEE Control Systems Letters. 7:211-216
Synthetic gene circuits require cellular resources, which are often limited. This leads to competition for resources by different genes, which alter a synthetic genetic circuit’s behavior. However, the manner in which competition impacts behavior d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9cac1052f876030906ead9984735d9eb
https://doi.org/10.1109/lcsys.2022.3186840
https://doi.org/10.1109/lcsys.2022.3186840
Autor:
Anh Phong Tran, M. Ali Al-Radhawi, Irina Kareva, Junjie Wu, David J. Waxman, Eduardo D. Sontag
Publikováno v:
Frontiers in Immunology, Vol 11 (2020)
Metronomic chemotherapy can drastically enhance immunogenic tumor cell death. However, the mechanisms responsible are still incompletely understood. Here, we develop a mathematical model to elucidate the underlying complex interactions between tumor
Externí odkaz:
https://doaj.org/article/2d1bb7733d7847feabc802cc3989bf58
Publikováno v:
PLoS Computational Biology, Vol 16, Iss 2, p e1007681 (2020)
Complex molecular biological processes such as transcription and translation, signal transduction, post-translational modification cascades, and metabolic pathways can be described in principle by biochemical reactions that explicitly take into accou
Externí odkaz:
https://doaj.org/article/fd06b8b695f84a8ca9e5afce7206d1e2
Publikováno v:
PLoS Computational Biology, Vol 15, Iss 2, p e1006784 (2019)
Phenotypical variability in the absence of genetic variation often reflects complex energetic landscapes associated with underlying gene regulatory networks (GRNs). In this view, different phenotypes are associated with alternative states of complex
Externí odkaz:
https://doaj.org/article/9b07c551fcd14347ad709837301096a7
Publikováno v:
IEEE Control Systems Letters. 6:578-583
Initial hopes of quickly eradicating the COVID-19 pandemic proved futile, and the goal shifted to controlling the peak of the infection, so as to minimize the load on healthcare systems. To that end, public health authorities intervened aggressively
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5351c800786df292ff9210efc3b83653
https://doi.org/10.1109/lcsys.2021.3083983
https://doi.org/10.1109/lcsys.2021.3083983
Autor:
M. Ali Al-Radhawi
Publikováno v:
Mathematics of Control, Signals, and Systems.
Previous studies have inferred robust stability of reaction networks by utilizing linear programs or iterative algorithms. Such algorithms become tedious or computationally infeasible for large networks. In addition, they operate like black boxes wit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::004f601fa3ea88ac4bad6a70f41131e0
https://doi.org/10.1007/s00498-023-00350-9
https://doi.org/10.1007/s00498-023-00350-9