Mustafa Khammash
Affiliations: | Mechanical Engineering | University of California, Santa Barbara, Santa Barbara, CA, United States |
Area:
Mechanical EngineeringGoogle:
"Mustafa Khammash"Children
Sign in to add traineeHana El-Samad | grad student | (Cell Biology Tree) | |
Hana El Samad | grad student | 2004 | UC Santa Barbara |
Keith B. Purvis | grad student | 2007 | UC Santa Barbara |
Gabriele Lillacci | grad student | 2012 | UC Santa Barbara |
Patrick W. Sheppard | grad student | 2012 | UC Santa Barbara |
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Publications
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Filo M, Gupta A, Khammash M. (2024) Anti-windup strategies for biomolecular control systems facilitated by model reduction theory for sequestration networks. Science Advances. 10: eadl5439 |
Gupta A, Khammash M. (2022) Universal structural requirements for maximal robust perfect adaptation in biomolecular networks. Proceedings of the National Academy of Sciences of the United States of America. 119: e2207802119 |
Frei T, Cella F, Tedeschi F, et al. (2020) Characterization and mitigation of gene expression burden in mammalian cells. Nature Communications. 11: 4641 |
Baumschlager A, Rullan M, Khammash M. (2020) Exploiting natural chemical photosensitivity of anhydrotetracycline and tetracycline for dynamic and setpoint chemo-optogenetic control. Nature Communications. 11: 3834 |
Briat C, Khammash M. (2020) Ergodicity Analysis and Antithetic Integral Control of a Class of Stochastic Reaction Networks with Delays Siam Journal On Applied Dynamical Systems. 19: 1575-1608 |
Siami M, Motee N, Buzi G, et al. (2020) Fundamental Limits and Tradeoffs in Autocatalytic Pathways Ieee Transactions On Automatic Control. 65: 733-740 |
Blum Y, Mikelson J, Dobrzyński M, et al. (2019) Temporal perturbation of ERK dynamics reveals network architecture of FGF2/MAPK signaling. Molecular Systems Biology. 15: e8947 |
Aoki SK, Lillacci G, Gupta A, et al. (2019) A universal biomolecular integral feedback controller for robust perfect adaptation. Nature |
Gupta A, Khammash M. (2018) Sensitivity Analysis for Multiscale Stochastic Reaction Networks Using Hybrid Approximations. Bulletin of Mathematical Biology |
Lillacci G, Benenson Y, Khammash M. (2018) Synthetic control systems for high performance gene expression in mammalian cells. Nucleic Acids Research |