Mustafa Khammash

Affiliations: 
Mechanical Engineering University of California, Santa Barbara, Santa Barbara, CA, United States 
Area:
Mechanical Engineering
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"Mustafa Khammash"

Parents

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John Comstock Doyle grad student (MathTree)

Children

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Hana 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
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