The finite state projection algorithm for the solution of the chemical master equation B Munsky, M Khammash The Journal of chemical physics 124 (4), 2006 | 915 | 2006 |
Antithetic integral feedback ensures robust perfect adaptation in noisy biomolecular networks C Briat, A Gupta, M Khammash Cell systems 2 (1), 15-26, 2016 | 409 | 2016 |
Parameter estimation and model selection in computational biology G Lillacci, M Khammash PLoS computational biology 6 (3), e1000696, 2010 | 409 | 2010 |
Surviving heat shock: control strategies for robustness and performance H El-Samad, H Kurata, JC Doyle, CA Gross, M Khammash Proceedings of the National Academy of Sciences 102 (8), 2736-2741, 2005 | 333 | 2005 |
In silico feedback for in vivo regulation of a gene expression circuit A Milias-Argeitis, S Summers, J Stewart-Ornstein, I Zuleta, D Pincus, ... Nature biotechnology 29 (12), 1114-1116, 2011 | 331 | 2011 |
Performance robustness of discrete-time systems with structured uncertainty M Khammash, JB Pearson 29th IEEE Conference on Decision and Control, 414-420, 1990 | 329 | 1990 |
Systematic identification of signal-activated stochastic gene regulation G Neuert, B Munsky, RZ Tan, L Teytelman, M Khammash, ... Science 339 (6119), 584-587, 2013 | 315 | 2013 |
A universal biomolecular integral feedback controller for robust perfect adaptation SK Aoki, G Lillacci, A Gupta, A Baumschlager, D Schweingruber, ... Nature 570 (7762), 533-537, 2019 | 301 | 2019 |
Automated optogenetic feedback control for precise and robust regulation of gene expression and cell growth A Milias-Argeitis, M Rullan, SK Aoki, P Buchmann, M Khammash Nature communications 7 (1), 12546, 2016 | 263 | 2016 |
Listening to the noise: random fluctuations reveal gene network parameters B Munsky, B Trinh, M Khammash Molecular systems biology 5 (1), 318, 2009 | 258 | 2009 |
Calcium homeostasis and parturient hypocalcemia: an integral feedback perspective H El-Samad, JP Goff, M Khammash Journal of theoretical biology 214 (1), 17-29, 2002 | 241 | 2002 |
Automatic crosswind flight of tethered wings for airborne wind energy: Modeling, control design, and experimental results L Fagiano, AU Zgraggen, M Morari, M Khammash IEEE Transactions on Control Systems Technology 22 (4), 1433-1447, 2013 | 216 | 2013 |
Structured optimal and robust control with multiple criteria: A convex solution X Qi, MV Salapaka, PG Voulgaris, M Khammash IEEE Transactions on Automatic Control 49 (10), 1623-1640, 2004 | 214 | 2004 |
Stochastic modelling of gene regulatory networks H El Samad, M Khammash, L Petzold, D Gillespie International Journal of Robust and Nonlinear Control: IFAC‐Affiliated …, 2005 | 205 | 2005 |
Direct solution of the chemical master equation using quantized tensor trains V Kazeev, M Khammash, M Nip, C Schwab PLoS computational biology 10 (3), e1003359, 2014 | 188 | 2014 |
Digital quantification of proteins and mRNA in single mammalian cells C Albayrak, CA Jordi, C Zechner, J Lin, CA Bichsel, M Khammash, S Tay Molecular cell 61 (6), 914-924, 2016 | 180 | 2016 |
Robust power system stabilizer design using/spl Hscr//sub/spl infin//loop shaping approach C Zhu, M Khammash, V Vittal, W Qiu IEEE Transactions on Power Systems 18 (2), 810-818, 2003 | 160 | 2003 |
Reduction and solution of the chemical master equation using time scale separation and finite state projection S Peleš, B Munsky, M Khammash The Journal of chemical physics 125 (20), 2006 | 159 | 2006 |
An optogenetic platform for real-time, single-cell interrogation of stochastic transcriptional regulation M Rullan, D Benzinger, GW Schmidt, A Milias-Argeitis, M Khammash Molecular cell 70 (4), 745-756. e6, 2018 | 139 | 2018 |
Dynamic blue light-inducible T7 RNA polymerases (Opto-T7RNAPs) for precise spatiotemporal gene expression control A Baumschlager, SK Aoki, M Khammash ACS synthetic biology 6 (11), 2157-2167, 2017 | 133 | 2017 |