| A whole-cell computational model predicts phenotype from genotype JR Karr, JC Sanghvi, DN Macklin, MV Gutschow, JM Jacobs, B Bolival, ... Cell 150 (2), 389-401, 2012 | 1597 | 2012 |
| Deep learning for cellular image analysis E Moen, D Bannon, T Kudo, W Graf, M Covert, D Van Valen Nature methods 16 (12), 1233-1246, 2019 | 1120 | 2019 |
| Integrating high-throughput and computational data elucidates bacterial networks MW Covert, EM Knight, JL Reed, MJ Herrgard, BO Palsson Nature 429 (6987), 92-96, 2004 | 1032 | 2004 |
| Single-cell NF-κB dynamics reveal digital activation and analogue information processing S Tay, JJ Hughey, TK Lee, T Lipniacki, SR Quake, MW Covert Nature 466 (7303), 267-271, 2010 | 997 | 2010 |
| Achieving stability of lipopolysaccharide-induced NF-κB activation MW Covert, TH Leung, JE Gaston, D Baltimore Science 309 (5742), 1854-1857, 2005 | 799 | 2005 |
| Regulation of gene expression in flux balance models of metabolism MW Covert, CH Schilling, B Palsson Journal of theoretical biology 213 (1), 73-88, 2001 | 629 | 2001 |
| Deep learning automates the quantitative analysis of individual cells in live-cell imaging experiments DA Van Valen, T Kudo, KM Lane, DN Macklin, NT Quach, MM DeFelice, ... PLoS computational biology 12 (11), e1005177, 2016 | 615 | 2016 |
| High-sensitivity measurements of multiple kinase activities in live single cells S Regot, JJ Hughey, BT Bajar, S Carrasco, MW Covert Cell 157 (7), 1724-1734, 2014 | 588 | 2014 |
| Metabolic modelling of microbes: the flux-balance approach. JS Edwards, M Covert, B Palsson Environmental microbiology 4 (3), 2002 | 489 | 2002 |
| Genome-Scale Metabolic Model of Helicobacter pylori 26695 CH Schilling, MW Covert, I Famili, GM Church, JS Edwards, BO Palsson Journal of bacteriology 184 (16), 4582-4593, 2002 | 479 | 2002 |
| Transcriptional regulation in constraints-based metabolic models of Escherichia coli* 210 MW Covert, BØ Palsson Journal of Biological Chemistry 277 (31), 28058-28064, 2002 | 468 | 2002 |
| Metabolic modeling of microbial strains in silico MW Covert, CH Schilling, I Famili, JS Edwards, II Goryanin, E Selkov, ... Trends in biochemical sciences 26 (3), 179-186, 2001 | 430 | 2001 |
| Neuron‐to‐neuron transmission of α‐synuclein fibrils through axonal transport EC Freundt, N Maynard, EK Clancy, S Roy, L Bousset, Y Sourigues, ... Annals of neurology 72 (4), 517-524, 2012 | 418 | 2012 |
| Integrating metabolic, transcriptional regulatory and signal transduction models in Escherichia coli MW Covert, N Xiao, TJ Chen, JR Karr Bioinformatics 24 (18), 2044-2050, 2008 | 394 | 2008 |
| Nonlytic viral spread enhanced by autophagy components SW Bird, ND Maynard, MW Covert, K Kirkegaard Proceedings of the National Academy of Sciences 111 (36), 13081-13086, 2014 | 276 | 2014 |
| Constraints-based models: regulation of gene expression reduces the steady-state solution space MW Covert, BO Palsson Journal of theoretical biology 221 (3), 309-325, 2003 | 257 | 2003 |
| Reconstruction of microbial transcriptional regulatory networks MJ Herrgård, MW Covert, BØ Palsson Current opinion in biotechnology 15 (1), 70-77, 2004 | 205 | 2004 |
| A noisy paracrine signal determines the cellular NF-κB response to lipopolysaccharide TK Lee, EM Denny, JC Sanghvi, JE Gaston, ND Maynard, JJ Hughey, ... Science signaling 2 (93), ra65-ra65, 2009 | 188 | 2009 |
| Methods and systems to identify operational reaction pathways BO Palsson, MW Covert, M Herrgard US Patent 7,734,420, 2010 | 177 | 2010 |
| Genome‐scale metabolic networks M Terzer, ND Maynard, MW Covert, J Stelling Wiley Interdisciplinary Reviews: Systems Biology and Medicine 1 (3), 285-297, 2009 | 176 | 2009 |
Takamasa KudoGenentechVerified email at gene.com
