Cell-free protein expression systems have become widely used in systems and synthetic biology. In this study, we developed an ensemble of dynamic E. coli cell-free protein synthesis (CFPS) models. Model parameters were estimated from a training dataset for the cell-free production of a protein product, chloramphenicol acetyltransferase (CAT). The dataset consisted of measurements of glucose, organic acids, energy species, amino acids, and CAT. The ensemble accurately predicted these measurements, especially those of the central carbon metabolism. We then used the trained model to evaluate the optimality of protein production. CAT was produced with an energy efficiency of 12%, suggesting that the process could be further optimized. Reaction group knockouts showed that protein productivity and the metabolism as a whole depend most on oxidative phosphorylation and glycolysis and gluconeogenesis. Amino acid biosynthesis is also important for productivity, while the overflow metabolism and TCA cycle affect the overall system state. In addition, the translation rate is shown to be more important to productivity than the transcription rate. Finally, CAT production was robust to allosteric control, as was most of the network, with the exception of the organic acids in central carbon metabolism. This study is the first to use kinetic modeling to predict dynamic protein production in a cell-free E. coli system, and should provide a foundation for genome scale, dynamic modeling of cell-free E. coli protein synthesis.Introduction 1 Cell-free protein expression has become a widely used research tool in 2 systems and synthetic biology, and a promising technology for personalized 3 point of use biotechnology [1]. Cell-free systems offer many advantages for 4 the study, manipulation and modeling of metabolism compared to in vivo 5 processes. Central amongst these, is direct access to metabolites and the 6 biosynthetic machinery without the interference of a cell wall, or complica-7 tions associated with cell growth. This allows us to interrogate (and po-8 tentially manipulate) the chemical microenvironment while the biosynthetic 9 machinery is operating, potentially at a fine time resolution. Cell-free pro-10 tein synthesis (CFPS) systems are arguably the most prominent examples 11 of cell-free systems used today [2]. However, CFPS is not new; CFPS in 12 crude E. coli extracts has been used since the 1960s to explore fundamental 13 biological mechanisms. For example, Matthaei and Nirenberg used E. coli 14 cell-free extract in ground-breaking experiments to decipher the sequencing 15 of the genetic code [3, 4]. Spirin and coworkers later improved protein pro-16 duction in cell free extracts by continuously exchanging reactants and prod-17 ucts; however, while these extracts could run for tens of hours, they could 18 only synthesize a single product and were energy limited [5]. More recently, 19 energy and cofactor regeneration in CFPS has been significantly improved; 20 for example ATP can be regenerated using substrate level pho...