Integral membrane proteins are studied with a number of structural and biophysical techniques, many requiring protein overexpression to reach sufficient quantities. However, achievement of the overexpression of membrane proteins is not necessarily straightforward, and the mechanisms and factors that influence expression are not clearly understood. A new study has now broken through this uncertainty by demonstrating the capability of coarse-grained simulations of membrane protein insertion to predict protein expression levels in Escherichia coli.Membrane proteins comprise 20 -30% of the genes of most organisms and are over-represented as drug targets (as much as 70%). Yet, obtaining sufficient quantities of protein for in vitro studies, especially for eukaryotic ␣-helical membrane proteins, is challenging for a number of reasons, including (but not limited to) their low natural expression levels. Escherichia coli is typically used as a model system to overexpress these proteins, but expression levels in this context vary widely, and the reasons why are not always apparent. Although different conditions can be explored to improve expression, there are no general guidelines for success. The authors of a new study now take a critical step in that direction in their report of a more rational approach for designing overexpression constructs that incorporates the details of the cellular machinery responsible for membrane insertion (1).Membrane proteins are often co-translationally trafficked to the Sec translocon, through which they are inserted into the membrane to avoid buildup of aggregation-prone hydrophobic sequences. Two landmark studies, one in 2004 providing the first crystal structure of a Sec translocon (2), and one in 2005 cracking its code for transmembrane helix recognition (3), laid the groundwork for a number of experimental and computational investigations that further teased out the details of the insertion process (4). One result was the development by Zhang and Miller (5) of an in silico coarse-grained (CG) 2 simulation approach that replicates co-translational membrane protein insertion on realistic time scales. Despite its simplicity, this approach has been demonstrated to reproduce numerous experimental observations while providing a molecular-scale depiction of their underlying events.Niesen et al.(1) have now pushed their CG simulations out of the computer and into the lab (Fig. 1). The authors made the initial simulation-experiment connection for the sixtransmembrane-domain (TM) protein TatC last year (6). In the present study, they created 140 variants, predicted the insertion efficiency of each from simulation, and then measured expression levels in E. coli. The variants ranged from single-point mutations to the swapping of entire loops. A statistical analysis of the results showed that mutations that enhanced insertion in the CG simulations were fourfold more likely to enhance expression in experiments over random selection, demonstrating the simulations' predictive power. Furthermore, the a...