Intra- and intermolecular interactions in proteins Studies of marginally hydrophobic transmembrane alpha-helices and protein-protein interactions

Abstract: Most of the processes in a living cell are carried out by proteins. Depending on the needs of the cell, different proteins will interact and form the molecular machines demanded for the moment. A subset of proteins called integral membrane proteins are responsible for the interchange of matter and information across the biological membrane, the lipid bilayer enveloping and defining the cell. Most of these proteins are co-translationally integrated into the membrane by the Sec translocation machinery.This thesis addresses two questions that have emerged during the last decade. The first concerns membrane proteins: a number of ?-helices have been observed to span the membrane in the obtained three-dimensional structures even though these helices are predicted not to be hydrophobic enough to be recognized by the translocon for integration. We show for a number of these marginally hydrophobic protein segments that they indeed do not insert well outside of their native context, but that their local sequence context can improve the level of integration mediated by the translocon. We also find that many of these helices are overlapped by more hydrophobic segments. We propose, supported by experimental results, that the latter are initially integrated into the membrane, followed by post-translational structural rearrangements. Finally, we investigate whether the integration of the marginally hydrophobic TMHs of the lactose permease of Escherichia coli is facilitated by the formation of hairpin structures. However our combined efforts of computational simulations and experimental investigations find no evidence for this.The second question addressed in this thesis is that of the interpretation of the large datasets on which proteins that interact with each other in a cell. We have analyzed the results from several large-scale investigations concerning protein interactions in yeast and draw conclusions regarding the biases, strengths and weaknesses of these datasets and the methods used to obtain them.