Atomic resolution Protein Allostery from the multi-state Structure of a PDZ Domain

Recent methodological advances in solution NMR allow the determination of multi-state protein structures and provide insights into correlated motion at atomic resolution as demonstrated here for the well-studied PDZ2 domain of protein human tyrosine phosphatase 1E for which protein allostery was predicted. Two-state protein structures were calculated for both the free form and in complex with the RA-GEF2 peptide using the exact nuclear Overhauser effect (eNOE) method. In the apo protein states an allosteric conformational preselection step comprising almost 60% of the domain was detected with an "open" ligand welcoming state and a "closed" state that obstructs the binding site by the distance between the β-sheet, α-helix 2 and sidechains of residues Lys38 and Lys72. Observed apo-holo structural rearrangements of induced fit-type are in line with previously published evolution-based analysis covering ~25% of the domain with only a partial overlap with the protein allostery of the open form. These presented structural studies highlight the presence of a dedicated highly optimized dynamic interplay of the complexity of the PDZ2 domain owed by the structure-dynamics landscape.

Network analysis reveals how lipids and other cofactors influence membrane protein allostery

Many membrane proteins are modulated by external stimuli, such as small molecule binding or change in pH, transmembrane voltage or temperature. This modulation typically occurs at sites that are structurally distant from the functional site. Revealing the communication, known as allostery, between these two sites is key to understanding the mechanistic details of these proteins. Residue interaction networks of isolated proteins are commonly used to this end. Membrane proteins, however, are embedded in a lipid bilayer which may contribute to allosteric communication. The fast diffusion of lipids hinders direct use of standard residue interaction networks. Here, we present an extension which includes cofactors such as lipids and small molecules in the network. The novel framework is applied to three membrane proteins: a voltage-gated ion channel (KCNQ1), a G-protein coupled receptor (GPCR - β2 adrenergic receptor) and a pH-gated ion channel (KcsA). Through systematic analysis of the obtained networks and their components, we demonstrate the importance of lipids for membrane protein allostery. Finally, we reveal how small molecules may stabilize different protein states by allosterically coupling and decoupling the protein from the membrane.