Knowledge-based potential for positioning membrane-associated structures and assessing residue-specific energetic contributions.

The complex hydrophobic and hydrophilic milieus of membrane-associated proteins pose experimental and theoretical challenges to their understanding. Here, we produce a nonredundant database to compute knowledge-based asymmetric cross-membrane potentials from the per-residue distributions of C(ß), C(γ) and functional group atoms. We predict transmembrane and peripherally associated regions from genomic sequence and position peptides and protein structures relative to the bilayer (available at http://www.degradolab.org/ez). The pseudo-energy topological landscapes underscore positional stability and functional mechanisms demonstrated here for antimicrobial peptides, transmembrane proteins, and viral fusion proteins. Moreover, experimental effects of point mutations on the relative ratio changes of dual-topology proteins are quantitatively reproduced. The functional group potential and the membrane-exposed residues display the largest energetic changes enabling to detect native-like structures from decoys. Hence, focusing on the uniqueness of membrane-associated proteins and peptides, we quantitatively parameterize their cross-membrane propensity, thus facilitating structural refinement, characterization, prediction, and design.

De novo design of a single-chain diphenylporphyrin metalloprotein.

We describe the computational design of a single-chain four-helix bundle that noncovalently self-assembles with fully synthetic non-natural porphyrin cofactors. With this strategy, both the electronic structure of the cofactor as well as its protein environment may be varied to explore and modulate the functional and photophysical properties of the assembly. Solution characterization (NMR, UV-vis) of the protein showed that it bound with high specificity to the desired cofactors, suggesting that a uniquely structured protein and well-defined site had indeed been created. This provides a genetically expressed single-chain protein scaffold that will allow highly facile, flexible, and asymmetric variations to enable selective incorporation of different cofactors, surface-immobilization, and introduction of spectroscopic probes.

Fluorescence correlation spectroscopic study of serpin depolymerization by computationally designed peptides.

Members of the serine proteinase inhibitor (serpin) family play important roles in the inflammatory and coagulation cascades. Interaction of a serpin with its target proteinase induces a large conformational change, resulting in insertion of its reactive center loop (RCL) into the main body of the protein as a new strand within beta-sheet A. Intermolecular insertion of the RCL of one serpin molecule into the beta-sheet A of another leads to polymerization, a widespread phenomenon associated with a general class of diseases known as serpinopathies. Small peptides are known to modulate the polymerization process by binding within beta-sheet A. Here, we use fluorescence correlation spectroscopy (FCS) to probe the mechanism of peptide modulation of alpha(1)-antitrypsin (alpha(1)-AT) polymerization and depolymerization, and employ a statistical computationally-assisted design strategy (SCADS) to identify new tetrapeptides that modulate polymerization. Our results demonstrate that peptide-induced depolymerization takes place via a heterogeneous, multi-step process that begins with internal fragmentation of the polymer chain. One of the designed tetrapeptides is the most potent antitrypsin depolymerizer yet found.

Characterization of a membrane protein folding motif, the Ser zipper, using designed peptides.

Polar residues play important roles in the association of transmembrane helices and the stabilities of membrane proteins. Although a single Ser residue in a transmembrane helix is unable to mediate a strong association of the helices, the cooperative interactions of two or more appropriately placed serine hydroxyl groups per helix has been hypothesized to allow formation of a "serine zipper" that can stabilize transmembrane helix association. In particular, a heptad repeat Sera Xxx Xxx Leud Xxx Xxx Xxx (Xxx is a hydrophobic amino acid) appears in both antiparallel helical pairs of polytopic membrane proteins as well as the parallel helical dimerization motif found in the murine erythropoietin receptor. To examine the intrinsic conformational preferences of this motif independent of its context within a larger protein, we synthesized a peptide containing three copies of a SeraLeud heptad motif. Computational results are consistent with the designed peptide adopting either a parallel or antiparallel structure, and conformational search calculations yield the parallel dimer as the lowest energy configuration, which is also significantly more stable than the parallel trimer. Analytical ultracentrifugation indicated that the peptide exists in a monomer-dimer equilibrium in dodecylphosphocholine micelles. Thiol disulfide interchange studies showed a preference for forming parallel dimers in micelles. In phospholipid vesicles, only the parallel dimer was formed. The stability of the SerZip peptide was studied in vesicles prepared from phosphatidylcholine (PC) lipids of different chain length: POPC (C16:0C18:1 PC) and DLPC (C12:0PC). The stability was greater in POPC, which has a good match between the length of the hydrophobic region of the peptide and the bilayer length. Finally, mutation to Ala of the Ser residues in the SerZip motif gave rise to a relatively small decrease in the stability of the dimer, indicating that packing interactions rather than hydrogen-bonding provided the primary driving force for association.