Crystal structures of human prostatic acid phosphatase in complex with a phosphate ion and alpha-benzylaminobenzylphosphonic acid update the mechanistic picture and offer new insights into inhibitor design

The X-ray crystal structure of human prostatic acid phosphatase (PAP) in complex with a phosphate ion has been determined at 2.4 A resolution. This structure offers a snapshot of the final intermediate in the catalytic mechanism and does not support the role of Asp 258 as a proton donor in catalysis. A total of eight hydrogen bonds serve to strongly bind the phosphate ion within the active site. Bound PEG molecules from the crystallization matrix have allowed the identification of a channel within the molecule that likely plays a role in molecular recognition and in macromolecular substrate selectivity. Additionally, the structure of PAP in complex with a phosphate derivative, alpha-benzylaminobenzylphosphonic acid, a potent inhibitor (IC(50) = 4 nM), has been determined to 2.9 A resolution. This structure gives new insight into the determinants of binding hydrophobic ligands within the active site and allows us to explain PAP's preference for aromatic substrates.     

The bulge region of HIV-1 TAR RNA binds metal ions in solution

Binding of Mg²⁺, Ca²⁺ and Co(NH₃)₆³⁺ ions to the HIV-1 TAR RNA in solution was analysed by ¹⁹F NMR spectroscopy, metal ion-induced RNA cleavages and Brownian dynamics (BD) simulations. Chemically synthesised 29mer oligoribonucleotides of the TAR sequence labelled with 5-fluorouridine (FU) were used for ¹⁹F NMR-monitored metal ion titration. The chemical shift changes of fluorine resonances FU-23, FU-25 and FU-40 upon titration with Mg²⁺ and Ca²⁺ ions indicated specific, although weak, binding at the bulge region with the dissociation constants (K_d) of 0.9 ± 0.6 and 2.7 ± 1.7 mM, respectively. Argininamide, inducing largest ¹⁹F chemical shifts changes at FU-23, was used as a reference ligand (K_d = 0.3 ± 0.1 mM). In the Pb²⁺-induced TAR RNA cleavage experiment, strong and selective cleavage of the C24-U25 phosphodiester bond was observed, while Mg²⁺ and Ca²⁺ induced cuts at all 3-nt residues of the bulge. The inhibition of Pb²⁺-specific TAR cleavage by di- and trivalent metal ions revealed a binding specificity [in the order Co(NH₃)₆³⁺ > Mg²⁺ > Ca²⁺] at the bulge site. A BD simulation search of potential magnesium ion sites within the NMR structure of HIV-1 TAR RNA was conducted on a set of 20 conformers (PDB code 1ANR). For most cases, the bulge region was targeted by magnesium cations.     

In search for more accurate alignments in the twilight zone

A major bottleneck in comparative modeling is the alignment quality; this is especially true for proteins whose distant relationships could be reliably recognized only by recent advances in fold recognition. The best algorithms excel in recognizing distant homologs but often produce incorrect alignments for over 50% of protein pairs in large fold-prediction benchmarks. The alignments obtained by sequence-sequence or sequence-structure matching algorithms differ significantly from the structural alignments. To study this problem, we developed a simplified method to explicitly enumerate all possible alignments for a pair of proteins. This allowed us to estimate the number of significantly different alignments for a given scoring method that score better than the structural alignment. Using several examples of distantly related proteins, we show that for standard sequence-sequence alignment methods, the number of significantly different alignments is usually large, often about 10(10) alternatives. This distance decreases when the alignment method is improved, but the number is still too large for the brute force enumeration approach. More effective strategies were needed, so we evaluated and compared two well-known approaches for searching the space of suboptimal alignments. We combined their best features and produced a hybrid method, which yielded alignments that surpassed the original alignments for about 50% of protein pairs with minimal computational effort.     

Crystal structure of the actin binding domain of the cyclase-associated protein

Cyclase-associated protein (CAP or Srv2p) is a modular actin monomer binding protein that directly regulates filament dynamics and has been implicated in a number of complex developmental and morphological processes, including mRNA localization and the establishment of cell polarity. The crystal structure of the C-terminal dimerization and actin monomer binding domain (C-CAP) reveals a highly unusual dimer, composed of monomers possessing six coils of right-handed beta-helix flanked by antiparallel beta-strands. Domain swapping, involving the last two strands of each monomer, results in the formation of an extended dimer with an extensive interface. This structural and biochemical characterization provides new insights into the organization and potential mechanistic properties of the multiprotein assemblies that integrate dynamic actin processes into the overall physiology of the cell. An unanticipated finding is that the unique tertiary structure of the C-CAP monomer provides a structural model for a wide range of molecules, including RP2 and cofactor C, proteins involved in X-linked retinitis pigmentosa and tubulin maturation, respectively, as well as several uncharacterized proteins that exhibit very diverse domain organizations. Thus, the unusual right-handed beta-helical fold present in C-CAP appears to support a wide range of biological functions.     

Computational redesign of protein-protein interaction specificity

We developed a 'computational second-site suppressor' strategy to redesign specificity at a protein-protein interface and applied it to create new specifically interacting DNase-inhibitor protein pairs. We demonstrate that the designed switch in specificity holds in in vitro binding and functional assays. We also show that the designed interfaces are specific in the natural functional context in living cells, and present the first high-resolution X-ray crystallographic analysis of a computer-redesigned functional protein-protein interface with altered specificity. The approach should be applicable to the design of interacting protein pairs with novel specificities for delineating and re-engineering protein interaction networks in living cells.