Dissecting protein-protein interactions in proteasome assembly: Implication to its self-assembly.

The 26S proteasome is a multi-catalytic ATP-dependent protease complex that recognizes and cleaves damaged or misfolded proteins to maintain cellular homeostasis. The 26S subunit consists of 20S core and 19S regulatory particles. 20S core particle consists of a stack of heptameric alpha and beta subunits. To elucidate the structure-function relationship, we have dissected protein-protein interfaces of 20S core particle and analyzed structural and physiochemical properties of intra-alpha, intra-beta, inter-beta, and alpha-beta interfaces. Furthermore, we have studied the evolutionary conservation of 20S core particle. We find the size of intra-alpha interfaces is significantly larger and is more hydrophobic compared with other interfaces. Inter-beta interfaces are well packed, more polar, and have higher salt-bridge density than other interfaces. In proteasome assembly, residues in beta subunits are better conserved than alpha subunits, while multi-interface residues are the most conserved. Among all the residues at the interfaces of both alpha and beta subunits, Gly is highly conserved. The largest size of intra-alpha interfaces complies with the hypothesis that large interfaces form first during the 20S assembly. The tight packing of inter-beta interfaces makes the core particle impenetrable from outer wall of the cylinder. Comparing the three domains, eukaryotes have large and well-packed interfaces followed by archaea and bacteria. Our findings provide a structural basis of assembly of 20S core particle in all the three domains of life.

A repressor activator protein1 homologue from an oleaginous strain of Candida tropicalis increases storage lipid production in Saccharomyces cerevisiae.

The repressor activator protein1 (Rap1) has been studied over the years as a multifunctional regulator in Saccharomyces cerevisiae. However, its role in storage lipid accumulation has not been investigated. This report documents the identification and isolation of a putative transcription factor CtRap1 gene from an oleaginous strain of Candida tropicalis, and establishes the direct effect of its expression on the storage lipid accumulation in S. cerevisiae, usually a non-oleaginous yeast. In silico analysis revealed that the CtRap1 polypeptide binds relatively more strongly to the promoter of fatty acid synthase1 (FAS1) gene of S. cerevisiae than ScRap1. The expression level of CtRap1 transcript in vivo was found to correlate directly with the amount of lipid produced in oleaginous native host C. tropicalis. Heterologous expression of the CtRap1 gene resulted in ∼ 4-fold enhancement of storage lipid content (57.3%) in S. cerevisiae. We also showed that the functionally active CtRap1 upregulates the endogenous ScFAS1 and ScDGAT genes of S. cerevisiae, and this, in turn, might be responsible for the increased lipid production in the transformed yeast. Our findings pave the way for the possible utility of the CtRap1 gene in suitable microorganisms to increase their storage lipid content through transcription factor engineering.

Binding of the bacteriophage P22 N-peptide to the boxB RNA motif studied by molecular dynamics simulations.

Protein-RNA interactions are important for many cellular processes. The Nut-utilization site (N)-protein of bacteriophages contains an N-terminal arginine-rich motif that undergoes a folding transition upon binding to the boxB RNA hairpin loop target structure. Molecular dynamics simulations were used to investigate the dynamics of the P22 N-peptide-boxB complex and to elucidate the energetic contributions to binding. In addition, the free-energy changes of RNA and peptide conformational adaptation to the bound forms, as well as the role of strongly bound water molecules at the peptide-RNA interface, were studied. The influence of peptide amino acid substitutions and the salt dependence of interaction were investigated and showed good agreement with available experimental results. Several tightly bound water molecules were found at the RNA-binding interface in both the presence and absence of N-peptide. Explicit consideration of the waters resulted in shifts of calculated contributions during the energetic analysis, but overall similar binding energy contributions were found. Of interest, it was found that the electrostatic field of the RNA has a favorable influence on the coil-to-alpha-helix transition of the N-peptide already outside of the peptide-binding site. This result may have important implications for understanding peptide-RNA complex formation, which often involves coupled folding and association processes. It indicates that electrostatic interactions near RNA molecules can lead to a shift in the equilibrium toward the bound form of an interacting partner before it enters the binding pocket.

Protein-protein interaction and quaternary structure.

Protein-protein recognition plays an essential role in structure and function. Specific non-covalent interactions stabilize the structure of macromolecular assemblies, exemplified in this review by oligomeric proteins and the capsids of icosahedral viruses. They also allow proteins to form complexes that have a very wide range of stability and lifetimes and are involved in all cellular processes. We present some of the structure-based computational methods that have been developed to characterize the quaternary structure of oligomeric proteins and other molecular assemblies and analyze the properties of the interfaces between the subunits. We compare the size, the chemical and amino acid compositions and the atomic packing of the subunit interfaces of protein-protein complexes, oligomeric proteins, viral capsids and protein-nucleic acid complexes. These biologically significant interfaces are generally close-packed, whereas the non-specific interfaces between molecules in protein crystals are loosely packed, an observation that gives a structural basis to specific recognition. A distinction is made within each interface between a core that contains buried atoms and a solvent accessible rim. The core and the rim differ in their amino acid composition and their conservation in evolution, and the distinction helps correlating the structural data with the results of site-directed mutagenesis and in vitro studies of self-assembly.

Residue conservation in viral capsid assembly.

To evaluate the evolutionary constraints placed on viral proteins by the structure and assembly of the capsid, we calculate Shannon entropies in the aligned sequences of 45 polypeptide chains in 32 icosahedral viruses, and relate these entropies to the residue location in the three-dimensional structure of the capsids. Three categories of residues have entropies lower than the chain average implying that they are better conserved than average: residues that are buried within a subunit (the protein core), residues that contain atoms buried at an interface between subunits (the interface core), and residues that contribute to several such interfaces. The interface core is also conserved in homomeric proteins and in transient protein-protein complexes, which have only one interface whereas capsids have many. In capsids, the subunit interfaces implicate most of the polypeptide chain: on average, 66% of the capsid residues are at an interface, 34% at more than one, and 47% at the interface core. Nevertheless, we observe that the degree of residue conservation can vary widely between interfaces within a capsid and between regions within an interface. The interfaces and regions of interfaces that show a low sequence variability are likely to play major roles in the self-assembly of the capsid, with implications on its mechanism that we discuss taking adeno-associated virus as an example.

Macromolecular recognition in the Protein Data Bank.

Crystal structures deposited in the Protein Data Bank illustrate the diversity of biological macromolecular recognition: transient interactions in protein-protein and protein-DNA complexes and permanent assemblies in homodimeric proteins. The geometric and physical chemical properties of the macromolecular interfaces that may govern the stability and specificity of recognition are explored in complexes and homodimers compared with crystal-packing interactions. It is found that crystal-packing interfaces are usually much smaller; they bury fewer atoms and are less tightly packed than in specific assemblies. Standard-size interfaces burying 1200-2000 A2 of protein surface occur in protease-inhibitor and antigen-antibody complexes that assemble with little or no conformation changes. Short-lived electron-transfer complexes have small interfaces; the larger size of the interfaces observed in complexes involved in signal transduction and homodimers correlates with the presence of conformation changes, often implicated in biological function. Results of the CAPRI (critical assessment of predicted interactions) blind prediction experiment show that docking algorithms efficiently and accurately predict the mode of assembly of proteins that do not change conformation when they associate. They perform less well in the presence of large conformation changes and the experiment stimulates the development of novel procedures that can handle such changes.

Revisiting the Voronoi description of protein-protein interfaces.

We developed a model of macromolecular interfaces based on the Voronoi diagram and the related alpha-complex, and we tested its properties on a set of 96 protein-protein complexes taken from the Protein Data Bank. The Voronoi model provides a natural definition of the interfaces, and it yields values of the number of interface atoms and of the interface area that have excellent correlation coefficients with those of the classical model based on solvent accessibility. Nevertheless, some atoms that do not lose solvent accessibility are part of the interface defined by the Voronoi model. The Voronoi model provides robust definitions of the curvature and of the connectivity of the interfaces, and leads to estimates of these features that generally agree with other approaches. Our implementation of the model allows an analysis of protein-water contacts that highlights the role of structural water molecules at protein-protein interfaces.

Theoretical model of the three-dimensional structure of a disease resistance gene homolog encoding resistance protein in Vigna mungo.

Plant disease resistance (R) genes, the key players of innate immunity system in plants encode 'R' proteins. 'R' protein recognizes product of avirulance gene from the pathogen and activate downstream signaling responses leading to disease resistance. No three dimensional (3D) structural information of any 'R' proteins is available as yet. We have reported a 'R' gene homolog, the 'VMYR1', encoding 'R' protein in Vigna mungo. Here, we describe the homology modeling of the 'VMYR1' protein. The model was created by using the 3D structure of an ATP-binding cassette transporter protein from Vibrio cholerae as a template. The strategy for homology modeling was based on the high structural conservation in the superfamily of P-loop containing nucleoside triphosphate hydrolase in which target and template proteins belong. This is the first report of theoretical model structure of any 'R' proteins.

ProFace: a server for the analysis of the physicochemical features of protein-protein interfaces.

BACKGROUND: Molecular recognition is all pervasive in biology. Protein molecules are involved in enzyme regulation, immune response, signal transduction, oligomer assembly, etc. Delineation of physical and chemical features of the interface formed by protein-protein association would allow us to better understand protein interaction networks on one hand, and to design molecules that can engage a given interface and thereby control protein function on the other hand. RESULTS: ProFace is a suite of programs that uses a file, containing atomic coordinates of a multi-chain molecule, as input and analyzes the interface between any two or more subunits. The interface residues are shown segregated into spatial patches (if such a clustering is possible based on an input threshold distance) and/or core and rim regions. A number of physicochemical parameters defining the interface is tabulated. Among the different output files, one contains the list of interacting residues across the interface. Results can be used to infer if a particular interface belongs to a homodimeric molecule. CONCLUSION: A web-server, ProFace (available at http://www.boseinst.ernet.in/resources/bioinfo/stag.html) has been developed for dissecting protein-protein interfaces and deriving various physicochemical parameters.

Quantifying the accessible surface area of protein residues in their local environment.

The quantification of the packing of residues in proteins and docking of ligands to macromolecules is important in understanding protein stability and drug design. The number of atoms in contact (within a distance of 4.5 A) can be used to describe the local environment of a residue. As this number increases, the accessible surface area (ASA) of the residue decreases exponentially and the variation can be described in terms of an exponential equation of the form y = a(1)exp(-x/a(2)), each residue having its own set of parameters a(1) and a(2), which also depend on whether the whole residue or just the side chain is considered. Hydrophobic and hydrophilic residues can be distinguished on the basis of both the average number of surrounding atoms and the variation of ASA. For a given number of partner atoms, a comparison of the observed ASA with the expected value obtained from the equation provides a method of assessing the goodness of packing of the residue in a protein structure or its importance in the binding of a ligand. The equation provides a method to estimate the ASA of a protein molecule and the average relative accessibilities of different residues, the latter being inversely correlated with hydrophobicity values.