Data mining for protein–protein interactions in invertebrate model organisms

Well-annotated genome databases are available for many invertebrate species, notably the fruitfly, Drosophila melanogaster, and the nematode, Caenorhabditis elegans. An adequate interpretation of this information at the biological level requires the exploration of the interactions between the gene products. Knowledge of protein interactions and the components of cell signalling pathways in the fly and worm are particularly valuable as hypotheses can be rapidly tested using the powerful genetic toolkits available. Invertebrates offer additional experimental advantages when attempting to characterise protein–protein interactions (PPIs). Their relatively small genome size compared to mammals helps to reduce missed interactions due to redundancy, and their function can be addressed using forward (mutants) and reverse (RNA interference) genetics. However, the researcher looking for evidence of PPIs for a protein of interest is faced with the challenge of extracting interaction data from sources that are highly varied, such as the results of microarray experiments in the unstructured text of research papers. This challenge is greatly reduced by a range of public databases of curated information, as well as publicly available, enhanced search engines, which can provide either direct experimental evidence for a PPI, or valuable clues for generating new hypotheses.     

Systems for the detection and analysis of protein–protein interactions

The analysis of protein–protein interactions is important for developing a better understanding of the functional annotations of proteins that are involved in various biochemical reactions in vivo. The discovery that a protein with an unknown function binds to a protein with a known function could provide a significant clue to the cellular pathway concerning the unknown protein. Therefore, information on protein–protein interactions obtained by the comprehensive analysis of all gene products is available for the construction of interactive networks consisting of individual protein–protein interactions, which, in turn, permit elaborate biological phenomena to be understood. Systems for detecting protein–protein interactions in vitro and in vivo have been developed, and have been modified to compensate for limitations. Using these novel approaches, comprehensive and reliable information on protein–protein interactions can be determined. Systems that permit this to be achieved are described in this review.K. Kuroda, M. Kato and J. Mima contributed equally to this work.     

Protein–protein interactions between SWCNT/chitosan/EGF and EGF receptor: a model of drug delivery system

Epidermal growth factor (EGF) was used as the targeting ligand to enhance the specificity of a cancer drug delivery system (DDS) via its specific interaction with the EGF receptor (EGFR) that is overexpressed on the surface of some cancer cells. To investigate the intermolecular interaction and binding affinity between the EGF-conjugated DDS and the EGFR, 50 ns molecular dynamics simulations were performed on the complex of tethered EGFR and EGF linked to single-wall carbon nanotube (SWCNT) through a biopolymer chitosan wrapping the tube outer surface (EGFR·EGF-CS-SWCNT-Drug complex), and compared to the EGFR·EGF complex and free EGFR. The binding pattern of the EGF-CS-SWCNT-Drug complex to the EGFR was broadly comparable to that for EGF, but the binding affinity of the EGF-CS-SWCNT-Drug complex was predicted to be somewhat better than that for EGF alone. Additionally, the chitosan chain could prevent undesired interactions of SWCNT at the binding pocket region. Therefore, EGF connected to SWCNT via a chitosan linker is a seemingly good formulation for developing a smart DDS served as part of an alternative cancer therapy.     

Protein–protein interactions of huntingtin in the hippocampus

Molecular Biology - Huntingtin (HTT) occurs in the neuronal cytoplasm and can interact with structural elements of synapses. Huntington’s disease (HD) results from pathological expansion of a...     

Recent advances in predicting protein–protein interactions with the aid of artificial intelligence algorithms

Protein–protein interactions (PPIs) are essential in the regulation of biological functions and cell events, therefore understanding PPIs have become a key issue to understanding the molecular mechanism and investigating the design of drugs. Here we highlight the major developments in computational methods developed for predicting PPIs by using types of artificial intelligence algorithms. The first part introduces the source of experimental PPI data. The second part is devoted to the PPI prediction methods based on sequential information. The third part covers representative methods using structural information as the input feature. The last part is methods designed by combining different types of features. For each part, the state-of-the-art computational PPI prediction methods are reviewed in an inclusive view. Finally, we discuss the flaws existing in this area and future directions of next-generation algorithms.     

Suppression of the androgen receptor function by quercetin through protein–protein interactions of Sp1, c-Jun, and the androgen receptor in human prostate cancer cells

We have previously reported that the increase in c-Jun expression induced by quercetin inhibited androgen receptor (AR) transactivation, and Sp1 was involved in quercetin-mediated downregulation of AR activity. Transient transfection assays in this work revealed that co-expression of c-Jun quenched Sp1-induced production of luciferase activity driven by AR promoter or three copies of Sp1 binding elements in the AR promoter. Moreover, c-Jun repressed AR-mediated luciferase activity via androgen-response elements (AREs) of the hK2 gene, while this suppression could be restored partially by cotransfection of Sp1 expression plasmid. The physical associations of c-Jun, Sp1, and AR induced by quercetin were further demonstrated by co-immunoprecipitation experiments. In addition, quercetin-mediated repression of AR expression and activity was partially reversed by blocking of JNK signaling pathway. These results suggested that c-Jun might play an important role in the suppression of AR expression and activity in the presence of quercetin, and association of a c-Jun/Sp1/AR protein complex induced by quercetin represented a novel mechanism that was involved in down-regulation of the AR function in prostate cancer cells.     

Crystal structure of tarocystatin–papain complex: implications for the inhibition property of group-2 phytocystatins

Tarocystatin (CeCPI) from taro (Colocasia esculenta cv. Kaohsiung no. 1), a group-2 phytocystatin, shares a conserved N-terminal cystatin domain (NtD) with other phytocystatins but contains a C-terminal cystatin-like extension (CtE). The structure of the tarocystatin–papain complex and the domain interaction between NtD and CtE in tarocystatin have not been determined. We resolved the crystal structure of the phytocystatin–papain complex at resolution 2.03 Å. Surprisingly, the structure of the NtD–papain complex in a stoichiometry of 1:1 could be built, with no CtE observed. Only two remnant residues of CtE could be built in the structure of the CtE–papain complex. Therefore, CtE is easily digested by papain. To further characterize the interaction between NtD and CtE, three segments of tarocystatin, including the full-length (FL), NtD and CtE, were used to analyze the domain–domain interaction and the inhibition ability. The results from glutaraldehyde cross-linking and yeast two-hybrid assay indicated the existence of an intrinsic flexibility in the region linking NtD and CtE for most tarocystatin molecules. In the inhibition activity assay, the glutathione-S-transferase (GST)-fused FL showed the highest inhibition ability without residual peptidase activity, and GST-NtD and FL showed almost the same inhibition ability, which was higher than with NtD alone. On the basis of the structures, the linker flexibility and inhibition activity of tarocystatins, we propose that the overhangs from the cystatin domain may enhance the inhibition ability of the cystatin domain against papain.     

Exploring the role of post-translational modifications on protein–protein interactions with survivin

Survivin is a member of the inhibitor of apoptosis protein (IAP) family with crucial roles in apoptosis and cell cycle regulation. Post-translational modifications (PTMs) have a ubiquitous role in the regulation of a diverse range of proteins’ cellular functions and survivin is not an exception. Phosphorylation, acetylation and ubiquitination seem to regulate survivin anti-apoptotic and mitotic roles and also its nuclear localization. In the present review we explore the role of PTMs on protein–protein interactions focused on survivin to provide new insights into the functions and cell localization of this IAP in pathophysiological conditions, which might help the envisioning of novel targeted therapies for diseases characterized by impaired survivin activity. Protein–protein interaction analysis was performed with bioinformatics tools based on published data aiming to give an integrated perspective of this IAP’s role in the cell.     

Crystal structure of the read-through domain from bacteriophage Qβ A1 protein

Bacteriophage Qβ is a small RNA virus that infects Escherichia coli. The virus particle contains a few copies of the minor coat protein A1, a C‐terminally prolonged version of the coat protein, which is formed when ribosomes occasionally read‐through the leaky stop codon of the coat protein. The crystal structure of the read‐through domain from bacteriophage Qβ A1 protein was determined at a resolution of 1.8 Å. The domain consists of a heavily deformed five‐stranded β‐barrel on one side of the protein and a β‐hairpin and a three‐stranded β‐sheet on the other. Several short helices and well‐ordered loops are also present throughout the protein. The N‐terminal part of the read‐through domain contains a prominent polyproline type II helix. The overall fold of the domain is not similar to any published structure in the Protein Data Bank.     

Cholesterol transport in steroid biosynthesis: Role of protein–protein interactions and implications in disease states

The transfer of cholesterol from the outer to the inner mitochondrial membrane is the rate-limiting step in hormone-induced steroid formation. To ensure that this step is achieved efficiently, free cholesterol must accumulate in excess at the outer mitochondrial membrane and then be transferred to the inner membrane. This is accomplished through a series of steps that involve various intracellular organelles, including lysosomes and lipid droplets, and proteins such as the translocator protein (18 kDa, TSPO) and steroidogenic acute regulatory (StAR) proteins. TSPO, previously known as the peripheral-type benzodiazepine receptor, is a high-affinity drug- and cholesterol-binding mitochondrial protein. StAR is a hormone-induced mitochondria-targeted protein that has been shown to initiate cholesterol transfer into mitochondria. Through the assistance of proteins such as the cAMP-dependent protein kinase regulatory subunit Iα (PKA-RIα) and the PKA-RIα- and TSPO-associated acyl-coenzyme A binding domain containing 3 (ACBD3) protein, PAP7, cholesterol is transferred to and docked at the outer mitochondrial membrane. The TSPO-dependent import of StAR into mitochondria, and the association of TSPO with the outer/inner mitochondrial membrane contact sites, drives the intramitochondrial cholesterol transfer and subsequent steroid formation. The focus of this review is on (i) the intracellular pathways and protein–protein interactions involved in cholesterol transport and steroid biosynthesis and (ii) the roles and interactions of these proteins in endocrine pathologies and neurological diseases where steroid synthesis plays a critical role.     

Application of a novel in silico high-throughput screen to identify selective inhibitors for protein–protein interactions

Increasing numbers of target protein structures available for computational studies makes the structure-based screening paradigm more attractive for initial hit indentification. We have developed a novel in silico screening methodology incorporating Molecular Mechanics (MM)/implicit solvent methods to evaluate binding free energies and applied this technology to the identification of inhibitors of the TLR4/MD-2 interaction.     

Crystal structure of the p38α MAP kinase in complex with a docking peptide from TAB1

The mitogen-activated protein kinase (MAPK) p38α is a key regulator in many cellular processes, whose activity is tightly regulated by upstream kinases, phosphatases and other regulators. Transforming growth factor-β activated kinase 1 (TAK1) is an upstream kinase in p38α signaling, and its full activation requires a specific activator, the TAK1-binding protein (TAB1). TAB1 was also shown to be an inducer of p38α’s autophosphorylation and/or a substrate driving the feedback control of p38α signaling. Here we determined the complex structure of the unphosphorylated p38α and a docking peptide of TAB1, which shows that the TAB1 peptide binds to the classical MAPK docking groove and induces long-range conformational changes on p38α. Our structural and biochemical analyses suggest that TAB1 is a reasonable substrate of p38α, yet the interaction between the docking peptide and p38α may not be sufficient to trigger trans-autophosphorylation of p38α.     

Crystal structure of the 30 K protein from the silkworm Bombyx mori reveals a new member of the β-trefoil superfamily

The hemolymph of the fifth instar larvae of the silkworm Bombyx mori contains a group of homologous proteins with a molecular weight of approximately 30 kDa, termed B. mori low molecular weight lipoproteins (Bmlps), which account for about 5% of the total plasma proteins. These so-called "30 K proteins" have been reported to be involved in the innate immune response and transportation of lipid and/or sugar. To elucidate their molecular functions, we determined the crystal structure of a 30 K protein, Bmlp7, at 1.91?. It has two distinct domains: an all-α N-terminal domain (NTD) and an all-β C-terminal domain (CTD) of the β-trefoil fold. Comparative structural analysis indicates that Bmlp7 represents a new family, adding to the 14 families currently identified, of the β-trefoil superfamily. Structural comparison and simulation suggest that the NTD has a putative lipid-binding cavity, whereas the CTD has a potential sugar-binding site. However, we were unable to detect the binding of either lipid or sugar. Therefore, further investigations are needed to characterize the molecular function of this protein.     

Crystal structure of Hyp-1, a St. John’s wort protein implicated in the biosynthesis of hypericin

Hypericin, a red-colored naphtodianthrone, is a natural product synthesized in the medicinal plant Hypericum perforatum, widely known as St. John’s wort. Hypericin has been attracting a growing attention of the pharmaceutical industry because of its potential application in various therapies, including the treatment of depression. In vivo, hypericin is synthesized by dimerization of emodin in a complicated multistep reaction that is reportedly catalyzed by a small (17.8 kDa) protein, Hyp-1. Based on relatively low sequence similarity (～50%), Hyp-1 has been tentatively classified as a plant PR-10 (pathogenesis-related class 10) protein. Members of the PR-10 family are ubiquitous plant proteins associated with stress control and tissue differentiation but with no clearly understood molecular mechanism. They have, however, a well-defined folding canon, consisting of an extended antiparallel β-sheet wrapped around a C-terminal α-helix, enclosing in the protein interior a huge cavity, in which various hydrophobic ligands can be bound. Apart from Hyp-1, only two other PR-10 members have been found to possess enzymatic activity (S-norcoclaurine synthase and TcmN aromatase/cyclase). In this paper, we report a high-resolution crystal structure of Hyp-1, confirming that it indeed has a PR-10 fold. The protein binds multiple polyethylene glycol molecules, some of which occupy the hydrophobic cavity. The crystallographic model illustrates a high degree of conformational adaptability of both interacting partners for efficient binding. We have been unable, however, to dimerize emodin to hypericin using Hyp-1 as biocatalyst. This puzzling result does not have a clear explanation at this time.     

Crystal structure of a stress inducible protein from Mycoplasma pneumoniae at 2.85 Å resolution

Journal of Structural and Functional Genomics -     

Preparation of reconstituted acetylcholine receptor membranes suitable for AFM imaging of lipid–protein interactions

The nicotinic acetylcholine receptor (nAChR) has been reconstituted in POPC vesicles at high lipid–protein (L/P) ratios for the preparation of supported lipid bilayers with a low protein density for studies of protein–lipid interactions using atomic force microscopy (AFM). Initial reconstitutions using a standard dialysis method with bulk L/P ratios ranging from 20:1 to 100:1 (w/w) gave heterogeneous samples that contained both empty vesicles and proteoliposomes with a range of L/P ratios. This is problematic because empty vesicles adsorb and rupture to form bilayer patches more rapidly than do protein-rich vesicles, resulting in the loss of protein during sample washing. Although it was not possible to find reconstitution conditions that gave homogeneous populations of vesicles with high L/P ratios, an additional freeze–thaw cycle immediately after dialysis did reproducibly yield a fraction of proteoliposomes with L/P ratios above 100:1. These proteoliposomes were separated by sucrose gradient centrifugation and used to prepare supported bilayers with well-separated individual receptors and minimal adsorbed proteoliposomes. AFM images of such samples showed many small features protruding from the bilayer surface. These features range in height from 1 to 5 nm, consistent with the smaller intracellular domain of the protein exposed, and have lateral dimensions consistent with an individual receptor. Some bilayers with reconstituted protein also had a small fraction of higher features that are assigned to nAChR with the larger extracellular domain exposed and showed evidence for aggregation to give dimers or small oligomers. This work demonstrates the importance of using highly purified reconstituted membranes with uniform lipid–protein ratios for AFM studies of integral membrane protein–lipid interactions.