Interaction modes at protein hetero-dimer interfaces

Hetero dimer (different monomers) interfaces are involved in catalysis and regulation through the formation of interface active sites. This is critical in cell and molecular biology events. The physical and chemical factors determining the formation of the interface active sites is often large in numbers. The combined role of interacting features is frequently combinatorial and additive in nature. Therefore, it is important to determine the physical and chemical features of such interactions. A number of such features have been documented in literature since 1975. However, the use of such interaction features in the prediction of interaction partners and sites given their sequences is still a challenge. In a non-redundant dataset of 156 hetero-dimer structures determined by X-ray crystallography, the interacting partners are often varying in size and thus, size variation between subunits is an important factor in determining the mode of interface formation. The size of protein subunits interacting are either small-small, largelarge, medium-medium, large-small, large-medium and small-medium. It should also be noted that the interface formed between subunits have physical interactions at N terminal (N), C terminal (C) and middle (M) region of the protein with reference to their sequences in one dimension. These features are believed to have application in the prediction of interaction partners and sites from sequences. However, the use of such features for interaction prediction from sequence is not currently clear.     

Analysing six types of protein-protein interfaces

Non-covalent residue side-chain interactions occur in many different types of proteins and facilitate many biological functions. Are these differences manifested in the sequence compositions and/or the residue-residue contact preferences of the interfaces? Previous studies analysed small data sets and gave contradictory answers. Here, we introduced a new data-mining method that yielded the largest high-resolution data set of interactions analysed. We introduced an information theory-based analysis method. On the basis of sequence features, we were able to differentiate six types of protein interfaces, each corresponding to a different functional or structural association between residues. Particularly, we found significant differences in amino acid composition and residue-residue preferences between interactions of residues within the same structural domain and between different domains, between permanent and transient interfaces, and between interactions associating homo-oligomers and hetero-oligomers. The differences between the six types were so substantial that, using amino acid composition alone, we could predict statistically to which of the six types of interfaces a pool of 1000 residues belongs at 63-100% accuracy. All interfaces differed significantly from the background of all residues in SWISS-PROT, from the group of surface residues, and from internal residues that were not involved in non-trivial interactions. Overall, our results suggest that the interface type could be predicted from sequence and that interface-type specific mean-field potentials may be adequate for certain applications.     

Semisynthesis and optimization of G protein‐coupled receptor mimics

We have recently developed a soluble mimic of the corticotropin‐releasing factor receptor type 1 (CRF1), a membrane‐spanning G protein‐coupled receptor, which allowed investigations on receptor–ligand interactions. The CRF1 mimic consists of the receptor N‐terminus and three synthetic extracellular loops (ECL1–3), which constitute the extracellular receptor domains (ECDs) of CRF1, coupled to a linear peptide template. Here, we report the synthesis of a modified CRF1 mimic, which is more similar to the native receptor possessing a cyclic template that displays the ECDs in a more physiological conformation compared with the initial linear design. In order to facilitate detailed biophysical investigations on CRF1 mimics, we have further established a cost‐efficient access to the CRF1 mimic, which is suitable for isotopic labeling for NMR spectroscopy. To this end, the loop‐mimicking cyclic peptide of the ECL2 of CRF1 was produced recombinantly and cyclized by expressed protein ligation. Cyclic ECL2 was obtained in milligram scale, and CRF1 mimics synthesized from this material displayed the same binding properties as synthetic CRF1 constructs. Copyright © 2014 European Peptide Society and John Wiley & Sons, Ltd.     

Protein–protein interaction at crystal contacts

Packing contacts are crystal artifacts, yet they make use of the same forces that govern specific recognition in protein-protein complexes and oligomeric proteins. They provide examples of a nonspecific protein-protein interaction which can be compared to biologically relevant ones. We evaluate the number and size of pairwise interfaces in 152 crystal forms where the asymmetric unit contains a monomeric protein. In those crystal forms that have no element of 2-fold symmetry, we find that molecules form 8 to 10 pairwise interfaces. The total area of the surface buried on each molecule is large, up to 4400 Ų. Pairwise interfaces bury 200–1200 Ų, like interfaces generated at random in a computer simulation, and less than interfaces in protease-inhibitor or antigen-antibody complexes, which bury 1500 Ų or more. Thus, specific contacts occurring in such complexes extend over a larger surface than nonspecific ones. In crystal forms with 2-fold symmetry, pairwise interfaces are fewer and larger on average than in the absence of 2-fold symmetry. Some bury 1500–2500 Ų, like interfaces in oligomeric proteins, and create “crystal oligomers” which may have formed in the solution before crystallizing. © 1995 Wiley-Liss, Inc.     

Insights from the structural analysis of protein heterodimer interfaces

Protein heterodimer complexes are often involved in catalysis, regulation, assembly, immunity and inhibition. This involves the formation of stable interfaces between the interacting partners. Hence, it is of interest to describe heterodimer interfaces using known structural complexes. We use a non-redundant dataset of 192 heterodimer complex structures from the protein databank (PDB) to identify interface residues and describe their interfaces using amino-acids residue property preference. Analysis of the dataset shows that the heterodimer interfaces are often abundant in polar residues. The analysis also shows the presence of two classes of interfaces in heterodimer complexes. The first class of interfaces (class A) with more polar residues than core but less than surface is known. These interfaces are more hydrophobic than surfaces, where protein-protein binding is largely hydrophobic. The second class of interfaces (class B) with more polar residues than core and surface is shown. These interfaces are more polar than surfaces, where binding is mainly polar. Thus, these findings provide insights to the understanding of protein-protein interactions.     

Prediction of protein-protein interactions using protein signature profiling

Protein domains are conserved and functionally independent structures that play an important role in interactions among related proteins. Domain-domain interactions have been recently used to predict protein-protein interactions (PPI). In general, the interaction probability of a pair of domains is scored using a trained scoring function. Satisfying a threshold, the protein pairs carrying those domains are regarded as "interacting". In this study, the signature contents of proteins were utilized to predict PPI pairs in Saccharomyces cerevisiae, Caenorhabditis elegans, and Homo sapiens. Similarity between protein signature patterns was scored and PPI predictions were drawn based on the binary similarity scoring function. Results show that the true positive rate of prediction by the proposed approach is approximately 32% higher than that using the maximum likelihood estimation method when compared with a test set, resulting in 22% increase in the area under the receiver operating characteristic (ROC) curve. When proteins containing one or two signatures were removed, the sensitivity of the predicted PPI pairs increased significantly. The predicted PPI pairs are on average 11 times more likely to interact than the random selection at a confidence level of 0.95, and on average 4 times better than those predicted by either phylogenetic profiling or gene expression profiling.     

GRIP: A server for predicting interfaces for GPCR oligomerization

G-Protein Coupled Receptors (GPCRs) are one of the most important pharmaceutical targets. Recent studies have revealed that many GPCRs form homo- and/or hetero-oligomers. The molecular mechanisms of oligomerization are not fully understood yet, due to the lack of structural data for GPCR complexes. Therefore, accurate interface prediction would accelerate investigations of the molecular mechanisms of oligomerization and signaling via GPCRs. However, interface prediction for GPCR oligomerization is difficult, because the various GPCR subtypes often use different structural regions as their interfaces, even when the subtypes belong to the same subfamily. Previously, we developed a method to predict the interfaces for GPCR oligomerization, which overcomes the difficulty described above. We have now launched a web service, named G-protein coupled Receptors Interaction Partners (GRIP) (http://grip.cbrc.jp/GRIP/index.html), to predict the interfaces for GPCR oligomerization. As far as we know, it is the only service to predict the interfaces for GPCR oligomerization.     

Functional protein microarray: an ideal platform for investigating protein binding property

Functional protein microarray is an important tool for high-throughput and large-scale systems biology studies.Besides the progresses that have been made for protein microarray fabrication,significant ...     

Design and synthesis of AApeptides: a new class of peptide mimics

A new family of peptide mimics termed ‘AApeptides’, which are oligomers of N-acylated-N-aminoethyl amino acids, was proposed. The design and efficient synthesis of AApeptides are described. As proof-of-the-concept, we show that AApeptides can inhibit p53/MDM2 protein-protein interaction with significant activity (IC₅₀ = 38 μM) and specificity. Preliminary data also demonstrates that AApeptides are resistant to enzymatic hydrolysis. With the ease of synthesis and diversification, potent bioactivity, and resistance to proteolysis, the development of sequence-specific AApeptides may expand the potential biomedical applications of peptidomimetics.     

Synthetic peptide mimics of a predicted topographical interaction surface: the cytochrome P450 2B1 recognition domain for NADPH-cytochrome P450 reductase

In order to identify the cytochrome P450-binding domain for NADPH-cytochrome P450 reductase, synthetic peptide mimics of predicted surface regions of rat cytochrome P450 2B1 were constructed and evaluated for inhibition of the P450-reductase interaction. A peptide corresponding to residues 116–134, which includes the C helix, completely inhibited reductase-mediated benzphetamine demethylation by purified P450 2B1. Replacement of Arg-125 by Glu yielded a noninhibitory peptide, suggesting that this residue significantly contributes to the reductase-P450 interaction. Additional P450 peptides were prepared which correspond to combinations of regions distant in primary sequence, but predicted to be spatially proximate. A peptide derived from segments of the C and L helices was a more potent inhibitor than peptides derived from either segment alone. This topographically designed peptide not only inhibited P450 2B1 in its purified form, but also when membrane-bound in rat liver microsomes. The peptide also inhibited microsomal aryl hydrocarbon hydroxylase, aniline hydroxylase, and erythromycin demethylase activities derived from other P450s. These results indicate that the C and L helices contribute to a reductase-binding site common to multiple P450s, and present a peptide mimic for this region that is useful for inhibition of P450-mediated microsomal activities.     

互作蛋白质与复合物亚基的基因表达相关性比较分析

利用在多种应激条件下酵母的基因表达谱数据 ,分别计算互作蛋白质及复合物亚基编码基因的表达相关性。结果发现 ,相对于随机对照组 ,互作蛋白质的编码基因与蛋白质复合物的编码基因表达相关性均显著 (P <0 .0 1) ,即互作蛋白质及复合物亚基有共表达的倾向。通过比较 ,进一步发现蛋白质复合物亚基的基因表达相关性显著高于互作蛋白质的基因表达相关性 (P <0 .0 1) ,这与复合物亚基之间功能联系强于定义不甚确切的互作蛋白之间功能联系现象吻合。     

Constraints imposed by non‐functional protein–protein interactions on gene expression and proteome size

Crowded intracellular environments present a challenge for proteins to form functional specific complexes while reducing non‐functional interactions with promiscuous non‐functional partners. Here we show how the need to minimize the waste of resources to non‐functional interactions limits the proteome diversity and the average concentration of co‐expressed and co‐localized proteins. Using the results of high‐throughput Yeast 2‐Hybrid experiments, we estimate the characteristic strength of non‐functional protein–protein interactions. By combining these data with the strengths of specific interactions, we assess the fraction of time proteins spend tied up in non‐functional interactions as a function of their overall concentration. This allows us to sketch the phase diagram for baker's yeast cells using the experimentally measured concentrations and subcellular localization of their proteins. The positions of yeast compartments on the phase diagram are consistent with our hypothesis that the yeast proteome has evolved to operate closely to the upper limit of its size, whereas keeping individual protein concentrations sufficiently low to reduce non‐functional interactions. These findings have implication for conceptual understanding of intracellular compartmentalization, multicellularity and differentiation.     

Functional NifD-K fusion protein in Azotobacter vinelandii is a homodimeric complex equivalent to the native heterotetrameric MoFe protein

The MoFe protein of the complex metalloenzyme nitrogenase folds as a heterotetramer containing two copies each of the homologous alpha and beta subunits, encoded by the nifD and the nifK genes respectively. Recently, the functional expression of a fusion NifD-K protein of nitrogenase was demonstrated in Azotobacter vinelandii, strongly implying that the MoFe protein is flexible as it could accommodate major structural changes, yet remain functional [M.H. Suh, L. Pulakat, N. Gavini, J. Biol. Chem. 278 (2003) 5353-5360]. This finding led us to further explore the type of interaction between the fused MoFe protein units. We aimed to determine whether an interaction exists between the two fusion MoFe proteins to form a homodimer that is equivalent to native heterotetrameric MoFe protein. Using the Bacteriomatch Two-Hybrid System, translationally fused constructs of NifD-K (fusion) with the full-length lambdaCI of the pBT bait vector and also NifD-K (fusion) with the N-terminal alpha-RNAP of the pTRG target vector were made. To compare the extent of interaction between the fused NifD-K proteins to that of the beta-beta interactions in the native MoFe protein, we proceeded to generate translationally fused constructs of NifK with the alpha-RNAP of the pTRG vector and lambdaCI protein of the pBT vector. The strength of the interaction between the proteins in study was determined by measuring the beta-galactosidase activity and extent of ampicillin resistance of the colonies expressing these proteins. This analysis demonstrated that direct protein-protein interaction exists between NifD-K fusion proteins, suggesting that they exist as homodimers. As the interaction takes place at the beta-interfaces of the NifD-K fusion proteins, we propose that these homodimers of NifD-K fusion protein may function in a similar manner as that of the heterotetrameric native MoFe protein. The observation that the extent of protein-protein interaction between the beta-subunits of the native MoFe protein in BacterioMatch Two-Hybrid System is comparable to the extent of protein-protein interaction observed between the NifD-K fusion proteins in the same system further supports this idea.     

Improvement of the synthesis and pharmacokinetic properties of chromenotriazolopyrimidine MDM2-p53 protein-protein inhibitors

Human murine double minute 2 (MDM2) is a negative regulator of p53, which plays an important role in cell cycle and apoptosis. We report several optimizations to the synthesis of the chromenotriazolopyrimidine series of MDM2-p53 protein-protein interaction inhibitors. Additionally, the in vitro and in vivo stability, pharmacokinetic properties and solubility were improved through N-substitution.     

Acyl cystamine: small-molecular foldase mimics accelerating oxidative refolding of disulfide-containing proteins

Based on the structural characteristic of Protein disulfide isomerases and DsbA that have hydrophobic regions around the active sites, hydrophobic alkyl tails are linked to cystamine to create new small molecular foldase mimics, acyl cystamine. Both the oxidizing power and oxidation specificity of cystamine are enhanced by n-octanoyl or n-hexanoyl tail. N-octanoyl and n-hexanoyl cystamine are very effective to facilitate oxidative protein refolding at strong reducing environments. In the presence of 0.42 mM DTT, the activity recovery of lysozyme is over 90% by 90-min refolding with 0.1 mM n-octanoyl cystamine and 0.1 mM cystamine as oxidant, while almost no activity is recovered with 0.2 mM GSSG by 160-min refolding. For the refolding of 0.2 mg/mL lysozyme, with 0.6 mM n-hexanoyl cystamine and 1.12 mM residual DTT as redox agents, the activity recovery reaches as high as 93% after refolding for only 20 min. For ribonuclease A (RNase A) refolding, with 0.4 mM n-hexanoyl cystamine and 1.30 mM DTT, the recovery of activity reaches as high as 90% within 3 h. Thus, with n-octanoyl or n-hexanoyl cystamine as the oxidants, the necessity to remove excess DTT in the reduced and denatured protein solutions can be greatly alleviated. With a moderate hydrophobicity, n-hexanoyl cystamine is promising for application in oxidative protein refolding at an extensive concentration range. It is observed that in the oxidative refolding of 0.2 mg/mL lysozyme and RNase A, only about half of n-hexanoyl cystamine is needed when compared to cystamine to achieve the same kinetic effect.     

Cloning and expression of the uracil–DNA glycosylase inhibitor (UGI) from bacteriophage PBS-1 and crystallization of a uracil–DNA glycosylase–UGI complex

The uracil-DNA glycosylase inhibitory protein (UGI) from the bacterio-phage PBS-l has been cloned and overexpressed. The nucleotide sequence is identical to that for the previously described PBS-2 inhibitor. The recombinant PBS-l UGI inhibits the uracil-DNA glycosylase from herpes simplex virus type-l (HSV-l UDGase), and a complex between the HSV-l UDGase and PBS-l UGI has been crystallized. The crystals have unit cell dimensions a = 143.21 Å, c = 40.78 Å and are in a polar hexagonal space group. There is a single complex in the asymmetric unit with a solvent content of 62% by volume and the crystals diffract to 2.5Å on a synchrotron radiation source. © 1995 Wiley-Liss, Inc.     

蛋白质-蛋白质相互作用及其抑制剂研究进展

蛋白质-蛋白质相互作用在细胞活动和生命过程中扮演着非常重要的角色。基因调节、免疫应答、信号转导、细胞组装等等都离不开蛋白质-蛋白质的相互作用。近几年,靶向蛋白质-蛋白质相互作用及其抑制剂研究也逐渐成为研究的热点;但是蛋白质复合物相互作用界面的一些特点和性质,如相互作用界面较大、结合界面较为平坦等,使蛋白质-蛋白质相互作用及其抑制剂研究充满了挑战。本文主要总结了蛋白质-蛋白质相互作用界面的一些性质和特点,分析了界面特性与其抑制剂设计的关系,并讨论了蛋白质-蛋白质相互作用的理论预测方法及其抑制剂的类型和特点,最后又通过实例说明了如何进行蛋白质-蛋白质相互作用抑制剂的设计。     

Polygalacturonase-inhibiting protein (PGIP) in plant defence: a structural view

Polygalacturonase-inhibiting proteins are plant extracellular leucine-rich repeat proteins that specifically bind and inhibit fungal polygalacturonases. The interaction with PGIP limits the destructive potential of polygalacturonases and might trigger the plant defence responses induced by oligogalacturonides. A high degree of polymorphism is found both in PGs and PGIPs, accounting for the specificity of different plant inhibitors for PGs from different fungi. Here, we review the structural features and our current understanding of the PG-PGIP interaction.     

Structure homology and interaction redundancy for discovering virus–host protein interactions

Virus–host interactomes are instrumental to understand global perturbations of cellular functions induced by infection and discover new therapies. The construction of such interactomes is, however, technically challenging and time consuming. Here we describe an original method for the prediction of high‐confidence interactions between viral and human proteins through a combination of structure and high‐quality interactome data. Validation was performed for the NS1 protein of the influenza virus, which led to the identification of new host factors that control viral replication.