Assessment and significance of protein–protein interactions during development of protein biopharmaceuticals

Early development of protein biotherapeutics using recombinant DNA technology involved progress in the areas of cloning, screening, expression and recovery/purification. As the biotechnology industry matured, resulting in marketed products, a greater emphasis was placed on development of formulations and delivery systems requiring a better understanding of the chemical and physical properties of newly developed protein drugs. Biophysical techniques such as analytical ultracentrifugation, dynamic and static light scattering, and circular dichroism were used to study protein–protein interactions during various stages of development of protein therapeutics. These studies included investigation of protein self-association in many of the early development projects including analysis of highly glycosylated proteins expressed in mammalian CHO cell cultures. Assessment of protein–protein interactions during development of an IgG1 monoclonal antibody that binds to IgE were important in understanding the pharmacokinetics and dosing for this important biotherapeutic used to treat severe allergic IgE-mediated asthma. These studies were extended to the investigation of monoclonal antibody–antigen interactions in human serum using the fluorescent detection system of the analytical ultracentrifuge. Analysis by sedimentation velocity analytical ultracentrifugation was also used to investigate competitive binding to monoclonal antibody targets. Recent development of high concentration protein formulations for subcutaneous administration of therapeutics posed challenges, which resulted in the use of dynamic and static light scattering, and preparative analytical ultracentrifugation to understand the self-association and rheological properties of concentrated monoclonal antibody solutions.     

Peptides and peptidomimetics as regulators of protein–protein interactions

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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.     

Analysis of secondary structural and physicochemical changes in protein–protein complexes

Conformation switching in protein–protein complexes is considered important for the molecular recognition process. Overall analysis of 123 protein–protein complexes in a benchmark data-set showed that 6.8% of residues switched over their secondary structure conformation upon complex formation. Amino acid residue-wise preference for conformation change has been analyzed in binding and non-binding site residues separately. In this analysis, residues such as Ser, Leu, Glu, and Lys had higher frequency of secondary structural conformation change. The change of helix to coil and sheet to coil conformation and vice versa has been observed frequently, whereas the conformation change of helix to extended sheet occurred rarely in the studied complexes. Influence of conformation change toward the N and C terminal on either side of the binding site residues has been analyzed. Further, analysis on φ and ψ angle variation, conservation, stability, and solvent accessibility have been performed on binding site residues. Knowledge obtained from the present study could be effectively employed in the protein–protein modeling and docking studies.     

Characterization of protein–protein interactions between rice viruses and vector insects

Planthoppers are the most notorious rice pests, because they transmit various rice viruses in a persistent-propagative manner. Protein–protein interactions (PPIs) between virus and vector are crucial for virus transmission by vector insects. However, the number of known PPIs for pairs of rice viruses and planthoppers is restricted by low throughput research methods. In this study, we applied DeNovo, a virus-host sequence-based PPI predictor, to predict potential PPIs at a genome-wide scale between three planthoppers and five rice viruses. PPIs were identified at two different confidence thresholds, referred to as low and high modes. The number of PPIs for the five planthopper-virus pairs ranged from 506 to 1985 in the low mode and from 1254 to 4286 in the high mode. After eliminating the “one-too-many” redundant interacting information, the PPIs with unique planthopper proteins were reduced to 343–724 in the low mode and 758–1671 in the high mode. Homologous analysis showed that 11 sets and 31 sets of homologous planthopper proteins were shared by all planthopper-virus interactions in the two modes, indicating that they are potential conserved vector factors essential for transmission of rice viruses. Ten PPIs between small brown planthopper and rice stripe virus (RSV) were verified using glutathione-S-transferase (GST)/His-pull down or co-immunoprecipitation assay. Five of the ten PPIs were proven positive, and three of the five SBPH proteins were confirmed to interact with RSV. The predicted PPIs provide new clues for further studies of the complicated relationship between rice viruses and their vector insects.     

Impact of protein and ligand impurities on ITC-derived protein–ligand thermodynamics

Background

The thermodynamic characterization of protein–ligand interactions by isothermal titration calorimetry (ITC) is a powerful tool in drug design, giving valuable insight into the interaction driving forces. ITC is thought to require protein and ligand solutions of high quality, meaning both the absence of contaminants as well as accurately determined concentrations.

Methods

Ligands synthesized to deviating purity and protein of different pureness were titrated by ITC. Data curation was attempted also considering information from analytical techniques to correct stoichiometry.

Results and conclusions

We used trypsin and tRNA-guanine transglycosylase (TGT), together with high affinity ligands to investigate the effect of errors in protein concentration as well as the impact of ligand impurities on the apparent thermodynamics. We found that errors in protein concentration did not change the thermodynamic properties obtained significantly. However, most ligand impurities led to pronounced changes in binding enthalpy. If protein binding of the respective impurity is not expected, the actual ligand concentration was corrected for and the thus revised data compared to thermodynamic properties obtained with the respective pure ligand. Even in these cases, we observed differences in binding enthalpy of about 4 kJ ⋅ mol^− 1, which is considered significant.

General significance

Our results indicate that ligand purity is the critical parameter to monitor if accurate thermodynamic data of a protein–ligand complex are to be recorded. Furthermore, artificially changing fitting parameters to obtain a sound interaction stoichiometry in the presence of uncharacterized ligand impurities may lead to thermodynamic parameters significantly deviating from the accurate thermodynamic signature.     

Cloning and identifying of a novel protein binding with death domain of the death receptor 4

DR4 (Death Receptor 4) belongs to the tumor necrosis factor (TNF) receptor gene family, which is defined by similar, cysteine-rich extracellular domain and a homologous cytoplasmic sequence termed as "death domain". DR4 can transmit apoptosis signal initiated by Apo2L/TRAIL (TNF-related apoptosis inducing ligand). It can activate caspases within seconds of ligand binding and cause an apoptotic demise of the cell within hours. Despite several investigations, the mechanisms of apoptosis initiation by Apo2L/TRAIL remain unclear.     

Rational design of the survivin/CDK4 complex by combining protein–protein docking and molecular dynamics simulations

Survivin, the smallest inhibitor of apoptosis protein (IAP), is a valid target for cancer research. It mediates both the apoptosis pathway and the cell cycle and has been proposed to form a complex with the cyclin-dependent kinase protein CDK4. The resulting complex transports CDK4 from the cytosol to the nucleus, where CDK4 participates in cell division. Survivin has been recognized as a node protein that interacts with several partners; disruption of the formed complexes can lead to new anticancer compounds. We propose a rational model of the survivin/CDK4 complex that fulfills the experimental evidence and that can be used for structure-based design of inhibitors modifying its interface recognition. In particular, the suggested complex involves the alpha helical domain of survivin and resembles the mode of binding of survivin in the survivin/borealin X-ray structure. The proposed model has been obtained by combining protein–protein docking, fractal-based shape complementarity, electrostatics studies and extensive molecular dynamics simulations.

Functional dissection of an intrinsically disordered protein: Understanding the roles of different domains of Knr4 protein in protein�Cprotein interactions

Knr4, recently characterized as an intrinsically disordered Saccharomyces cerevisiae protein, participates in cell wall formation and cell cycle regulation. It is constituted of a functional central globular core flanked by a poorly structured N‐terminal and large natively unfolded C‐terminal domains. Up to now, about 30 different proteins have been reported to physically interact with Knr4. Here, we used an in vivo two‐hybrid system approach and an in vitro surface plasmon resonance (BIAcore) technique to compare the interaction level of different Knr4 deletion variants with given protein partners. We demonstrate the indispensability of the N‐terminal domain of Knr4 for the interactions. On the other hand, presence of the unstructured C‐terminal domain has a negative effect on the interaction strength. In protein interactions networks, the most highly connected proteins or “hubs” are significantly enriched in unstructured regions, and among them the transient hub proteins contain the largest and most highly flexible regions. The results presented here of our analysis of Knr4 protein suggest that these large disordered regions are not always involved in promoting the protein–protein interactions of hub proteins, but in some cases, might rather inhibit them. We propose that this type of regions could prevent unspecific protein interactions, or ensure the correct timing of occurrence of transient interactions, which may be of crucial importance for different signaling and regulation processes.     

Sugar recognition and protein–protein interaction of mammalian lectins conferring diverse functions

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Structural and mechanistic commonalities of amyloid-β and the prion protein

Amyloid beta (Aβ) is a major causative agent of Alzheimer disease (AD). This neurotoxic peptide is generated as a result of the cleavage of the Amyloid-Precursor-Protein (APP) by the action of β-secretase and γ-secretase. The neurotoxicity was previously thought to be the result of aggregation. However, recent studies suggest that the interaction of Aβ with numerous cell surface receptors such as N-methyl-D-aspartate (NMDA), receptor for advanced glycosylation end products (RAGE), P75 neurotrophin receptor (P75^NTR) as well as cell surface proteins such as the cellular prion protein (PrP^c) and heparan sulfate proteoglycans (HSPG) strongly enhances Aβ induced apoptosis and thereby contributes to neurotoxicity. This review focuses on the molecular mechanism resulting in Aβ-shedding as well as Aβ-induced apoptotic processes, genetic risk factors for familial AD and interactions of Aβ with cell surface receptors and proteins, with particular emphasis on the cellular prion protein. Furthermore, comparisons are drawn between AD and prion disorders and the role of laminin, an extracellular matrix protein, glycosaminoglycans and the 37 kDa/67 kDa laminin receptor (LRP/LR) have been highlighted with regards to both neurodegenerative diseases.Key words: Alzheimer disease, amyloid β, apoptosis, 37 kDa/67 kDa laminin receptor, prion proteinsAlzheimer disease (AD), primarily defined by psychiatrist Alois Alzheimer in 1906, is a neurodegenerative disorder and currently exhibits a prevalence that “doubles approximately every five years from 0.5% at the common age of onset-65 years old.”¹ This disease is the most common form of dementia afflicting the elderly and at present affects in excess of 37 million people globally² and it is predicted that 100 million people will be living with the disease by 2050.³AD has received mounting scientific interest and has stimulated tireless research endeavours not only due to the complex mechanism by which it is caused; the multitude of contributing factors and contradictions which have arisen between hypotheses and acquired results, but also due to the rise in life expectancies⁴ owing to the advent of modern medicine, which has socio-economic implications particularly in terms of strain placed upon national health systems.     

Design and synthesis of a hybrid potentiator–corrector agonist of the cystic fibrosis mutant protein ΔF508-CFTR

A developing therapy of cystic fibrosis caused by the ΔF508 mutation in CFTR employs correction of defective CFTR chloride channel gating by a ‘potentiator’ and of defective CFTR protein folding by a ‘corrector’. Based on SAR data for phenylglycine-type potentiators and bithiazole correctors, we designed a hybrid molecule incorporating an enzymatic hydrolysable linker to deliver the potentiator (PG01) fragment 2 and the corrector (Corr-4a) fragment 13. The hybrid molecule 14 contained PG01-OH and Corr-4a–linker–CO₂H moieties, linked with an ethylene glycol spacer through an ester bond. The potentiator 2 and corrector 13 fragments (after cleavage) had low micromolar potency for restoration of ΔF508-CFTR channel gating and cellular processing, respectively. Cleavage of hybrid molecule 14 by intestinal enzymes under physiological conditions produced the active potentiator 2 and corrector fragments 13, providing proof-of-concept for small-molecule potentiator–corrector hybrids as a single drug therapy for CF caused by the ΔF508 mutation.     

Inhibition of dynamin-dependent endocytosis increases shedding of the amyloid precursor protein ectodomain and reduces generation of amyloid β protein

Background  

The amyloid precursor protein (APP) is transported via the secretory pathway to the cell surface, where it may be cleaved within its ectodomain by α-secretase, or internalized within clathrin-coated vesicles. An alternative proteolytic pathway occurs within the endocytic compartment, where the sequential action of β- and γ-secretases generates the amyloid β protein (Aβ). In this study, we investigated the effects of modulators of endocytosis on APP processing.     

Identification and characterization of the ATP·Mg-dependent protein phosphatase activator (F A) as a microtubule protein kinase in the brain

The activating factor of ATP·Mg-dependent protein phosphatase (F _A) has been identified in brain microtubules. When using purified MAP-2 (microtubule associated protein 2) and tau proteins as substrates,F _A could phosphorylate MAP-2 to 16 moles of phosphates per mole of protein with aK _m value of 0.4 µM, and tau proteins to 4 moles of phosphates per mole of proteins with aK _m value of about 3 µM. When using microtubules as substrates,F _A could enhance many-fold the endogenous phosphorylation of many microtubule-associated proteins including MAP-2, tau proteins, and several low-molecular-weight MAPs. In contrast to other reported MAP kinases, such as cAMP-dependent protein kinase and Ca⁺²/phospholipid-dependent protein kinase, theF _A-catalyzed phosphorylation of tau proteins could cause an electrophoretic mobility shift on sodium dodecyl sulfate polyacrylamide gel electrophoresis, suggesting that a dramatic conformational change of tau proteins was produced byF _A. Peptide mapping analysis of the phosphopeptides derived from SV8 protease digestion revealed thatF _A could phosphorylate MAP-2 and tau proteins on at least four specific sites distinctly different from those phosphorylated by cAMP-dependent and Ca⁺²/phospholipid-dependent MAP kinases. Quantitative analysis further indicated that approximately 19% of the total endogenous kinase activity in brain microtubules was due toF _A. Taken together, the results provide initial evidence that the ATP·Mg-dependent protein phosphatase activating factor (F _A) is a potent and unique MAP kinase, and may represent one of the major factors involved in phosphorylation of brain microtubules.     

Effect of hydrolytic lignin on formation of protein–lignin complexes and protein degradation by rumen microbes

Several methods have been developed to protect feed protein from rumen microbial degradation. The current study aimed to evaluate the potential use of an industrial lignin, namely hydrolytic lignin, to protect protein from rumen microbial degradation. The hydrolytic lignins assessed in this study were extracted from wheat straw previously subjected to various steam treatment conditions (pressure: 15, 17 and 19 bar; reaction time: 0, 5 and 10 min; use of acidic catalyst: without and with 2% H₂SO₄ on DM basis). Results indicated that hydrolytic lignin can precipitate protein when measured by a standard bovine serum albumin assay. It was also observed that protein-precipitating capacity of lignin increased with increasing harshness of steam treatment until a point from which no further effect was observed. The effect of lignin upon protein degradation in vitro was clearly detected. Both ammonia nitrogen and iso-acid concentration in vitro were significantly decreased (P<0.01) when lignin was added to fermentation flask containing casein. Unlike tannins, hydrolytic lignins do not inhibit rumen microbial activity. Additionally, it was observed that lignin’s ability to bind and protect protein is a pH-dependent reaction. Protein binding to lignin is markedly reduced at pH<3.0.