Intracellular antibody capture: A molecular biology approach to inhibitors of protein–protein interactions

Many proteins of interest in basic biology, translational research studies and for clinical targeting in diseases reside inside the cell and function by interacting with other macromolecules. Protein complexes control basic processes such as development and cell division but also abnormal cell growth when mutations occur such as found in cancer. Interfering with protein–protein interactions is an important aspiration in both basic and disease biology but small molecule inhibitors have been difficult and expensive to isolate. Recently, we have adapted molecular biology techniques to develop a simple set of protocols for isolation of high affinity antibody fragments (in the form of single VH domains) that function within the reducing environment of higher organism cells and can bind to their target molecules. The method called Intracellular Antibody Capture (IAC) has been used to develop inhibitory anti-RAS and anti-LMO2 single domains that have been used for target validation of these antigens in pre-clinical cancer models and illustrate the efficacy of the IAC approach to generation of drug surrogates. Future use of inhibitory VH antibody fragments as drugs in their own right (we term these macrodrugs to distinguish them from small molecule drugs) requires their delivery to target cells in vivo but they can also be templates for small molecule drug development that emulate the binding sites of the antibody fragments. This article is part of a Special Issue entitled: Recent advances in molecular engineering of antibody.     

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.     

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.

An integrated in silico approach to understand protein–protein interactions: human meprin-β with fetuin-A

Abstract

Human meprin-β, a zinc metalloprotease belonging to the astacin family, have been found to be associated with many pathological conditions like inflammatory bowel disease, fibrosis and neurodegenerative disease. The inhibition of meprin-β by various inhibitors, both macromolecular and small molecules, is crucial in the control of several diseases. Human fetuin-A, a negative acute phase protein involved in inflammatory disease, has recently been identified as an endogenous inhibitor for meprin-β. In this computational study, an integrated in silico approach was performed using existing structural information of meprin-β coupled with ab initio modelling of human fetuin-A to predict a rational model of the complex through protein–protein docking. Further, the models were optimized and validated to generate an ensemble of conformations through extensive molecular dynamics simulation. Virtual alanine scanning mutagenesis was explored to identify hotspot residues on both proteins significant for protein–protein interaction (PPI). The results of the study provide structural insight into PPI between meprin-β and fetuin-A which can be useful in designing molecules to modulate meprin-β activity.

Communicated by Ramaswamy H. Sarma     

Mapping the protein–protein and genetic interactions of cancer to guide precision medicine

Massive efforts to sequence cancer genomes have compiled an impressive catalogue of cancer mutations, revealing the recurrent exploitation of a handful of ‘hallmark cancer pathways’. However, unraveling how sets of mutated proteins in these and other pathways hijack pro-proliferative signaling networks and dictate therapeutic responsiveness remains challenging. Here, we show that cancer driver protein–protein interactions are enriched for additional cancer drivers, highlighting the power of physical interaction maps to explain known, as well as uncover new, disease-promoting pathway interrelationships. We hypothesize that by systematically mapping the protein–protein and genetic interactions in cancer—thereby creating Cancer Cell Maps—we will create resources against which to contextualize a patient’s mutations into perturbed pathways/complexes and thereby specify a matching targeted therapeutic cocktail.     

In planta analysis of protein–protein interactions related to light signaling by bimolecular fluorescence complementation

The determination of protein-protein interactions is becoming more and more important in the molecular analysis of signal transduction chains. To this purpose the application of a manageable and simple assay in an appropriate biological system is of major concern. Bimolecular fluorescence complementation (BiFC) is a novel method to analyze protein-protein interactions in vivo. The assay is based on the observation that N- and C-terminal subfragments of the yellow-fluorescent protein (YFP) can only reconstitute a functional fluorophore when they are brought into tight contact. Thus, proteins can be fused to the YFP subfragments and the interaction of the fusion proteins can be monitored by epifluorescence microscopy. Pairs of interacting proteins were tested after transient cotransfection in etiolated mustard seedlings, which is a well characterized plant model system for light signal transduction. BiFC could be demonstrated with the F-box protein EID1 (empfindlicher im dunkelroten Licht 1) and the Arabidopsis S-phase kinase-related protein 1 (ASK1). The interaction of both proteins was specific and strictly dependent on the presence of an intact F-box domain. Our studies also demonstrate that etiolated mustard seedlings provide a versatile transient assay system to study light-induced subcellular localization events.     

Reading the glyco-code: New approaches to studying protein–carbohydrate interactions

The surface of all living cells is decorated with carbohydrate molecules. Hundreds of functional proteins bind to these glycosylated ligands; such binding events subsequently modulate many aspects of protein and cell function. Identifying ligands for glycan-binding proteins (GBPs) is a defining challenge of glycoscience research. Here, we review recent advances that are allowing protein-carbohydrate interactions to be dissected with an unprecedented level of precision. We specifically highlight how cell-based glycan arrays and glyco-genomic profiling are being used to define the structural determinants of glycan-protein interactions in living cells. Going forward, these methods create exciting new opportunities for the study of glycans in physiology and disease.     

Using yeast to model calcium-related diseases: Example of the Hailey–Hailey disease

Cross-complementation studies offer the possibility to overcome limitations imposed by the inherent complexity of multicellular organisms in the study of human diseases, by taking advantage of simpler model organisms like the budding yeast Saccharomyces cerevisiae. This review deals with, (1) the use of S. cerevisiae as a model organism to study human diseases, (2) yeast-based screening systems for the detection of disease modifiers, (3) Hailey–Hailey as an example of a calcium-related disease, and (4) the presentation of a yeast-based model to search for chemical modifiers of Hailey–Hailey disease. The preliminary experimental data presented and discussed here show that it is possible to use yeast as a model system for Hailey–Hailey disease and suggest that in all likelihood, yeast has the potential to reveal candidate drugs for the treatment of this disorder. This article is part of a Special Issue entitled: Calcium signaling in health and disease. Guest Editors: Geert Bultynck, Jacques Haiech, Claus W. Heizmann, Joachim Krebs, and Marc Moreau.     

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.     

Direct targeting of β-catenin: Inhibition of protein–protein interactions for the inactivation of Wnt signaling

The activation of developmental signaling pathways such as Notch, Hedgehog and Wnt has implications in the onset and progression of numerous types of cancer. Consequently, targeting of such pathways is considered an attractive therapeutic approach. Inhibition of the Wnt signaling cascade proves to be complicated, in part, due to the lack of druggable pathway components. The central hub in Wnt signaling is the protein β-catenin, which is involved in numerous protein–protein interactions. In general, the inhibition of protein–protein interactions is challenging in particular with binding interfaces lacking pronounced hydrophobic pockets. Herein, we give an overview of β-catenin–protein interactions, and we review active agents that were reported to inhibit canonical Wnt signaling via direct targeting of β-catenin.     

The specificity of monoglyceride–protein interactions and mechanism of the protein induced Lβ to coagel phase transition

This study aims at gaining insight into the specificity and molecular mechanism of monoglyceride–protein interactions. We used β-lactoglobulin (β-LG) and lysozyme as model proteins and both monostearoylglycerol and monopalmitoylglycerol as defined gel phase monoglycerides. The monoglycerides were used in different combinations with the two negatively charged amphiphiles dicetylphosphate and distearylphosphate. The interactions were characterized using the monolayer technique, isothermal titration calorimetry, ²H-nuclear magnetic resonance (NMR) using deuterium labelled monoglycerides and freeze fracture electron microscopy (EM). Our results show that lysozyme inserts efficiently into all monolayers tested, including pure monoglyceride layers. The insertion of β-LG depends on the lipid composition of the monolayer and is promoted when the acylchains of the negatively charged amphiphile are shorter than that of the monoglyceride. The binding parameters found for the interaction of β-LG and lysozyme with monoglyceride bilayers were generally similar. Moreover, in all cases a large exothermic binding enthalpy was observed which was found to depend on the nature of the monoglycerides but not of the proteins. ²H-NMR and freeze fracture EM showed that this large enthalpy results from a protein mediated catalysis of the monoglyceride L_β to coagel phase transition. The mechanism of this phase transition consists of two steps, an initial protein mediated vesicle aggregation step which is followed by stacking and probably fusion of the bilayers.     

Physicochemical study of the protein–liposome interactions: influence of liposome composition and concentration on protein binding

Abstract

The aim of the present study is to investigate the interactions between liposomes and proteins and to evaluate the role of liposomal lipid composition and concentration in the formation of protein corona. Liposomes composed of 1,2-dipalmitoyl-sn-glycero-3-phosphocholine (DPPC) or hydrogenated soybean phosphatidylcholine (HSPC) with 1,2-dipalmitoyl-sn-glycero-3-phospho-(1′-rac-glycerol) (sodium salt) (DPPG), 1,2-dipalmitoyl-sn-glycero-3-phosphoethanolamine-N-[methoxy(polyethylene glycol)-3000] (DPPE-PEG 3000), cholesterol (CH) or mixtures of these lipids, were prepared at different concentrations by the thin-film hydration method. After liposomes were dispersed in HPLC-grade water and foetal bovine serum (FBS), their physicochemical characteristics, such as size, size distribution, and ζ-potential, were determined using dynamic and electrophoretic light scattering. Aggregation of DPPC, HSPC, DPPC:CH (9:1 molar ratio), and HSPC:CH (9:1 molar ratio) in FBS was observed. On the contrary, liposomes incorporating DPPG lipids and CH both in a molar ratio of 11% were found to be stable over time, while their size did not alter dramatically in biological medium. Liposomes containing CH and PEGylated lipids retain their size in the presence of serum as well as their physical stability. In addition, our results indicate that the protein binding depends on the presence of polyethylene glycol (PEG), CH, concentration and surface charge. In this paper, we introduce a new parameter, fraction of stealthiness (F_s), for investigating the extent of protein binding to liposomes. This parameter depends on the changes in size of liposomes after serum incubation, while liposomes have stealth properties when F_s is close to 1. Thus, we conclude that lipid composition and concentration affect the adsorption of proteins and the liposomal stabilization.     

Immuno-spin trapping of protein and DNA radicals: “Tagging” free radicals to locate and understand the redox process

Biomolecule-centered radicals are intermediate species produced during both reversible (redox modulation) and irreversible (oxidative stress) oxidative modification of biomolecules. These oxidative processes must be studied in situ and in real time to understand the molecular mechanism of cell adaptation or death in response to changes in the extracellular environment. In this regard, we have developed and validated immuno-spin trapping to tag the redox process, tracing the oxidatively generated modification of biomolecules, in situ and in real time, by detecting protein- and DNA-centered radicals. The purpose of this methods article is to introduce and update the basic methods and applications of immuno-spin trapping for the study of redox biochemistry in oxidative stress and redox regulation. We describe in detail the production, detection, and location of protein and DNA radicals in biochemical systems, cells, and tissues, and in the whole animal as well, by using immuno-spin trapping with the nitrone spin trap 5,5-dimethyl-1-pyrroline N-oxide.     

Binding of proflavin to chymotrypsin: an experiment to determine protein–ligand interactions by direct nonlinear regression analysis of spectroscopic titration data

The dissociation constant and stoichiometry of a proflavin–chymotrypsin complex are determined by spectroscopic titration and direct nonlinear regression data analysis in a simple experiment during one laboratory period.     

Proteomic approaches to uncovering virus–host protein interactions during the progression of viral infection

The integration of proteomic methods to virology has facilitated a significant breadth of biological insight into mechanisms of virus replication, antiviral host responses and viral subversion of host defenses. Throughout the course of infection, these cellular mechanisms rely heavily on the formation of temporally and spatially regulated virus–host protein–protein interactions. Reviewed here are proteomic-based approaches that have been used to characterize this dynamic virus–host interplay. Specifically discussed are the contribution of integrative mass spectrometry, antibody-based affinity purification of protein complexes, cross-linking and protein array techniques for elucidating complex networks of virus–host protein associations during infection with a diverse range of RNA and DNA viruses. The benefits and limitations of applying proteomic methods to virology are explored, and the contribution of these approaches to important biological discoveries and to inspiring new tractable avenues for the design of antiviral therapeutics is highlighted.