Epitope‐specificity of recombinant antibodies reveals promiscuous peptide‐binding properties

Protein–peptide interactions are a common occurrence and essential for numerous cellular processes, and frequently explored in broad applications within biology, medicine, and proteomics. Therefore, understanding the molecular mechanism(s) of protein–peptide recognition, specificity, and binding interactions will be essential. In this study, we report the first detailed analysis of antibody–peptide interaction characteristics, by combining large‐scale experimental peptide binding data with the structural analysis of eight human recombinant antibodies and numerous peptides, targeting tryptic mammalian and eukaryote proteomes. The results consistently revealed that promiscuous peptide‐binding interactions, that is, both specific and degenerate binding, were exhibited by all antibodies, and the discovery was corroborated by orthogonal data, indicating that this might be a general phenomenon for low‐affinity antibody–peptide interactions. The molecular mechanism for the degenerate peptide‐binding specificity appeared to be executed through the use of 2–3 semi‐conserved anchor residues in the C‐terminal part of the peptides, in analogue to the mechanism utilized by the major histocompatibility complex–peptide complexes. In the long‐term, this knowledge will be instrumental for advancing our fundamental understanding of protein–peptide interactions, as well as for designing, generating, and applying peptide specific antibodies, or peptide‐binding proteins in general, in various biotechnical and medical applications.     

Characterization of PDZ domain‐peptide interaction interface based on energetic patterns

PDZ domain is one of the abundant modular domains that recognize short peptide sequences to mediate protein–protein interactions. To decipher the binding specificity of PDZ domain, we analyzed the interactions between 11 mouse PDZ domains and 217 peptides using a method called MIECSVM, which energetically characterizes the domain‐peptide interaction using molecular interaction energy components (MIECs) and predicts binding specificity using support vector machine (SVM). Cross‐validation and leave‐one‐domain‐out test showed that the MIEC‐SVM using all 44 PDZ‐peptide residue pairs at the interaction interface outperformed the sequence‐based methods in the literature. A further feature (residue pair) selection procedure illustrated that 16 residue pairs were uninformative to the binding specificity, even though they contributed significantly (～50%) to the binding energy. If only using the 28 informative residue pairs, the performance of the MIEC‐SVM on predicting the PDZ binding specificity was significantly improved. This analysis suggests that the informative and uninformative residue interactions between the PDZ domain and the peptide may represent those contributing to binding specificity and affinity, respectively. We performed additional structural and energetic analyses to shed light on understanding how the PDZ‐peptide recognition is established. The success of the MIEC‐SVM method on PDZ domains in this study and SH3 domains in our previous studies illustrates its generality on characterizing protein‐ peptide interactions and understanding protein recognition from a structural and energetic viewpoint.     

Structures of designed armadillo repeat proteins binding to peptides fused to globular domains

Designed armadillo repeat proteins (dArmRP) are α‐helical solenoid repeat proteins with an extended peptide binding groove that were engineered to develop a generic modular technology for peptide recognition. In this context, the term “peptide” not only denotes a short unstructured chain of amino acids, but also an unstructured region of a protein, as they occur in termini, loops, or linkers between folded domains. Here we report two crystal structures of dArmRPs, in complex with peptides fused either to the N‐terminus of Green Fluorescent Protein or to the C‐terminus of a phage lambda protein D. These structures demonstrate that dArmRPs bind unfolded peptides in the intended conformation also when they constitute unstructured parts of folded proteins, which greatly expands possible applications of the dArmRP technology. Nonetheless, the structures do not fully reflect the binding behavior in solution, that is, some binding sites remain unoccupied in the crystal and even unexpected peptide residues appear to be bound. We show how these differences can be explained by restrictions of the crystal lattice or the composition of the crystallization solution. This illustrates that crystal structures have to be interpreted with caution when protein–peptide interactions are characterized, and should always be correlated with measurements in solution.     

A strategy to identify linker-based modules for the allosteric regulation of antibody-antigen binding affinities of different scFvs

Antibody single-chain variable fragments (scFvs) are used in a variety of applications, such as for research, diagnosis and therapy. Essential for these applications is the extraordinary specificity, selectivity and affinity of antibody paratopes, which can also be used for efficient protein purification. However, this use is hampered by the high affinity for the protein to be purified because harsh elution conditions, which may impair folding, integrity or viability of the eluted biomaterials, are typically required. In this study, we developed a strategy to obtain structural elements that provide allosteric modulation of the affinities of different antibody scFvs for their antigen. To identify suitable allosteric modules, a complete set of cyclic permutations of calmodulin variants was generated and tested for modulation of the affinity when substituting the linker between VH and VL. Modulation of affinity induced by addition of different calmodulin-binding peptides at physiologic conditions was demonstrated for 5 of 6 tested scFvs of different specificities and antigens ranging from cell surface proteins to haptens. In addition, a variety of different modulator peptides were tested. Different structural solutions were found in respect of the optimal calmodulin permutation, the optimal peptide and the allosteric effect for scFvs binding to different antigen structures. Significantly, effective linker modules were identified for scFvs with both VH-VL and VL-VH architecture. The results suggest that this approach may offer a rapid, paratope-independent strategy to provide allosteric regulation of affinity for many other antibody scFvs.     

Native electrophoretic techniques to identify protein–protein interactions

Permanent protein–protein interactions are commonly identified by co‐purification of two or more protein components using techniques like co‐immunoprecipitation, tandem affinity purification and native electrophoresis. Here we focus on blue‐native electrophoresis, clear‐native electrophoresis, high‐resolution clear‐native electrophoresis and associated techniques to identify stable membrane protein complexes and detergent‐labile physiological supercomplexes. Hints for dynamic protein–protein interactions can be obtained using two‐hybrid techniques but not from native electrophoresis and other protein isolation techniques except after covalent cross‐linking of interacting proteins in vivo prior to protein separation.     

Affinity mass spectrometry-based approaches for the analysis of protein-protein interaction and complex mixtures of peptide-ligands.

Combined applications of affinity purification procedures and mass-spectrometric analyses (affinity mass spectrometry or affinity-directed mass spectrometry) have gained broad interest in various fields of biological sciences. We have extended these techniques to the purification and analysis of closely related peptides from complex mixtures and to the characterization of binding motifs and relative affinities in protein-protein interactions. The posttranslational modifications in the carboxy-terminal region of porcine brain tubulin are used as an example for the applicability of affinity mass spectrometry in the characterization of complex patterns of related peptides. We also show that affinity mass spectrometry allows the mapping of sequential binding motifs of two interacting proteins. Using the ActA/Mena protein-protein complex as a model system, we show that we can selectively purify Mena-binding peptides from a tryptic digest of ActA. The results from this assay are compared to data sets obtained earlier by classical methods using synthetic peptides and molecular genetic experiments. As a further expansion of affinity mass spectrometry, we have established an internally standardized system that allows comparison of the affinities of related ligands for a given protein. Here the affinities of two peptide ligands for the monoclonal tubulin-specific antibody YL1/2 are determined in terms of half-maximal competition.     

Quantitative specificity‐based display library screening identifies determinants of antibody‐epitope binding specificity

Despite the critical importance of molecular specificity in bimolecular systems, in vitro display technologies have been applied extensively for affinity maturation of peptides and antibodies without explicitly measuring the specificity of the desired interaction. We devised a general strategy to measure, screen, and evolve specificity of protein ligand interactions analogous to widely used affinity maturation strategies. The specificity of binding to target and nontarget antibodies labeled with spectrally distinct fluorophores was measured simultaneously in protein mixtures via multiparameter flow cytometry, thereby enabling screening for high target antibody specificity. Isolated antibody specific ligands exhibited varying specificity, revealing critical amino acid determinants for target recognition and nontarget avoidance in complex mixtures. Molecular specificity in the mixture was further enhanced by quantitative directed evolution, yielding a family of epitopes exhibiting improved specificities equivalent, or superior to, the native peptide antigen to which the antibody was raised. Specificity screening simultaneously favored affinity, yielding ligands with three‐fold improved affinity relative to the parent epitope. Quantitative specificity screening will be useful to screen, evolve, and characterize the specificity of protein and peptide interactions for molecular recognition applications.     

Use of protein-protein interactions in affinity chromatography.

Biospecific recognition between proteins is a phenomenon that can be exploited for designing affinity-chromatographic purification systems for proteins. In principle, the approach is straightforward, and there are usually many alternative ways, since a protein can be always found which binds specifically enough to the desired protein. Routine immunoaffinity chromatography utilizes the recognition of antigenic epitopes by antibodies. However, forces involved in protein-protein interactions as well the forces keeping the three-dimensional structures of proteins intact are complicated, and proteins are easily unfolded by various factors with unpredictable results. Because of this and because of the generally high association strength between proteins, the correct adjustment of binding forces between an immobilized protein and the protein to be purified as well as the release of bound proteins in biologically active form from affinity complexes are the main problem. Affinity systems involving interactions like enzyme-enzyme, subunit-oligomer, protein-antibody, protein-chaperone and the specific features involved in each case are presented as examples. This article also aims to sketch prospects for further development of the use of protein-protein interactions for the purification of proteins.     

Fcγ1 fragment of IgG1 as a powerful affinity tag in recombinant Fc-fusion proteins: immunological,biochemical and therapeutic properties

Affinity tags are vital tools for the production of high-throughput recombinant proteins. Several affinity tags, such as the hexahistidine tag, maltose-binding protein, streptavidin-binding peptide tag, calmodulin-binding peptide, c-Myc tag, glutathione S-transferase and FLAG tag, have been introduced for recombinant protein production. The fragment crystallizable (Fc) domain of the IgG1 antibody is one of the useful affinity tags that can facilitate detection, purification and localization of proteins and can improve the immunogenicity, modulatory effects, physicochemical and pharmaceutical properties of proteins. Fcγ recombinant forms a group of recombinant proteins called Fc-fusion proteins (FFPs). FFPs are widely used in drug discovery, drug delivery, vaccine design and experimental research on receptor–ligand interactions. These fusion proteins have become successful alternatives to monoclonal antibodies for drug developments. In this review, the physicochemical, biochemical, immunological, pharmaceutical and therapeutic properties of recombinant FFPs were discussed as a new generation of bioengineering strategies.     

A proteome chip approach reveals new DNA damage recognition activities in Escherichia coli

Despite the fact that many genomes have been decoded, proteome chips comprising individually purified proteins have been reported only for budding yeast, mainly because of the complexity and difficulty of high-throughput protein purification. To facilitate proteomics studies in prokaryotes, we have developed a high-throughput protein purification protocol that allowed us to purify 4,256 proteins encoded by the Escherichia coli K12 strain within 10 h. The purified proteins were then spotted onto glass slides to create E. coli proteome chips. We used these chips to develop assays for identifying proteins involved in the recognition of potential base damage in DNA. By using a group of DNA probes, each containing a mismatched base pair or an abasic site, we found a small number of proteins that could recognize each type of probe with high affinity and specificity. We further evaluated two of these proteins, YbaZ and YbcN, by biochemical analyses. The assembly of libraries containing DNA probes with specific modifications and the availability of E. coli proteome chips have the potential to reveal important interactions between proteins and nucleic acids that are time-consuming and difficult to detect using other techniques.     

Applications of affinity chromatography in proteomics

Affinity chromatography is a powerful protein separation method that is based on the specific interaction between immobilized ligands and target proteins. Peptides can also be separated effectively by affinity chromatography through the use of peptide-specific ligands. Both two-dimensional electrophoresis (2-DE)- and non-2-DE-based proteomic approaches benefit from the application of affinity chromatography. Before protein separation by 2-DE, affinity separation is used primarily for preconcentration and pretreatment of samples. Those applications entail the removal of one protein or a class of proteins that might interfere with 2-DE resolution, the concentration of low-abundance proteins to enable them to be visualized in the gel, and the classification of total protein into two or more groups for further separation by gel electrophoresis. Non-2-DE-based approaches have extensively employed affinity chromatography to reduce the complexity of protein and peptide mixtures. Prior to mass spectrometry (MS), preconcentration and capture of specific proteins or peptides to enhance sensitivity can be accomplished by using affinity adsorption. Affinity purification of protein complexes followed by identification of proteins by MS serves as a powerful tool for generating a map of protein-protein interactions and cellular locations of complexes. Affinity chromatography of peptide mixtures, coupled with mass spectrometry, provides a tool for the study of protein posttranslational modification (PTM) sites and quantitative proteomics. Quantitation of proteomes is possible via the use of isotope-coded affinity tags and isolation of proteolytic peptides by affinity chromatography. An emerging area of proteomics technology development is miniaturization. Affinity chromatography is becoming more widely used for exploring PTM and protein-protein interactions, especially with a view toward developing new general tag systems and strategies of chemical derivatization on peptides for affinity selection. More applications of affinity-based purification can be expected, including increasing the resolution in 2-DE, improving the sensitivity of MS quantification, and incorporating purification as part of multidimensional liquid chromatography experiments.     

Highly efficient purification of protein complexes from mammalian cells using a novel streptavidin-binding peptide and hexahistidine tandem tag system: application to Bruton's tyrosine kinase

Tandem affinity purification (TAP) is a generic approach for the purification of protein complexes. The key advantage of TAP is the engineering of dual affinity tags that, when attached to the protein of interest, allow purification of the target protein along with its binding partners through two consecutive purification steps. The tandem tag used in the original method consists of two IgG‐binding units of protein A from Staphylococcus aureus (ProtA) and the calmodulin‐binding peptide (CBP), and it allows for recovery of 20–30% of the bait protein in yeast. When applied to higher eukaryotes, however, this classical TAP tag suffers from low yields. To improve protein recovery in systems other than yeast, we describe herein the development of a three‐tag system comprised of CBP, streptavidin‐binding peptide (SBP) and hexa‐histidine. We illustrate the application of this approach for the purification of human Bruton's tyrosine kinase (Btk), which results in highly efficient binding and elution of bait protein in both purification steps (>50% recovery). Combined with mass spectrometry for protein identification, this TAP strategy facilitated the first nonbiased analysis of Btk interacting proteins. The high efficiency of the SBP‐His₆ purification allows for efficient recovery of protein complexes formed with a target protein of interest from a small amount of starting material, enhancing the ability to detect low abundance and transient interactions in eukaryotic cell systems.     

Identifying true protein complex constituents in interaction proteomics: The example of the DMXL2 protein complex

A typical high-sensitivity antibody affinity purification-mass spectrometry experiment easily identifies hundreds of protein interactors. However, most of these are non-valid resulting from multiple causes other than interaction with the bait protein. To discriminate true interactors from off-target recognition, we propose to differentially include an (peptide) antigen during the antibody incubation in the immuno-precipitation experiment. This contrasts the specific antibody-bait protein interactions, versus all other off-target protein interactions. To exemplify the power of the approach, we studied the DMXL2 interactome. From the initial six immuno-precipitations, we identified about 600 proteins. When filtering for interactors present in all anti-DMXL2 antibody immuno-precipitation experiments, absent in the bead controls, and competed off by the peptide antigen, this hit list is reduced to ten proteins, including known and novel interactors of DMXL2. Together, our approach enables the use of a wide range of available antibodies in large-scale protein interaction proteomics, while gaining specificity of the interactions.     

Effective knowledge‐based potentials

Empirical or knowledge‐based potentials have many applications in structural biology such as the prediction of protein structure, protein–protein, and protein–ligand interactions and in the evaluation of stability for mutant proteins, the assessment of errors in experimentally solved structures, and the design of new proteins. Here, we describe a simple procedure to derive and use pairwise distance‐dependent potentials that rely on the definition of effective atomic interactions, which attempt to capture interactions that are more likely to be physically relevant. Based on a difficult benchmark test composed of proteins with different secondary structure composition and representing many different folds, we show that the use of effective atomic interactions significantly improves the performance of potentials at discriminating between native and near‐native conformations. We also found that, in agreement with previous reports, the potentials derived from the observed effective atomic interactions in native protein structures contain a larger amount of mutual information. A detailed analysis of the effective energy functions shows that atom connectivity effects, which mostly arise when deriving the potential by the incorporation of those indirect atomic interactions occurring beyond the first atomic shell, are clearly filtered out. The shape of the energy functions for direct atomic interactions representing hydrogen bonding and disulfide and salt bridges formation is almost unaffected when effective interactions are taken into account. On the contrary, the shape of the energy functions for indirect atom interactions (i.e., those describing the interaction between two atoms bound to a direct interacting pair) is clearly different when effective interactions are considered. Effective energy functions for indirect interacting atom pairs are not influenced by the shape or the energy minimum observed for the corresponding direct interacting atom pair. Our results suggest that the dependency between the signals in different energy functions is a key aspect that need to be addressed when empirical energy functions are derived and used, and also highlight the importance of additivity assumptions in the use of potential energy functions.     

Engineered bromodomains to explore the acetylproteome

MS‐based analysis of the acetylproteome has highlighted a role for acetylation in a wide array of biological processes including gene regulation, metabolism, and cellular signaling. To date, anti‐acetyllysine antibodies have been used as the predominant affinity reagent for enrichment of acetyllysine‐containing peptides and proteins; however, these reagents suffer from high nonspecific binding and lot‐to‐lot variability. Bromodomains represent potential affinity reagents for acetylated proteins and peptides, given their natural role in recognition of acetylated sequence motifs in vivo. To evaluate their efficacy, we generated recombinant proteins representing all known yeast bromodomains. Bromodomain specificity for acetylated peptides was determined using degenerate peptide arrays, leading to the observation that different bromodomains display a wide array of binding specificities. Despite their relatively weak affinity, we demonstrate the ability of selected bromodomains to enrich acetylated peptides from a complex biological mixture prior to mass spectrometric analysis. Finally, we demonstrate a method for improving the utility of bromodomain enrichment for MS through engineering novel affinity reagents using combinatorial tandem bromodomain pairs.     

Exploring ligand recognition,selectivity and dynamics of TPR domains of chloroplast Toc64 and mitochondria Om64 from Arabidopsis thaliana

The study aims to gain insight into the mode of ligand recognition by tetratricopeptide repeat (TPR) domains of chloroplast translocon at the outer envelope of chloroplast (Toc64) and mitochondrial Om64, two paralogous proteins that mediate import of proteins into chloroplast and mitochondria, respectively. Chaperone proteins associate with precursor proteins in the cytosol to maintain them in a translocation competent conformation and are recognized by Toc64 and Om64 that are located on the outer membrane of the target organelle. Heat shock proteins (Hsp70) and Hsp90 are two chaperones, which are known to play import roles in protein import. The C‐termini of these chaperones are known to interact with the TPR domain of chloroplast Toc64 and mitochondrial Om64 in Arabidopsis thaliana (At). Using a molecular dynamics approach and binding energy calculations, we identify important residues involved in the interactions. Our findings suggest that the TPR domain from AtToc64 has higher affinity towards C‐terminal residues of Hsp70. The interaction occurs as the terminal helices move towards each other enclosing the cradle on interaction of AtHsp70 with the TPR domain. In contrast, the TPR domain from AtOm64 does not discriminate between the C‐termini of Hsp70 and Hsp90. These binding affinities are discussed with respect to our knowledge of protein targeting and specificity of protein import into endosymbiotic organelles in plant cells. Copyright © 2014 John Wiley & Sons, Ltd.     

Engineering a high-affinity scaffold for non-chromatographic protein purification via intein-mediated cleavage

While protein purification has long been dominated by standard chromatography, the relatively high cost and complex scale‐up have promoted the development of alternative non‐chromatographic separation methods. Here we developed a new non‐chromatographic affinity method for the purification of proteins expressed in Escherichia coli. The approach is to genetically fuse the target proteins with an affinity tag. Direct purification and recovery can be achieved using a thermo‐responsive elastin‐like protein (ELP) scaffold containing the capturing domain. Naturally occurring cohesin–dockerin pairs, which are high‐affinity protein complex responsible for the formation of cellulosome in anaerobic bacteria, were used as the model. By exploiting the highly specific interaction between the dockerin and cohesin domain from Clostridium thermocellum and the reversible aggregation property of ELP, highly purified and active dockerin‐tagged proteins, such as the endoglucanase CelA, chloramphenicol acetyl transferase (CAT), and enhanced green fluorescence protein (EGFP), were recovered directly from crude cell extracts in a single thermal precipitation step with yields achieving over 90%. Incorporation of a self‐cleaving intein domain enabled rapid removal of the affinity tag from the target proteins, which was subsequently removed by another cycle of thermal precipitation. This method offers great flexibility as a wide range of affinity tags and ligands can be used. Biotechnol. Bioeng. 2012; 109: 2829–2835. © 2012 Wiley Periodicals, Inc.     

Ligand binding by TPR domains

Tetratricopeptide repeat (TPR) domains bind specific peptide ligands and are thought to mediate protein-protein interactions in a variety of biological systems. Here we compare peptide ligand-binding by several different TPR domains. We present specific examples that demonstrate that TPR domains typically undergo little or no structural rearrangement upon ligand binding. Our data suggest that, contrary to a recent proposal, coupled folding and binding is not the common mechanism of ligand recognition by TPR domains.     

Prediction of protein-protein interactions using random decision forest framework

MOTIVATION: Protein interactions are of biological interest because they orchestrate a number of cellular processes such as metabolic pathways and immunological recognition. Domains are the building blocks of proteins; therefore, proteins are assumed to interact as a result of their interacting domains. Many domain-based models for protein interaction prediction have been developed, and preliminary results have demonstrated their feasibility. Most of the existing domain-based methods, however, consider only single-domain pairs (one domain from one protein) and assume independence between domain-domain interactions. RESULTS: In this paper, we introduce a domain-based random forest of decision trees to infer protein interactions. Our proposed method is capable of exploring all possible domain interactions and making predictions based on all the protein domains. Experimental results on Saccharomyces cerevisiae dataset demonstrate that our approach can predict protein-protein interactions with higher sensitivity (79.78%) and specificity (64.38%) compared with that of the maximum likelihood approach. Furthermore, our model can be used to infer interactions not only for single-domain pairs but also for multiple domain pairs.