Three camelid VHH domains in complex with porcine pancreatic alpha-amylase. Inhibition and versatility of binding topology

Antigen Binding and Solubility Effects upon the Veneering of a Camel VHH in Framework-2 to Mimic a VH

Heavy chain only antibodies of camelids bind their antigens with a single domain, the VHH, which acquired adaptations relative to classical VHs to function in the absence of a VL partner. Additional CDR loop conformations, outside the canonical loop structures of VHs, broaden the repertoire of the antigen-binding site. The combined effects of part of the CDR3 that folds over the "former" VL binding site and framework-2 mutations to more hydrophilic amino acids, enhance the solubility of VHH domains and prevent VL pairing. cAbAn33, a VHH domain specific for the carbohydrate moiety of the variant surface glycoprotein of trypanosomes, has a short CDR3 loop that does not cover the former VL binding site as well as a VH-specific Trp47 instead of the VHH-specific Gly47. Resurfacing its framework-2 region (mutations Tyr37Val, Glu44Gly and Arg45Leu) to mimic that of a human VH restores the VL binding capacity. In solution, the humanised VHH behaves as a soluble, monomeric entity, albeit with reduced thermodynamic stability and affinity for its antigen. Comparison of the crystal structures of cAbAn33 and its humanised derivative reveals steric hindrance exerted by VHH-specific residues Tyr37 and Arg45 that prevent the VL domain pairing, whereas Glu44 and Arg45 are key elements to avoid insolubility of the domain.

Mutational Analysis of Target Enzyme Recognition of the β-Trefoil Fold Barley α-Amylase/Subtilisin Inhibitor

The barley alpha-amylase/subtilisin inhibitor (BASI) inhibits alpha-amylase 2 (AMY2) with subnanomolar affinity. The contribution of selected side chains of BASI to this high affinity is discerned in this study, and binding to other targets is investigated. Seven BASI residues along the AMY2-BASI interface and four residues in the putative protease-binding loop on the opposite side of the inhibitor were mutated. A total of 15 variants were compared with the wild type by monitoring the alpha-amylase and protease inhibitory activities using Blue Starch and azoalbumin, respectively, and the kinetics of binding to target enzymes by surface plasmon resonance. Generally, the mutations had little effect on k(on), whereas the k(off) values were increased up to 67-fold. The effects on the inhibitory activity, however, were far more pronounced, and the K(i) values of some mutants on the AMY2-binding side increased 2-3 orders of magnitude, whereas mutations on the other side of the inhibitor had virtually no effect. The mutants K140L, D150N, and E168T lost inhibitory activity, revealing the pivotal role of charge interactions for BASI activity on AMY2. A fully hydrated Ca(2+) at the AMY2-BASI interface mediates contacts to the catalytic residues of AMY2. Mutations involving residues contacting the solvent ligands of this Ca(2+) had weaker affinity for AMY2 and reduced sensitivity to the Ca(2+) modulation of the affinity. These results suggest that the Ca(2+) and its solvation sphere are integral components of the AMY2-BASI complex, thus illuminating a novel mode of inhibition and a novel role for calcium in relation to glycoside hydrolases.

Prokaryotic expression of antibodies and affibodies

Recent advances have been made in the development of systems for the display and expression of recombinant antibodies and affibodies in filamentous phages, Escherichia coli and other prokaryotic cells. Emphasis has been placed on improving phage and phagemid vectors, alternative systems for expression in different cellular compartments (e.g. the outer membrane, periplasm, cytoplasm and extracellular secretion) and novel multimerization systems for generating bivalent or multivalent binding molecules.

Single Domain Antibodies Derived from Dromedary Lymph Node and Peripheral Blood Lymphocytes Sensing Conformational Variants of Prostate-specific Antigen

The importance of the lymphocyte source to generate hybridomas or to construct antibody gene libraries from which to identify potent monoclonal antibodies is understudied. However, the few comparative studies that exist seem to favor the lymph node tissue as a B-cell source. Here the peripheral blood and lymph node lymphocytes of a dromedary immunized with prostate-specific antigen (PSA) have been employed to clone two independent gene banks of the variable domains of heavy-chain antibodies (i.e. the VHHs). Several PSA-specific VHHs were retrieved after panning of these phage-displayed VHH libraries. Some of them were derived from the same B-cell lineage, possibly reflecting the restricted primary repertoire of heavy-chain antibodies. Other binders originated from different B-cell lineages and apparently converged toward a striking homologous amino acid sequence motif in their CDR3. This illustrates the strong somatic hypermutation and stringent antigen-driven selection ongoing in these animals. Although the various antigen binders exhibit a broad range of kinetic rate constants for their interaction with the PSA, leading to equilibrium constants from 70 pM to 100 nM, no significant difference existed between the binders from the two B-cell sources. The VHHs of both libraries were categorized in three groups based on nonoverlapping epitopes. Some of these VHHs could inhibit and others could enhance the proteolytic activity of the antigen. Remarkably, VHHs seem to sense or induce conformational changes on different PSA isoforms, a feature that might be exploited to study the PSA conformational flexibility and to discriminate the stages of prostate cancer.

Crystal structure of a shark single-domain antibody V region in complex with lysozyme

Cartilaginous fish are the phylogenetically oldest living organisms known to possess components of the vertebrate adaptive immune system. Key to their immune response are heavy-chain, homodimeric immunoglobulins called new antigen receptors (IgNARs), in which the variable (V) domains recognize antigens with only a single immunoglobulin domain, akin to camelid heavy-chain V domains. The 1.45 angstrom resolution crystal structure of the type I IgNAR V domain in complex with hen egg-white lysozyme (HEL) reveals a minimal antigen-binding domain that contains only two of the three conventional complementarity-determining regions but still binds HEL with nanomolar affinity by means of a binding interface comparable in size to conventional antibodies.

Domain antibodies: proteins for therapy

Occurring naturally in "heavy chain" immunoglobulins from camels, and now produced in fully human form, domain antibodies (dAbs) are the smallest known antigen-binding fragments of antibodies, ranging from 11 kDa to 15 kDa. dAbs are the robust variable regions of the heavy and light chains of immunoglobulins (VH and VL respectively). They are highly expressed in microbial cell culture, show favourable biophysical properties including solubility and temperature stability, and are well suited to selection and affinity maturation by in vitro selection systems such as phage display. dAbs are bioactive as monomers and, owing to their small size and inherent stability, can be formatted into larger molecules to create drugs with prolonged serum half-lives or other pharmacological activities.

Domain swapping of a llama VHH domain builds a crystal-wide beta-sheet structure

Among mammals, camelids have a unique immunological system since they produce functional antibodies devoid of light chains and CH1 domains. To bind antigens, whether they are proteins or haptens, camelids use the single domain VH from their heavy chain (VHH). We report here on such a llama VHH domain (VHH-R9) which was raised against a hapten, the RR6 red dye. This VHH possesses the shortest complementarity determining region 3 (CDR3) among all the known VHH sequences and nevertheless binds RR6 efficiently with a K(d) value of 83 nM. However, the crystal structure of VHH-R9 exhibits a striking feature: its CDR3 and its last beta-strand (beta9) do not follow the immunoglobulin VH domain fold, but instead extend out of the VHH molecular boundary and associate with a symmetry-related molecule. The two monomers thus form a domain-swapped dimer which establishes further contacts with symmetry-related molecules and build a crystal-wide beta-sheet structure. The driving force of the dimer formation is probably the strain induced by the short CDR3 together with the cleavage of the first seven residues.

Crystal Structure of HEL4, a Soluble, Refoldable Human VH Single Domain with a Germ-line Scaffold

The antigen binding site of antibodies usually comprises associated heavy (V(H)) and light (V(L)) chain variable domains, but in camels and llamas, the binding site frequently comprises the heavy chain variable domain only (referred to as V(HH)). In contrast to reported human V(H) domains, V(HH) domains are well expressed from bacteria and yeast, are readily purified in soluble form and refold reversibly after heat-denaturation. These desirable properties have been attributed to highly conserved substitutions of the hydrophobic residues of V(H) domains, which normally interact with complementary V(L) domains. Here, we describe the discovery and characterisation of an isolated human V(H) domain (HEL4) with properties similar to those of V(HH) domains. HEL4 is highly soluble at concentrations of > or =3 mM, essentially monomeric and resistant to aggregation upon thermodenaturation at concentrations as high as 56 microM. However, in contrast to V(HH) domains, the hydrophobic framework residues of the V(H):V(L) interface are maintained and the only sequence changes from the corresponding human germ-line segment (V3-23/DP-47) are located in the loops comprising the complementarity determining regions (CDRs). The crystallographic structure of HEL4 reveals an unusual feature; the side-chain of a framework residue (Trp47) is flipped into a cavity formed by Gly35 of CDR1, thereby increasing the hydrophilicity of the V(H):V(L) interface. To evaluate the specific contribution of Gly35 to domain properties, Gly35 was introduced into a V(H) domain with poor solution properties. This greatly enhanced the recovery of the mutant from a gel filtration matrix, but had little effect on its ability to refold reversibly after heat denaturation. Our results confirm the importance of a hydrophilic V(H):V(L) interface for purification of isolated V(H) domains, and constitute a step towards the design of isolated human V(H) domains with practical properties for immunotherapy.

Proteinaceous α-amylase inhibitors

Proteins that inhibit alpha-amylases have been isolated from plants and microorganisms. These inhibitors can have natural roles in the control of endogenous alpha-amylase activity or in defence against pathogens and pests; certain inhibitors are reported to be antinutritional factors. The alpha-amylase inhibitors belong to seven different protein structural families, most of which also contain evolutionary related proteins without inhibitory activity. Two families include bifunctional inhibitors acting both on alpha-amylases and proteases. High-resolution structures are available of target alpha-amylases in complex with inhibitors from five families. These structures indicate major diversity but also some similarity in the structural basis of alpha-amylase inhibition. Mutational analysis of the mechanism of inhibition was performed in a few cases and various protein engineering and biotechnological approaches have been outlined for exploitation of the inhibitory function.

Efficient targeting of conserved cryptic epitopes of infectious agents by single domain antibodies. African trypanosomes as paradigm

Antigen variation is a successful defense system adopted by several infectious agents to evade the host immune response. The principle of this defense strategy in the African trypanosome paradigm involves a dense packing of variant surface glycoproteins (VSG) exposing only highly variable and immuno-dominant epitopes to the immune system, whereas conserved epitopes become inaccessible for large molecules. Reducing the size of binders that target the conserved, less-immunogenic, cryptic VSG epitopes forms an obvious solution to combat these parasites. This goal was achieved by introducing dromedary Heavy-chain antibodies. We found that only these unique antibodies recognize epitopes common to multiple VSG classes. After phage display of their antigen-binding repertoire, we isolated a single domain antibody fragment with high specificity for the conserved Asn-linked carbohydrate of VSG. In sharp contrast to labeled concanavalin-A that stains only the flagellar pocket where carbohydrates are accessible because of less dense VSG packing, the single domain binder stains the entire surface of viable parasites, irrespective of the VSG type expressed. This corroborates the idea that small antibody fragments, but not larger lectins or conventional antibody fragments, are able to penetrate the dense VSG coat to target their epitope. The diagnostic potential of this fluorescently labeled binder was proven by the direct, selective, and sensitive detection of parasites in blood smears. The employment of this binder as a molecular recognition unit in immuno-toxins designed for trypanosomosis therapy becomes feasible as well. This was illustrated by the specific trypanolysis induced by an antibody::beta-lactamase fusion activating a prodrug.

Crystal Structure of a Human VH: Requirements for Maintaining a Monomeric Fragment†,‡

The variable domain of dromedary immunoglobulins comprises only the heavy chain and is missing the light-chain variable domain. This single domain is sufficient for antigen recognition and binding-half that required by other mammals. Human antibody-VHs have previously been camelized to be soluble stable fragments that retain antigen binding. Such engineered VHH are of interest in drug development, since they are nonimmunogenic, and in other biotechnology applications. We present the structure of a camelized human antibody fragment (cVH), which is a competitive and reversible inhibitor of the NS3 serine protease of the hepatitis C virus (HCV). In solution, this cVH undergoes a concentration-dependent monomer-dimer equilibrium. The structure confirms the minimum mutational requirements of the VL-binding face. The fragment also suggests a means by which the observed dimerization occurs, highlighting the importance of the composition of the CDR3 in maintaining a truly camelized VH.

Contributions of CDR3 to V H H domain stability and the design of monobody scaffolds for naive antibody libraries

Camelids produce functional antibodies devoid of light chains. Autonomous heavy chain variable (V(H)H) domains in these molecules have adapted to the absence of the light chain in the following ways: bulky hydrophobic residues replace small aliphatic residues in the former light chain interface, and residues from the third complementarity-determining region (CDR3) pack against the framework and stabilize the global V(H)H domain fold. To determine the specific roles of CDR3 residues in framework stabilization, we used nai;ve phage-displayed libraries, combinatorial alanine-scanning mutagenesis and biophysical characterization of purified proteins. Our results indicate that in the most stable scaffolds, the structural residues in CDR3 reside near the boundaries of the loop and pack against the framework to form a small hydrophobic core. These results allow us to differentiate between structural CDR3 residues that should remain fixed, and CDR3 residues that are tolerant to substitution and can therefore be varied to generate functional diversity within phage-displayed libraries. These methods and insights can be applied to the rapid design of heavy chain scaffolds for the identification of novel ligands using synthetic, antibody-phage libraries. In addition, they shed light on the relationships between CDR3 sequence diversity and the structural stability of the V(H)H domain fold.

Isolation and characterization of an IgNAR variable domain specific for the human mitochondrial translocase receptor Tom70

The new antigen receptor (IgNAR) from sharks is a disulphide bonded dimer of two protein chains, each containing one variable and five constant domains, and functions as an antibody. In order to assess the antigen-binding capabilities of isolated IgNAR variable domains (VNAR), we have constructed an in vitro library incorporating synthetic CDR3 regions of 15-18 residues in length. Screening of this library against the 60 kDa cytosolic domain of the 70 kDa outer membrane translocase receptor from human mitochondria (Tom70) resulted in one dominant antigen-specific clone (VNAR 12F-11) after four rounds of in vitro selection. VNAR 12F-11 was expressed into the Escherichia coli periplasm and purified by anti-FLAG affinity chromatography at yields of 3 mg x L(-1). Purified protein eluted from gel filtration columns as a single monomeric protein and CD spectrum analysis indicated correct folding into the expected beta-sheet conformation. Specific binding to Tom70 was demonstrated by ELISA and BIAcore (Kd = 2.2 +/- 0.31 x 10(-9) m-1) indicating that these VNAR domains can be efficiently displayed as bacteriophage libraries, and selected against target antigens with an affinity and stability equivalent to that obtained for other single domain antibodies. As an initial step in producing 'intrabody' variants of 12F-11, the impact of modifying or removing the conserved immunoglobulin intradomain disulphide bond was assessed. High affinity binding was only retained in the wild-type protein, which combined with our inability to affinity mature 12F-11, suggests that this particular VNAR is critically dependent upon precise CDR loop conformations for its binding affinity.

Assessment of blind predictions of protein-protein interactions: current status of docking methods

The current status of docking procedures for predicting protein-protein interactions starting from their three-dimensional structure is assessed from a first major evaluation of blind predictions. This evaluation was performed as part of a communitywide experiment on Critical Assessment of PRedicted Interactions (CAPRI). Seven newly determined structures of protein-protein complexes were available as targets for this experiment. These were the complexes between a kinase and its protein substrate, between a T-cell receptor beta-chain and a superantigen, and five antigen-antibody complexes. For each target, the predictors were given the experimental structures of the free components, or of one free and one bound component in a random orientation. The structure of the complex was revealed only at the time of the evaluation. A total of 465 predictions submitted by 19 groups were evaluated. These groups used a wide range of algorithms and scoring functions, some of which were completely novel. The quality of the predicted interactions was evaluated by comparing residue-residue contacts and interface residues to those in the X-ray structures and by analyzing the fit of the ligand molecules (the smaller of the two proteins in the complex) or of interface residues only, in the predicted versus target complexes. A total of 14 groups produced predictions, ranking from acceptable to highly accurate for five of the seven targets. The use of available biochemical and biological information, and in one instance structural information, played a key role in achieving this result. It was essential for identifying the native binding modes for the five correctly predicted targets, including the kinase-substrate complex where the enzyme changes conformation on association. But it was also the cause for missing the correct solution for the two remaining unpredicted targets, which involve unexpected antigen-antibody binding modes. Overall, this analysis reveals genuine progress in docking procedures but also illustrates the remaining serious limitations and points out the need for better scoring functions and more effective ways for handling conformational flexibility.

A soft docking algorithm for predicting the structure of antibody-antigen complexes

An efficient soft docking algorithm is described for predicting the mode of binding between an antibody and its antigen based on the three-dimensional structures of the molecules. The basic tools are the "simplified protein" model and the docking algorithm of Wodak and Janin. The side-chain flexibility of Arg, Lys, Asp, Glu, and Met residues on the protein surface is taken into account. A combined filtering technique is used to select candidate binding modes. After energy minimization, we calculate a scoring function, which includes electrostatic and desolvation energy terms. This procedure was applied to targets 04, 05, and 06 of CAPRI, which are complexes of three different camelid antibody VHH variable domains with pig alpha-amylase. For target 06, two native-like structures with a root-mean-square deviation < 4.0 A relative to the X-ray structure were found within the five top ranking structures. For targets 04 and 05, our procedure produced models where more than half of the antigen residues forming the epitope were correctly predicted, albeit with a wrong VHH domain orientation. Thus, our soft docking algorithm is a promising tool for predicting antibody-antigen recognition.

Evaluation of the 3D-Dock protein docking suite in rounds 1 and 2 of the CAPRI blind trial

The 3D-Dock suite of programs has been used to make predictions for the seven targets in rounds 1 and 2 of the CAPRI method evaluation exercise. Some correct contacts were obtained in at least one prediction for four of seven targets. Target 06 was predicted very well, with an RMSD of the ligand after superimposition of the receptor of only 0.77 A. We investigate the performance of the various stages of the method, with the aim of finding where improvements need to be made, and in particular whether the manual interventions that were made were essential, and whether results of the level of accuracy obtained for target 06 may be expected with confidence.

Successful discrimination of protein interactions

We present results from the prediction of protein complexes associated with the first Critical Assessment of PRediction of Interactions (CAPRI) experiment. Our algorithm, SmoothDock, comprises four steps: (1) we perform rigid body docking using the program DOT, keeping the top 20,000 structures as ranked by surface complementarity; (2) we rerank these structures according to a free energy estimate that includes both desolvation and electrostatics and retain the top 2000 complexes; (3) we cluster the filtered complexes using a pairwise root-mean-square deviation (RMSD) criterion; (4) the 25 largest clusters are subject to a smooth docking discrimination algorithm where van der Waals forces are taken into account. We predicted targets 1, 6, and 7 with RMSDs of 9.5, 2.4, and 2.6 A, respectively. More importantly, from the perspective of biological applications, our approach consistently ranked the correct model first (i.e., with highest confidence). For target 5 we identified the binding region but not the correct orientation. Although we were able to find reasonable clusters for all targets, low-affinity complexes (K(d) < nM) were harder to discriminate. For four of seven targets, the top models predicted by our automated procedure were among the best communitywide predictions.

Guided docking: first step to locate potential binding sites

The long-range electrostatic forces of the targets in round 2 of the Critical Assessment of PRediction of Interactions (CAPRI) experiment were examined and a simple guided docking method, based on these forces, was applied. The method described consists of calculating an initial rigid body trajectory and an optional final, fully flexible refinement stage. Although only limited success was found in predicting the final complexes, some interesting information was discovered. In particular, the long-range forces seem to give some insight into the unusual binding mode of target 4 while raising some questions about target 7, which warrant further investigation.

Finding needles in haystacks: Reranking DOT results by using shape complementarity, cluster analysis, and biological information

We present an evaluation of our results for the first Critical Assessment of PRedicted Interaction (CAPRI). The methods used include the molecular docking program DOT, shape analysis tool FADE, cluster analysis and filtering based on biological data. Good results were obtained for most of the seven CAPRI targets, and for two systems, submissions having the highest number of correctly predicted contacts were produced.

CAPRI: a Critical Assessment of PRedicted Interactions

CAPRI is a communitywide experiment to assess the capacity of protein-docking methods to predict protein-protein interactions. Nineteen groups participated in rounds 1 and 2 of CAPRI and submitted blind structure predictions for seven protein-protein complexes based on the known structure of the component proteins. The predictions were compared to the unpublished X-ray structures of the complexes. We describe here the motivations for launching CAPRI, the rules that we applied to select targets and run the experiment, and some conclusions that can already be drawn. The results stress the need for new scoring functions and for methods handling the conformation changes that were observed in some of the target systems. CAPRI has already been a powerful drive for the community of computational biologists who development docking algorithms. We hope that this issue of Proteins will also be of interest to the community of structural biologists, which we call upon to provide new targets for future rounds of CAPRI, and to all molecular biologists who view protein-protein recognition as an essential process.

ICM-DISCO docking by global energy optimization with fully flexible side-chains

The ICM-DISCO (Docking and Interface Side-Chain Optimization) protein-protein-docking method is a direct stochastic global energy optimization from multiple starting positions of the ligand. The first step is performed by docking of a rigid all-atom ligand molecule to a set of soft receptor potentials precalculated on a 0.5 A grid from realistic solvent-corrected force-field energies. This step finds the correct solution as the lowest energy conformation in almost 100% of the cases in which interfaces do not change on binding. The second step is needed to deal with the induced changes and includes the global optimization of the interface side-chains of up to 400 best solutions. The CAPRI predictions were performed fully automatically with this method. Available experimental information was included as a filtering step to favor expected docking surfaces. In three of the seven proposed targets, the ICM-DISCO method found a good solution (>50% of correct contacts) within the five submitted models. The procedure is global and fully automated. We demonstrate that the algorithm handles the induced changes of surface side-chains but is less successful if the backbone undergoes large-scale rearrangements.

Modeling protein complexes with BiGGER

This article describes the method and results of our participation in the Critical Assessment of PRediction of Interactions (CAPRI) experiment, using the protein docking program BiGGER (Bimolecular complex Generation with Global Evaluation and Ranking) (Palma et al., Proteins 2000;39:372-384). Of five target complexes (CAPRI targets 2, 4, 5, 6, and 7), only one was successfully predicted (target 6), but BiGGER generated reasonable models for targets 4, 5, and 7, which could have been identified if additional biochemical information had been available.

Evaluation of protein docking predictions using Hex 3.1 in CAPRI rounds 1 and 2

This article describes and reviews our efforts using Hex 3.1 to predict the docking modes of the seven target protein-protein complexes presented in the CAPRI (Critical Assessment of Predicted Interactions) blind docking trial. For each target, the structure of at least one of the docking partners was given in its unbound form, and several of the targets involved large multimeric structures (e.g., Lactobacillus HPr kinase, hemagglutinin, bovine rotavirus VP6). Here we describe several enhancements to our original spherical polar Fourier docking correlation algorithm. For example, a novel surface sphere smothering algorithm is introduced to generate multiple local coordinate systems around the surface of a large receptor molecule, which may be used to define a small number of initial ligand-docking orientations distributed over the receptor surface. High-resolution spherical polar docking correlations are performed over the resulting receptor surface patches, and candidate docking solutions are refined by using a novel soft molecular mechanics energy minimization procedure. Overall, this approach identified two good solutions at rank 5 or less for two of the seven CAPRI complexes. Subsequent analysis of our results shows that Hex 3.1 is able to place good solutions within a list of <or=20 for four of the seven targets. This finding shows that useful in silico protein-protein docking predictions can now be made with increasing confidence, even for very large macromolecular complexes.

Prediction of the unknown: inspiring experience with the CAPRI experiment

We submitted predictions for all seven targets in the CAPRI experiment. For four targets, our submitted models included acceptable, medium accuracy predictions of the structures of the complexes, and for a fifth target we identified the location of the binding site of one of the molecules. We used a weighted-geometric docking algorithm in which contacts involving specified parts of the surfaces of either one or both molecules were up-weighted or down-weighted. The weights were based on available structural and biochemical data or on sequence analyses. The weighted-geometric docking proved very useful for five targets, improving the complementarity scores and the ranks of the nearly correct solutions, as well as their statistical significance. In addition, the weighted-geometric docking promoted formation of clusters of similar solutions, which include more accurate predictions.

Genome-wide studies of protein-protein interaction

Recent large-scale studies of protein complexes in yeast have demonstrated that the wide majority of proteins exist in the cell as parts of multicomponent assemblies, mostly novel and of unknown function. The structural and functional analysis of these complexes should be a priority for structural biologists in coming years. In silico methods such as docking simulations, which may contribute to this analysis, are being tested in the CAPRI community-wide experiment, which assesses blind predictions of the structure of protein-protein complexes.

Recognition of the intrinsically flexible addiction antidote MazE by a dromedary single domain antibody fragment. Structure, thermodynamics of binding, stability, and influence on interactions with DNA

The Escherichia coli mazEF operon defines a chromosomal addiction module that programs cell death under various stress conditions. It encodes the toxic and long-lived MazF and the labile antidote MazE. The denaturation of MazE is a two-state reversible dimer-monomer transition. At lower concentrations the denatured state is significantly populated. This leads to a new aspect of the regulation of MazE concentration, which may decide about the life and death of the cell. Interactions of MazE with a dromedary antibody domain, cAbMaz1 (previously used as a crystallization aid), as well as with promoter DNA were studied using microcalorimetric and spectroscopic techniques. Unique features of cAbMaz1 enable a specific enthalpy-driven recognition of MazE and, thus, a significant stabilization of its dimeric native conformation. The MazE dimer and the MazE dimer-cAbMaz1 complex show very similar binding characteristics with promoter DNA, i.e. three binding sites with apparent affinities in micromolar range and highly exothermic binding accompanied by large negative entropy contributions. A working model for the MazE-DNA assembly is proposed on the basis of the structural and binding data. Both binding and stability studies lead to a picture of MazE solution structure that is significantly more unfolded than the structure observed in a crystal of the MazE-cAbMaz1 complex.

Monoclonal antibodies for the structural analysis of the Na+/H+ antiporter NhaA from Escherichia coli

Since their advent some 25 years ago, monoclonal antibodies have developed into powerful tools for structural and functional analysis of their cognate antigens. Together with the respective antigen binding fragments, antibodies offer exclusive capacities in detection, characterization, purification and functional assays for every given ligand. Antibody-fragment mediated crystallization represents a major advance in determining the three-dimensional structure of membrane-bound protein complexes. In this review, we focus on the methods used to generate monoclonal antibodies against the NhaA antiporter from Escherichia coli as a paradigm of secondary transporters. We describe examples on how antibodies are helpful in understanding structure and function relationships for this important class of integral membrane proteins. The generated conformation-specific antibody fragments are highly valuable reagents for co-crystallization attempts and structure determination of the antiporter.

Emergence and evolution of functional heavy-chain antibodies in Camelidae

Antibodies of jawed-vertebrates are composed of paired heavy (H) and light (L) polypeptide chains. Surprisingly, the sera of camelids, nurse shark and wobbegong shark, and possibly ratfish contain antibodies that lack L-chains. In camelids, these Heavy-chain antibodies (HCAbs) are gamma-isotypes, and are functional in antigen binding. In this review we focus on the dedicated immunoglobulin (Ig) genes that encode the HCAb in Camelidae (camels, dromedaries and llamas), about their origin, and how these camel immunoglobulins evolved and acquire a large and diverse repertoire of antigen binding sites in absence of the H-L combinatorial diversity.

The production of antibody fragments and antibody fusion proteins by yeasts and filamentous fungi

In this review we will focus on the current status and views concerning the production of antibody fragments and antibody fusion proteins by yeasts and filamentous fungi. We will focus on single-chain antibody fragment production (scFv and VHH) by these lower eukaryotes and the possible applications of these proteins. Also the coupling of fragments to relevant enzymes or other components will be discussed. As an example of the fusion protein strategy, the 'magic bullet' approach for industrial applications, will be highlighted.