The rational construction of an antibody against cystatin: lessons from the crystal structure of an artificial Fab fragment

Next-generation antibodies for post-translational modifications

Despite increasing demands for antibodies to post-translational modifications (PTMs), fundamental difficulties in molecular recognition of PTMs hinder the generation of highly functional anti-PTM antibodies using conventional methods. Recently, advanced approaches in protein engineering and design that have been established for biologics development were applied to successfully generating highly functional anti-PTM antibodies. Furthermore, structural analyses of anti-PTM antibodies revealed unprecedented binding modes that substantially increased the antigen-binding surface. These features deepen the understanding of mechanisms underlying specific recognition of PTMs, which may lead to more effective approaches for generating anti-PTM antibodies with exquisite specificity and high affinity.

Novel serial positive enrichment technology enables clinical multiparameter cell sorting

A general obstacle for clinical cell preparations is limited purity, which causes variability in the quality and potency of cell products and might be responsible for negative side effects due to unwanted contaminants. Highly pure populations can be obtained best using positive selection techniques. However, in many cases target cell populations need to be segregated from other cells by combinations of multiple markers, which is still difficult to achieve--especially for clinical cell products. Therefore, we have generated low-affinity antibody-derived Fab-fragments, which stain like parental antibodies when multimerized via Strep-tag and Strep-Tactin, but can subsequently be removed entirely from the target cell population. Such reagents can be generated for virtually any antigen and can be used for sequential positive enrichment steps via paramagnetic beads. First protocols for multiparameter enrichment of two clinically relevant cell populations, CD4(high)/CD25(high)/CD45RA(high) 'regulatory T cells' and CD8(high)/CD62L(high)/CD45RA(neg) 'central memory T cells', have been established to determine quality and efficacy parameters of this novel technology, which should have broad applicability for clinical cell sorting as well as basic research.

Modeling the binding sites of anti-hen egg white lysozyme antibodies HyHEL-8 and HyHEL-26: an insight into the molecular basis of antibody cross-reactivity and specificity

Three antibodies, HyHEL-8 (HH8), HyHEL-10 (HH10), and HyHEL-26 (HH26) are specific for the same epitope on hen egg white lysozyme (HEL), and share >90% sequence homology. Their affinities vary by several orders of magnitude, and among the three antibodies, HH8 is the most cross-reactive with kinetics of binding that are relatively invariable compared to HH26, which is highly specific and has quite variable kinetics. To investigate structural correlates of these functional variations, the Fv regions of HH8 and HH26 were homology-modeled using the x-ray structure of the well-characterized HH10-HEL complex as template. The binding site of HH26 is most charged, least hydrophobic, and has the greatest number of intramolecular salt bridges, whereas that of HH8 is the least charged, most hydrophobic and has the fewest intramolecular salt bridges. The modeled HH26-HEL structure predicts the recently determined x-ray structure of HH26, (Li et al., 2003, Nat. Struct. Biol. 10:482-488) with a root-mean-square deviation of 1.03 A. It is likely that the binding site of HH26 is rendered rigid by a network of intramolecular salt bridges whereas that of HH8 is flexible due to their absence. HH26 also has the most intermolecular contacts with the antigen whereas HH8 has the least. HH10 has these properties intermediate to HH8 and HH26. The structurally rigid binding site with numerous specific contacts bestows specificity on HH26 whereas the flexible binding site with correspondingly fewer contacts enables HH8 to be cross-reactive. Results suggest that affinity maturation may select for high affinity antibodies with either "lock-and-key" preconfigured binding sites, or "preconfigured flexibility" by modulating combining site flexibility.

Structural modeling extends QSAR analysis of antibody-lysozyme interactions to 3D-QSAR

This work shows that quantitative multivariate modeling is an emerging possibility for unraveling protein-protein interactions using a combination of designed mutations with sequence and structure information. Using this approach, it is possible to stereochemically determine which residue properties contribute most to the interaction. This is illustrated by results from modeling of the interaction of the wild-type and 17 single and double mutants of a camel antibody specific for lysozyme. Linear multivariate models describing association and dissociation rates as well as affinity were developed. Sequence information in the form of amino acid property scales was combined with 3D structure information (obtained using molecular mechanics calculations) in the form of coordinates of the alpha-carbons and the center of the side chains. The results show that in addition to the amino acid properties of the mutated residues 101 and 105, the dissociation rate is controlled by the side-chain coordinate of residue 105, whereas the association is determined by the coordinates of residues 99, 100, 105 (side chain), 111, and 112. The great difference between the models for association and dissociation rates illustrates that the event of molecular recognition and the property of binding stability rely on different physical processes.

Computational immunology: The coming of age

The explosive growth in biotechnology combined with major advances in information technology has the potential to radically transform immunology in the postgenomics era. Not only do we now have ready access to vast quantities of existing data, but new data with relevance to immunology are being accumulated at an exponential rate. Resources for computational immunology include biological databases and methods for data extraction, comparison, analysis and interpretation. Publicly accessible biological databases of relevance to immunologists number in the hundreds and are growing daily. The ability to efficiently extract and analyse information from these databases is vital for efficient immunology research. Most importantly, a new generation of computational immunology tools enables modelling of peptide transport by the transporter associated with antigen processing (TAP), modelling of antibody binding sites, identification of allergenic motifs and modelling of T-cell receptor serial triggering.

Man-made enzymes--from design to in vitro compartmentalisation

In the past few years, a variety of methods have been developed to allow the in vitro evolution of a range of biomolecules including novel and improved biocatalysts (enzymes). These methods for directed evolution differ in the size and characteristics of the gene repertoire, in the way of linking genotype and phenotype, and in the selection approach. Selections for enzymes can be performed indirectly (for binding of a transition-state analogue or mechanism-based inhibitor), and directly using either intramolecular single-turnover selections (e.g. with SELEX) or the normal (intermolecular, multiple turnover) mode of enzymatic reactions. Each of these methods has distinct strengths and weaknesses. The best system (or combinations of systems) to use depends on the specific target for evolution and the evolutionary distance that needs to be crossed.

Engineered protein scaffolds for molecular recognition

The use of so-called protein scaffolds has recently attracted considerable attention in biochemistry in the context of generating novel types of ligand receptors for various applications in research and medicine. This development started with the notion that immunoglobulins owe their function to the composition of a conserved framework region and a spatially well-defined antigen-binding site made of peptide segments that are hypervariable both in sequence and in conformation. After the application of antibody engineering methods along with library techniques had resulted in first successes in the selection of functional antibody fragments, several laboratories began to exploit other types of protein architectures for the construction of practically useful binding proteins. Properties like small size of the receptor protein, stability and ease of production were the focus of this work. Hence, among others, single domains of antibodies or of the immunoglobulin superfamily, protease inhibitors, helix-bundle proteins, disulphide-knotted peptides and lipocalins were investigated. Recently, the scaffold concept has even been adopted for the construction of enzymes. However, it appears that not all kinds of polypeptide fold which may appear attractive for the engineering of loop regions at a first glance will indeed permit the construction of independent ligand-binding sites with high affinities and specificities. This review will therefore concentrate on the critical description of the structural properties of experimentally tested protein scaffolds and of the novel functions that have been achieved on their basis, rather than on the methodology of how to best select a particular mutant with a certain activity. An overview will be provided about the current approaches, and some emerging trends will be identified. (c) 2000 John Wiley & Sons, Ltd. Abbreviations used: ABD albumin-binding domain of protein G APPI Alzheimer's amyloid beta-protein precursor inhibitor BBP bilin-binding protein BPTI bovine (or basic) pancreatic trypsin inhibitor BSA bovine serum albumin CBD cellulose-binding domain of cellobiohydrolase I CD circular dichroism Cdk2 human cyclin-dependent kinase 2 CDR complementarity-determining region CTLA-4 human cytotoxic T-lymphocyte associated protein-4 FN3 fibronectin type III domain GSH glutathione GST glutathione S-transferase hIL-6 human interleukin-6 HSA human serum albumin IC(50) half-maximal inhibitory concentration Ig immunoglobulin IMAC immobilized metal affinity chromatography K(D) equilibrium constant of dissociation K(i) equilibrium dissociation constant of enzyme inhibitor LACI-D1 human lipoprotein-associated coagulation inhibitor pIII gene III minor coat protein from filamentous bacteriophage f1 PCR polymerase-chain reaction PDB Protein Data Bank PSTI human pancreatic secretory trypsin inhibitor RBP retinol-binding protein SPR surface plasmon resonance TrxA E. coli thioredoxin

The third-dimensional structure of the complex between an Fv antibody fragment and an analogue of the main immunogenic region of the acetylcholine receptor: a combined two-dimensional NMR, homology, and molecular modeling approach

Binding of autoantibodies to the acetylcholine receptor (AChR) plays a major role in the autoimmune disease Myasthenia gravis (MG). In this paper, we propose a structure model of a putative immunocomplex that gives rise to the reduction of functional AChR molecules during the course of MG. The model complex consists of the [G(70), Nle(76)] decapeptide analogue of the main immunogenic region (MIR), representing the major antigenic epitope of AChR, and the single chain Fv fragment of monoclonal antibody 198, a potent MG autoantibody. The structure of the complexed decapeptide antigen [G(70), Nle(76)]MIR was determined using two-dimensional nmr, whereas the antibody structure was derived by means of homology modeling. The final complex was constructed using calculational docking and molecular dynamics. We termed this approach "directed modeling," since the known peptide structure directs the prestructured antibody binding site to its final conformation. The independently derived structures of the peptide antigen and antibody binding site already showed a high degree of surface complementarity after the initial docking calculation, during which the peptide was conformationally restrained. The docking routine was a soft algorithm, applying a combination of Monte Carlo simulation and energy minimization. The observed shape complementarity in the docking process suggested that the structure assessments already led to anti-idiotypic conformations of peptide antigen and antibody fragment. Refinement of the complex by dynamic simulation yielded improved surface adaptation by small rearrangements within antibody and antigen. The complex presented herein was analyzed in terms of antibody-antigen interactions, properties of contacting surfaces, and segmental mobility. The structural requirements for AChR complexation by autoantibodies were explored and compared with experimental data from alanine scans of the MIR peptides. The analysis revealed that the N-terminal loop of the peptide structure, which is indispensable for antibody recognition, aligns three hydrophobic groups in a favorable arrangement leading to the burial of 40% of the peptide surface in the binding cleft upon complexation. These data should be valuable in the rational design of an Fv mutant with much improved affinity for the MIR and AChR to be used in therapeutic approaches in MG.

Rapid expression cloning of human immunoglobulin Fab fragments for the analysis of antigen specificity of B cell lymphomas and anti-idiotype lymphoma vaccination

An expression system for rapid and standardized production of human recombinant immunoglobulin Fab fragments in E. coli was developed. Functional folding of the Fab fragments was accomplished by the dicistronic expression vector pFab.gammakappa containing specialized leader sequences to direct the immunoglobulin heavy and light chains to the periplasmic bacterial space. A C-terminal hexahistidine tag of the Fd chain facilitated metal affinity chromatography and purification to homogeneity as assessed by SDS PAGE and silver staining. Specific antigen recognition by a hybridoma-derived Fab fragment was indistinguishable from that of the corresponding monoclonal antibody. This protocol may be useful for analysis of the antigen specificity of human B cells and for convenient production of lymphoma-derived idiotype protein for vaccination strategies. To obtain unmodified immunoglobulin cDNA sequences from small human biopsies for insertion into pFab.gammakappa, oligo(dG)-tailed cDNA was amplified with an oligo(dC)- and nested mu or kappa constant region-specific primers. Using single sets of primers for each class of immunoglobulin transcripts, the products of this anchored PCR reflected the relative abundance of the starting cell population and permitted reliable identification of clonal, lymphoma-derived sequences for subsequent expression cloning.

Towards the design of an antibody that recognises a given protein epitope

We have explored the possibility of designing repertoires of antibodies complementary to a given protein epitope, specifically the face of the ribonuclease inhibitor barstar that binds to the enzyme barnase. An antibody repertoire was created by mutation of ten residues in the hypervariable loops of a synthetic antibody fragment and displayed on filamentous bacteriophage. The positions of three of the ten residues of the antibody (VL 32, 50 and 94) were chosen to match a triangle of three negative charges on the face of barstar and mutated to favour residues of opposite charge or those with hydrogen-bonding potential. The other seven residues, chosen to allow for variation in the surface of interaction, were mutated at random. One of the antibody fragments isolated after selection of the repertoire (10(8) clones per library) was shown to bind to barstar with an affinity of 1.0x10(-7) M and the binding was competed by barnase. Furthermore, the binding of the antibody to barstar was highly sensitive to mutation of any of five residues of barstar known to contact barnase. This indicates that it may be possible, by a combination of design and selection, to build antibodies to a given epitope.

Improving the Affinity and the Fine Specificity of an Anti-Cortisol Antibody by Parsimonious Mutagenesis and Phage Display

Immunoassays are widely used to determine steroid concentrations. However, they are limited by the specificity of anti-steroid mAbs. We used the phage display system combined with molecular modeling and site-specific randomization to improve the affinity and the fine specificity of an anti-cortisol mAb. Using parsimonious mutagenesis, we have generated a library of mutant Ab fragments (scFv) derived from this Ab by randomizing five amino acids chosen by molecular modeling and Ab-hapten contact structural analysis. Anti-cortisol Ab fragments were selected from the library in the presence of steroid analogues to block cross-reacting binders. Specific elution with free cortisol allowed the recovery of clones with up to eightfold better affinity and fivefold less cross-reactivity than the wild-type scFv. This approach can be applied to any anti-hapten Ab and represents a useful approach for obtaining highly specific Abs for use in steroid immunoassays.

Antibody engineering

Among the most important advances in antibody engineering of this past year is the advent of new tools to study the relationship between protein (including antibody) structure and function. Very rapid large-scale mutational analysis of antibodies is now possible by using in vitro transcription and translation. Ribosome display is a rapidly evolving technology for modifying antibody function that offers several potential advantages over phage display.

Glutathione S-transferase can be used as a C-terminal, enzymatically active dimerization module for a recombinant protease inhibitor, and functionally secreted into the periplasm of Escherichia coli

Glutathione S-transferase (GST) from Schistosoma japonicum, which is widely used for the production of fusion proteins in the cytoplasm of Escherichia coli, was employed as a functional fusion module that effects dimer formation of a recombinant protein and confers enzymatic reporter activity at the same time. For this purpose GST was linked via a flexible spacer to the C-terminus of the thiol-protease inhibitor cystatin, whose binding properties for papain were to be studied. The fusion protein was secreted into the bacterial periplasm by means of the OmpA signal peptide to ensure formation of the two disulfide bonds in cystatin. The formation of wrong crosslinks in the oxidizing milieu was prevented by replacing three of the four exposed cysteine residues in GST. Using the tetracycline promoter for tightly controlled gene expression the soluble fusion protein could be isolated from the periplasmic protein fraction. Purification to homogeneity was achieved in one step by means of an affinity column with glutathione agarose. Alternatively, the protein was isolated via streptavidin affinity chromatography after the Strep-tag had been appended to its C terminus. The GST moiety of the fusion protein was enzymatically active and the kinetic parameters were determined using glutathione and 1-chloro-2,4-dinitrobenzene as substrates. Furthermore, strong binding activity for papain was detected in an ELISA. The signal with the cystatin-GST fusion protein was much higher than with cystatin itself, demonstrating an avidity effect due to the dimer formation of GST. The quaternary structure was further confirmed by chemical crosslinking, which resulted in a specific reaction product with twice the molecular size. Thus, engineered GST is suitable as a moderately sized, secretion-competent fusion partner that can confer bivalency to a protein of interest and promote detection of binding interactions even in cases of low affinity.