Fully synthetic human combinatorial antibody libraries (HuCAL) based on modular consensus frameworks and CDRs randomized with trinucleotides

By analyzing the human antibody repertoire in terms of structure, amino acid sequence diversity and germline usage, we found that seven V(H) and seven V(L) (four Vkappa and three Vlambda) germline families cover more than 95 % of the human antibody diversity used. A consensus sequence was derived for each family and optimized for expression in Escherichia coli. In order to make all six complementarity determining regions (CDRs) accessible for diversification, the synthetic genes were designed to be modular and mutually compatible by introducing unique restriction endonuclease sites flanking the CDRs. Molecular modeling verified that all canonical classes were present. We could show that all master genes are expressed as soluble proteins in the periplasm of E. coli. A first set of antibody phage display libraries totalling 2x10(9) members was created after cloning the genes in all 49 combinations into a phagemid vector, itself devoid of the restriction sites in question. Diversity was created by replacing the V(H) and V(L) CDR3 regions of the master genes by CDR3 library cassettes, generated from mixed trinucleotides and biased towards natural human antibody CDR3 sequences. The sequencing of 257 members of the unselected libraries indicated that the frequency of correct and thus potentially functional sequences was 61 %. Selection experiments against many antigens yielded a diverse set of binders with high affinities. Due to the modular design of all master genes, either single binders or even pools of binders can now be rapidly optimized without knowledge of the particular sequence, using pre-built CDR cassette libraries. The small number of 49 master genes will allow future improvements to be incorporated quickly, and the separation of the frameworks may help in analyzing why nature has evolved these distinct subfamilies of antibody germline genes.     

A Novel Human scFv Library with Non-Combinatorial Synthetic CDR Diversity

The present work describes the construction and validation of a human scFv library with a novel design approach to synthetic complementarity determining region (CDR) diversification. The advantage of synthetic antibody libraries includes the possibility of exerting fine control over factors like framework sequences, amino acid and codon usage, and CDR diversity. However, random combinatorial synthesis of oligonucleotides for CDR sequence diversity also produces many clones with unnatural sequences and/or undesirable modification motifs. To alleviate these issues, we designed and constructed a novel semi-synthetic human scFv library with non-combinatorial, pre-designed CDR diversity and a single native human framework each for heavy, kappa, and lambda chain variable domains. Next-generation sequencing analysis indicated that the library consists of antibody clones with highly nature-like CDR sequences and the occurrence of the post-translational modification motifs is minimized. Multiple unique clones with nanomolar affinity could be isolated from the library against a number of target antigens, validating the library design strategy. The results demonstrate that it is possible to construct a functional antibody library using low, non-combinatorial synthetic CDR diversity, and provides a new strategy for the design of antibody libraries suitable for demanding applications.     

Stability and CDR Composition Biases Enrich Binder Functionality Landscapes

The rugged protein sequence-function landscape complicates efforts, both in nature and in the laboratory, to evolve protein function. Protein library diversification must strike a balance between sufficient variegation to thoroughly sample alternative functionality versus the probability of mutant destabilization below an expressible threshold. In this work, we explore the sequence-function landscape in the context of screening for molecular recognition from an Ig scaffold library. The fibronectin type III domain is used to explore the impact of two sequence diversification strategies: (a) partial wild-type conservation at structurally important positions within the paratope region and (b) tailored amino acid composition mimicking antibody binding-site composition at putative paratope positions. Structurally important positions within the paratope region were identified through stability, structural, and phylogenetic analyses and partially or fully conserved in sequence. To achieve tailored antibody-like diversity, we designed a set of skewed nucleotide mixtures yielding codons approximately matching the distribution observed in antibody complementarity-determining regions without incurring the expense of triphosphoramidite-based construction. These design elements were explored via comparison of three library designs: a random library, a library with wild-type bias in the DE loop only and tyrosine-serine diversity elsewhere, and a library with wild-type bias at 11 positions and the antibody-inspired amino acid distribution. Using pooled libraries for direct competition in a single tube, selection and maturation of binders to seven targets yielded 19 of 21 clones that originated from the structurally biased, tailored-diversity library design. Sequence analysis of the selected clones supports the importance of both tailored compositional diversity and structural bias. In addition, selection of both well and poorly expressed clones from two libraries further elucidated the impact of structural bias.     

Constraining protein sequence space: four amino acid alphabets are sufficient to recapitulate lambda repressor multimerization

Nucleic acid polymers selected from random sequence space constitute an enormous array of catalytic, diagnostic and therapeutic molecules. Despite the fact that proteins are robust polymers with far greater chemical and physical diversity, success in unlocking protein sequence space remains elusive. We have devised a combinatorial strategy for accessing nucleic acid sequence space corresponding to proteins comprising selected amino acid alphabets. Using the SynthOMIC approach (synthesis of ORFs by multimerizing in-frame codons), representative libraries comprising four amino acid alphabets were fused in-frame to the lambda repressor DNA-binding domain to provide an in vivo selection for self-interacting proteins that re-constitute lambda repressor function. The frequency of self-interactors as a function of amino acid composition ranged over five orders of magnitude, from ∼6% of clones in a library comprising the amino acid residues LARE to ∼0.6 in 10⁶ in the MASH library. Sequence motifs were evident by inspection in many cases, and individual clones from each library presented substantial sequence identity with translated proteins by BLAST analysis. We posit that the SynthOMIC approach represents a powerful strategy for creating combinatorial libraries of open reading frames that distils protein sequence space on the basis of three inherent properties: it supports the use of selected amino acid alphabets, eliminates redundant sequences and locally constrains amino acids.     

Teaching an old scaffold new tricks: monobodies constructed using alternative surfaces of the FN3 scaffold

The fibronectin type III domain (FN3) has become one of the most widely used non-antibody scaffolds for generating new binding proteins. Because of its structural homology to the immunoglobulin domain, combinatorial libraries of FN3 designed to date have primarily focused on introducing amino acid diversity into three loops that are equivalent to antibody complementarity-determining regions. Here, we report an FN3 library that utilizes alternative positions for presenting amino acid diversity. We diversified positions on a β-sheet and surface loops that together form a concave surface. The new library produced binding proteins (termed "monobodies") to multiple target proteins, generally with similar efficacy as the original, loop-focused library. The crystal structure of a monobody generated from the new library in complex with its target, the Abl SH2 domain, revealed that a concave surface of the monobody, as intended in our design, bound to a convex surface of the target with the interface area being among the largest of published structures of monobody-target complexes. This mode of interaction differs from a common binding mode for single-domain antibodies and antibody mimics in which recognition loops recognize clefts in targets. Together, this work illustrates the utilization of different surfaces of a single immunoglobulin-like scaffold to generate binding proteins with distinct characteristics.     

Optimizing nucleotide sequence ensembles for combinatorial protein libraries using a genetic algorithm

Protein libraries are essential to the field of protein engineering. Increasingly, probabilistic protein design is being used to synthesize combinatorial protein libraries, which allow the protein engineer to explore a vast space of amino acid sequences, while at the same time placing restrictions on the amino acid distributions. To this end, if site-specific amino acid probabilities are input as the target, then the codon nucleotide distributions that match this target distribution can be used to generate a partially randomized gene library. However, it turns out to be a highly nontrivial computational task to find the codon nucleotide distributions that exactly matches a given target distribution of amino acids. We first showed that for any given target distribution an exact solution may not exist at all. Formulated as a constrained optimization problem, we then developed a genetic algorithm-based approach to find codon nucleotide distributions that match as closely as possible to the target amino acid distribution. As compared with the previous gradient descent method on various objective functions, the new method consistently gave more optimized distributions as measured by the relative entropy between the calculated and the target distributions. To simulate the actual lab solutions, new objective functions were designed to allow for two separate sets of codons in seeking a better match to the target amino acid distribution.     

Understanding mechanisms governing protein-protein interactions from synthetic binding interfaces

Recent advances in methodologies and design of combinatorial library selection have enabled comprehensive characterization of sequence space for protein-protein interaction interfaces and generation of fully synthetic binding interfaces. By exhaustively introducing and quantitatively analyzing mutations in natural interfaces, new insights into their molecular architecture and plasticity have emerged. Minimalist combinatorial libraries based on a restricted amino acid code have produced synthetic interfaces that rival natural ones using a different set of rules. A two amino acid code composed of just tyrosine and serine in the context of antibody CDR loops is sufficient to produce high affinity and specific interactions with different classes of protein targets. Structural analyses highlight the dominant role of Tyr in forming productive interactions and demonstrate the dominance of conformational diversity over chemical diversity in producing na?ve binding interfaces. Synthetic binding proteins are beginning to be used as a powerful crystallization tool to attack important structural biology problems that are recalcitrant to crystallization using traditional methods.     

Automatic Edman microsequencing of peptides containing multiple unnatural amino acids

It is now routine using automatic Edman microsequencing to determine the primary structure of peptides or proteins containing natural amino acids; however, a deficiency in the ability to readily sequence peptides containing unnatural amino acids remains. With the advent of synthetic peptide chemistry, combinatorial chemistry, and the large number of commercially available unnatural amino acids, there is a need for efficient and accurate structure determination of short peptides containing many unnatural amino acids. In this study, 35 commercially available alpha-unnatural amino acids were selected to determine their elution profile on an ABI protein sequencer. Using a slightly modified gradient program, 19 of these 35 PTH amino acids can be readily resolved and distinguished from common PTH amino acids at low picomole levels. These unnatural amino acids in conjunction with the 20 natural amino acids can be used as building blocks to construct peptide libraries, and peptide beads isolated from these libraries can be readily microsequenced. To demonstrate this, we synthesized a simple tripeptide "one-bead one-compound" combinatorial library containing 14 unnatural and 19 natural amino acids and screened this library for streptavidin-binding ligands. Microsequencing of the isolated peptide-beads revealed the novel motif Bpa-Phe(4-X)-Aib, wherein X = H, OH, and CH3.     

Antibody binding loop insertions as diversity elements

In the use of non-antibody proteins as affinity reagents, diversity has generally been derived from oligonucleotide-encoded random amino acids. Although specific binders of high-affinity have been selected from such libraries, random oligonucleotides often encode stop codons and amino acid combinations that affect protein folding. Recently it has been shown that specific antibody binding loops grafted into heterologous proteins can confer the specific antibody binding activity to the created chimeric protein. In this paper, we examine the use of such antibody binding loops as diversity elements. We first show that we are able to graft a lysozyme-binding antibody loop into green fluorescent protein (GFP), creating a fluorescent protein with lysozyme-binding activity. Subsequently we have developed a PCR method to harvest random binding loops from antibodies and insert them at predefined sites in any protein, using GFP as an example. The majority of such GFP chimeras remain fluorescent, indicating that binding loops do not disrupt folding. This method can be adapted to the creation of other nucleic acid libraries where diversity is flanked by regions of relative sequence conservation, and its availability sets the stage for the use of antibody loop libraries as diversity elements for selection experiments.     

Design of bioactive and structurally well-defined peptides from conformationally restricted libraries

Libraries of peptides and proteins can be categorized according to the function of their origin in gene- and synthetic-based libraries. Both kinds of libraries have the potential to generate the same grade of molecular diversity, although the limits imposed by the synthetic methods have been lately a matter of discussion. However, the use of synthetic strategies allows incorporation of non-natural amino acids. The development of conformationally restricted synthetic peptide libraries can be considered as a point of convergence of the two methodologies. In these libraries the diversity is grafted into scaffolds that are defined by stable secondary structural motifs, and the deconvolution protocols can be directed towards the identification of biologically active molecules and the analysis of determinants of folding of protein domains.     

Exploiting Models of Molecular Evolution to Efficiently Direct Protein Engineering

Directed evolution and protein engineering approaches used to generate novel or enhanced biomolecular function often use the evolutionary sequence diversity of protein homologs to rationally guide library design. To fully capture this sequence diversity, however, libraries containing millions of variants are often necessary. Screening libraries of this size is often undesirable due to inaccuracies of high-throughput assays, costs, and time constraints. The ability to effectively cull sequence diversity while still generating the functional diversity within a library thus holds considerable value. This is particularly relevant when high-throughput assays are not amenable to select/screen for certain biomolecular properties. Here, we summarize our recent attempts to develop an evolution-guided approach, Reconstructing Evolutionary Adaptive Paths (REAP), for directed evolution and protein engineering that exploits phylogenetic and sequence analyses to identify amino acid substitutions that are likely to alter or enhance function of a protein. To demonstrate the utility of this technique, we highlight our previous work with DNA polymerases in which a REAP-designed small library was used to identify a DNA polymerase capable of accepting non-standard nucleosides. We anticipate that the REAP approach will be used in the future to facilitate the engineering of biopolymers with expanded functions and will thus have a significant impact on the developing field of ‘evolutionary synthetic biology’.     

Using Knowledge of Protein Structural Constraints to Predict the Evolution of HIV-1

The high levels of sequence diversity and rapid rates of evolution of HIV-1 represent the main challenges for developing effective therapies. However, there are constraints imposed by the three-dimensional protein structure that affect the sequence space accessible to the evolution of HIV-1. Here, we present a strategy for predicting the set of possible amino acid replacements in HIV. Our approach is based on the identification of likely amino acid changes in the context of these structural constraints using environment-specific substitution matrices as well as considering the physical constraints imposed by local structure. Assessment of the power of various published algorithms in predicting the evolution of HIV-1 Gag P17 shows that it is possible to use these methods to make accurate predictions of the sequence diversity. Our own method, SubFit, uses knowledge of local structural constraints; it achieves similar prediction success with the best-performing methods. We also show that erroneous predictions are largely due to infrequently occurring amino acids that will probably have severe fitness costs for the protein. Future improvements; for example, incorporating covariation and immunological constraints will permit more reliable prediction of viral evolution.     

Orthogonal combinatorial mutagenesis: a codon-level combinatorial mutagenesis method useful for low multiplicity and amino acid-scanning protocols

We describe here a method to generate combinatorial libraries of oligonucleotides mutated at the codon-level, with control of the mutagenesis rate so as to create predictable binomial distributions of mutants. The method allows enrichment of the libraries with single, double or larger multiplicity of amino acid replacements by appropriate choice of the mutagenesis rate, depending on the concentration of synthetic precursors. The method makes use of two sets of deoxynucleoside-phosphoramidites bearing orthogonal protecting groups [4,4′-dimethoxytrityl (DMT) and 9-fluorenylmethoxycarbonyl (Fmoc)] in the 5′ hydroxyl. These phosphoramidites are divergently combined during automated synthesis in such a way that wild-type codons are assembled with commercial DMT-deoxynucleoside-methyl-phosphoramidites while mutant codons are assembled with Fmoc-deoxynucleoside-methyl-phosphoramidites in an NNG/C fashion in a single synthesis column. This method is easily automated and suitable for low mutagenesis rates and large windows, such as those required for directed evolution and alanine scanning. Through the assembly of three oligonucleotide libraries at different mutagenesis rates, followed by cloning at the polylinker region of plasmid pUC18 and sequencing of 129 clones, we concluded that the method performs essentially as intended.     

Quantitative assessment of peptide sequence diversity in M13 combinatorial peptide phage display libraries

Novel statistical methods have been developed and used to quantitate and annotate the sequence diversity within combinatorial peptide libraries on the basis of small numbers (1-200) of sequences selected at random from commercially available M13 p3-based phage display libraries. These libraries behave statistically as though they correspond to populations containing roughly 4.0+/-1.6% of the random dodecapeptides and 7.9+/-2.6% of the random constrained heptapeptides that are theoretically possible within the phage populations. Analysis of amino acid residue occurrence patterns shows no demonstrable influence on sequence censorship by Escherichia coli tRNA isoacceptor profiles or either overall codon or Class II codon usage patterns, suggesting no metabolic constraints on recombinant p3 synthesis. There is an overall depression in the occurrence of cysteine, arginine and glycine residues and an overabundance of proline, threonine and histidine residues. The majority of position-dependent amino acid sequence bias is clustered at three positions within the inserted peptides of the dodecapeptide library, +1, +3 and +12 downstream from the signal peptidase cleavage site. Conformational tendency measures of the peptides indicate a significant preference for inserts favoring a beta-turn conformation. The observed protein sequence limitations can primarily be attributed to genetic codon degeneracy and signal peptidase cleavage preferences. These data suggest that for applications in which maximal sequence diversity is essential, such as epitope mapping or novel receptor identification, combinatorial peptide libraries should be constructed using codon-corrected trinucleotide cassettes within vector-host systems designed to minimize morphogenesis-related censorship.     

Natural product derivatives with bactericidal activity against Gram-positive pathogens including methicillin-resistant Staphylococcus aureus and vancomycin-resistant Enterococcus faecalis

We have shown that the intentional engineering of a natural product biosynthesis pathway is a useful way to generate stereochemically complex scaffolds for use in the generation of combinatorial libraries that capture the structural features of both natural products and synthetic compounds. Analysis of a prototype library based upon nonactic acid lead to the discovery of triazole-containing nonactic acid analogs, a new structural class of antibiotic that exhibits bactericidal activity against drug resistant, Gram-positive pathogens including Staphylococcus aureus and Enterococcus faecalis.     

Combinatorial approaches to harmacophoric heterocycles: A solid-phase synthesis of 3,1-benzoxazine-4-ones

An efficient solid-phase synthesis of 3,1-benzoxazine-4-ones is described. Immobilized amino acid based functionalized urea derivatives 2 undergo a high yielding heterocyclization under mild conditions in presence of coupling reagents (DIC, TsCl/Py, or Ac2O) to afford 3,1-benzoxazine-4-ones 6. The method offers broad scope for structural and chemical diversity, and is amenable for combinatorial synthesis of 3,1-benzoxazine-4-ones libraries with potential for discovery of novel serine protease inhibitors. Copyright 1998 John Wiley & Sons, Inc.     

Designing repeat proteins: well-expressed,soluble and stable proteins from combinatorial libraries of consensus ankyrin repeat proteins

We describe an efficient way to generate combinatorial libraries of stable, soluble and well-expressed ankyrin repeat (AR) proteins. Using a combination of sequence and structure consensus analyses, we designed a 33 amino acid residue AR module with seven randomized positions having a theoretical diversity of 7.2x10(7). Different numbers of this module were cloned between N and C-terminal capping repeats, i.e. ARs designed to shield the hydrophobic core of stacked AR modules. In this manner, combinatorial libraries of designed AR proteins consisting of four to six repeats were generated, thereby potentiating the theoretical diversity. All randomly chosen library members were expressed in soluble form in the cytoplasm of Escherichia coli in amounts up to 200 mg per 1 l of shake-flask culture. Virtually pure proteins were obtained in a single purification step. The designed AR proteins are monomeric and display CD spectra identical with those of natural AR proteins. At the same time, our AR proteins are highly thermostable, with T(m) values ranging from 66 degrees C to well above 85 degrees C. Thus, our combinatorial library members possess the properties required for biotechnological applications. Moreover, the favorable biophysical properties and the modularity of the AR fold may account, partly, for the abundance of natural AR proteins.     

Sequence and structure space of RNA-binding peptides

Studies of RNA-binding peptides, and recent combinatorial library experiments in particular, have demonstrated that diverse peptide sequences and structures can be used to recognize specific RNA sites. The identification of large numbers of sequences capable of binding to a particular site has provided extensive phylogenetic information used to deduce basic principles of recognition. The high frequency at which RNA-binding peptides are found in large sequence libraries suggests plausible routes to evolve sequence-specific binders, facilitating the design of new binding molecules and perhaps reflecting characteristics of natural evolution.     

Automated screening procedure for high-throughput generation of antibody fragments

In the emerging field of proteomics, there is an urgent need for catcher molecules such as antibodies for detecting the proteome or parts of the proteome in a microarray format. A suitable source for providing a large diversity of binders is obtained by combinatorial libraries, such as phage display libraries of single chain antibody fragments (scFv) or Fab fragments. To find novel binders from the n-CoDeR libraries with a high throughput, we have automated the screening process with robotics. The automated system is configured to screen tens of thousands of clones per day to target antigens in various formats, including peptides and soluble proteins, as well as cell-bound targets; thus, it is well designed to meet demands from the proteomics area.     

High-affinity binders selected from designed ankyrin repeat protein libraries

We report here the evolution of ankyrin repeat (AR) proteins in vitro for specific, high-affinity target binding. Using a consensus design strategy, we generated combinatorial libraries of AR proteins of varying repeat numbers with diversified binding surfaces. Libraries of two and three repeats, flanked by 'capping repeats,' were used in ribosome-display selections against maltose binding protein (MBP) and two eukaryotic kinases. We rapidly enriched target-specific binders with affinities in the low nanomolar range and determined the crystal structure of one of the selected AR proteins in complex with MBP at 2.3 A resolution. The interaction relies on the randomized positions of the designed AR protein and is comparable to natural, heterodimeric protein-protein interactions. Thus, our AR protein libraries are valuable sources for binding molecules and, because of the very favorable biophysical properties of the designed AR proteins, an attractive alternative to antibody libraries.