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.     

De novo proteins from designed combinatorial libraries

Combinatorial libraries of de novo amino acid sequences can provide a rich source of diversity for the discovery of novel proteins with interesting and important activities. Randomly generated sequences, however, rarely fold into well-ordered proteinlike structures. To enhance the quality of a library, features of rational design must be used to focus sequence diversity into those regions of sequence space that are most likely to yield folded structures. This review describes how focused libraries can be constructed by designing the binary pattern of polar and nonpolar amino acids to favor proteins that contain abundant secondary structure, while simultaneously burying hydrophobic side chains and exposing hydrophilic side chains to solvent. The "binary code" for protein design was used to construct several libraries of de novo proteins, including both alpha-helical and beta-sheet structures. The recently determined solution structure of a binary patterned four-helix bundle is well ordered, thereby demonstrating that sequences that have neither been selected by evolution (in vivo or in vitro) nor designed by computer can form nativelike proteins. Examples are presented demonstrating how binary patterned libraries have successfully produced well-ordered structures, cofactor binding, catalytic activity, self-assembled monolayers, amyloid-like nanofibrils, and protein-based biomaterials.     

De novo heme proteins from designed combinatorial libraries.

We previously reported the design of a library of de novo amino acid sequences targeted to fold into four-helix bundles. The design of these sequences was based on a "binary code" strategy, in which the patterning of polar and nonpolar amino acids is specified explicitly, but the exact identities of the side chains is varied extensively (Kamtekar S, Schiffer JM, Xiong H, Babik JM, Hecht MH, 1993, Science 262:1680-1685). Because of this variability, the resulting collection of amino acid sequences may include de novo proteins capable of binding biologically important cofactors. To probe for such binding, the de novo sequences were screened for their ability to bind the heme cofactor. Among an initial collection of 30 binary code sequences, 15 are shown to bind heme and form bright red complexes. Characterization of several of these de novo heme proteins demonstrated that their absorption spectra and resonance Raman spectra resemble those of natural cytochromes. Because the design of these sequences is based on global features of polar/ nonpolar patterning, the finding that half of them bind heme highlights the power of the binary code strategy, and demonstrates that isolating de novo heme proteins does not require explicit design of the cofactor binding site. Because bound heme plays a key role in the functions of many natural proteins, these results suggest that binary code sequences may serve as initial prototypes for the development of large collections of functionally active de novo proteins.     

Mass spectrometric analysis of combinatorial peptide libraries derived from the tandem repeat unit of MUC2 mucin.

Four 19-member synthetic peptide libraries, based on the TX1TX2T epitope motif of the mucin-2 gastrointestinal glycoprotein (MUC2) and ranging in peptide length from dipeptides to 15-mers (XT, TXT, TQTXT and KVTPTPTPTGTQTXT), were synthesized by combinatorial solid phase peptide synthesis using the portioning-mixing combinatorial approach, and analysed by electrospray ionization mass spectrometry at different (1000-10000) resolutions. Most of the components of the individual libraries could be easily identified in a single-stage molecular mass screening experiment. The resolving power of the instrument becomes an important factor above 800-1000 Da molecular mass, when predominantly multiply charged molecular ions are formed. Approaches to the identification of isobars (glutamine/lysine), isomers leucine/isoleucine) and sequence variations by tandem mass spectrometry, and/or by high-performance liquid chromatography-mass spectrometry are outlined.     

Designing repeat proteins: modular leucine-rich repeat protein libraries based on the mammalian ribonuclease inhibitor family

We present a novel approach to design repeat proteins of the leucine-rich repeat (LRR) family for the generation of libraries of intracellular binding molecules. From an analysis of naturally occurring LRR proteins, we derived the concept to assemble repeat proteins with randomized surface positions from libraries of consensus repeat modules. As a guiding principle, we used the mammalian ribonuclease inhibitor (RI) family, which comprises cytosolic LRR proteins known for their extraordinary affinities to many RNases. By aligning the amino acid sequences of the internal repeats of human, pig, rat, and mouse RI, we derived a first consensus sequence for the characteristic alternating 28 and 29 amino acid residue A-type and B-type repeats. Structural considerations were used to replace all conserved cysteine residues, to define less conserved positions, and to decide where to introduce randomized amino acid residues. The so devised consensus RI repeat library was generated at the DNA level and assembled by stepwise ligation to give libraries of 2-12 repeats. Terminal capping repeats, known to shield the continuous hydrophobic core of the LRR domain from the surrounding solvent, were adapted from human RI. In this way, designed LRR protein libraries of 4-14 LRRs (equivalent to 130-415 amino acid residues) were obtained. The biophysical analysis of randomly chosen library members showed high levels of soluble expression in the Escherichia coli cytosol, monomeric behavior as characterized by gel-filtration, and alpha-helical CD spectra, confirming the success of our design approach.     

Stably folded de novo proteins from a designed combinatorial library

Binary patterning of polar and nonpolar amino acids has been used as the key design feature for constructing large combinatorial libraries of de novo proteins. Each position in a binary patterned sequence is designed explicitly to be either polar or nonpolar; however, the precise identities of these amino acids are varied extensively. The combinatorial underpinnings of the "binary code" strategy preclude explicit design of particular side chains at specified positions. Therefore, packing interactions cannot be specified a priori. To assess whether the binary code strategy can nonetheless produce well-folded de novo proteins, we constructed a second-generation library based upon a new structural scaffold designed to fold into 102-residue four-helix bundles. Characterization of five proteins chosen arbitrarily from this new library revealed that (1) all are alpha-helical and quite stable; (2) four of the five contain an abundance of tertiary interactions indicative of well-ordered structures; and (3) one protein forms a well-folded structure with native-like features. The proteins from this new 102-residue library are substantially more stable and dramatically more native-like than those from an earlier binary patterned library of 74-residue sequences. These findings demonstrate that chain length is a crucial determinant of structural order in libraries of de novo four-helix bundles. Moreover, these results show that the binary code strategy--if applied to an appropriately designed structural scaffold--can generate large collections of stably folded and/or native-like proteins.     

Design of combinatorial protein libraries of optimal size

In this article we introduce a computational procedure, OPTCOMB (Optimal Pattern of Tiling for COMBinatorial library design), for designing protein hybrid libraries that optimally balance library size with quality. The proposed procedure is directly applicable to oligonucleotide ligation-based protocols such as GeneReassembly, DHR, SISDC, and many more. Given a set of parental sequences and the size ranges of the parental sequence fragments, OPTCOMB determines the optimal junction points (i.e., crossover positions) and the fragment contributing parental sequences at each one of the junction points. By rationally selecting the junction points and the contributing parental sequences, the number of clashes (i.e., unfavorable interactions) in the library is systematically minimized with the aim of improving the overall library quality. Using OPTCOMB, hybrid libraries containing fragments from three different dihydrofolate reductase sequences (Escherichia coli, Bacillus subtilis, and Lactobacillus casei) are computationally designed. Notably, we find that there exists an optimal library size when both the number of clashes between the fragments composing the library and the average number of clashes per hybrid in the library are minimized. Results reveal that the best library designs typically involve complex tiling patterns of parental segments of unequal size hard to infer without relying on computational means.     

Intracellular kinase inhibitors selected from combinatorial libraries of designed ankyrin repeat proteins

The specific intracellular inhibition of protein activity at the protein level allows the determination of protein function in the cellular context. We demonstrate here the use of designed ankyrin repeat proteins as tailor-made intracellular kinase inhibitors. The target was aminoglycoside phosphotransferase (3')-IIIa (APH), which mediates resistance to aminoglycoside antibiotics in pathogenic bacteria and shares structural homology with eukaryotic protein kinases. Combining a selection and screening approach, we isolated 198 potential APH inhibitors from highly diverse combinatorial libraries of designed ankyrin repeat proteins. A detailed analysis of several inhibitors revealed that they bind APH with high specificity and with affinities down to the subnanomolar range. In vitro, the most potent inhibitors showed complete enzyme inhibition, and in vivo, a phenotype comparable with the gene knockout was observed, fully restoring antibiotic sensitivity in resistant bacteria. These results underline the great potential of designed ankyrin repeat proteins for modulation of intracellular protein function.     

Structure‐based design of combinatorial mutagenesis libraries

The development of protein variants with improved properties (thermostability, binding affinity, catalytic activity, etc.) has greatly benefited from the application of high‐throughput screens evaluating large, diverse combinatorial libraries. At the same time, since only a very limited portion of sequence space can be experimentally constructed and tested, an attractive possibility is to use computational protein design to focus libraries on a productive portion of the space. We present a general‐purpose method, called “Structure‐based Optimization of Combinatorial Mutagenesis ” (SOCoM ), which can optimize arbitrarily large combinatorial mutagenesis libraries directly based on structural energies of their constituents. SOCoM chooses both positions and substitutions, employing a combinatorial optimization framework based on library‐averaged energy potentials in order to avoid explicitly modeling every variant in every possible library. In case study applications to green fluorescent protein, β‐lactamase, and lipase A, SOCoM optimizes relatively small, focused libraries whose variants achieve energies comparable to or better than previous library design efforts, as well as larger libraries (previously not designable by structure‐based methods) whose variants cover greater diversity while still maintaining substantially better energies than would be achieved by representative random library approaches. By allowing the creation of large‐scale combinatorial libraries based on structural calculations, SOCoM promises to increase the scope of applicability of computational protein design and improve the hit rate of discovering beneficial variants. While designs presented here focus on variant stability (predicted by total energy), SOCoM can readily incorporate other structure‐based assessments, such as the energy gap between alternative conformational or bound states.     

Identification and synthesis of an efficient multivalent E. coli heat labile toxin inhibitor __ A dynamic combinatorial chemistry approach

A polymer based dynamic combinatorial library (DCL) was generated through condensation between aldehyde functionalized linear poly(glycidol) (APG) and galactose containing acylhydrazide derivatives. Pentameric E. coli heat labile enterotoxin B subunit (LTB) was subsequently applied to the DCL as external stimulus, resulting in amplification of a specific acylhydrazone side chain that was further used for the synthesis of a multivalent LTB inhibitor. In the in vitro biological evaluation, this inhibitor exhibited strong inhibition properties as well as low cytotoxicity.     

Self-assembly of repeat proteins: Concepts and design of new interfaces

In nature, assembled protein structures offer the most complex functional structures. The understanding of the mechanisms ruling protein–protein interactions opens the door to manipulate protein assemblies in a rational way. Proteins are versatile scaffolds with great potential as tools in nanotechnology and biomedicine because of their chemical, structural, and functional versatility. Currently, bottom-up self-assembly based on biomolecular interactions of small and well-defined components, is an attractive approach to biomolecular engineering and biomaterial design. Specifically, repeat proteins are simplified systems for this purpose.In this work, we provide an overview of fundamental concepts of the design of new protein interfaces. We describe an experimental approach to form higher order architectures by a bottom-up assembly of repeated building blocks. For this purpose, we use designed consensus tetratricopeptide repeat proteins (CTPRs). CTPR arrays contain multiple identical repeats that interact through a single inter-repeat interface to form elongated superhelices. Introducing a novel interface along the CTPR superhelix allows two CTPR molecules to assemble into protein nanotubes. We apply three approaches to form protein nanotubes: electrostatic interactions, hydrophobic interactions, and π-π interactions. We isolate and characterize the stability and shape of the formed dimers and analyze the nanotube formation considering the energy of the interaction and the structure in the three different models. These studies provide insights into the design of novel protein interfaces for the control of the assembly into more complex structures, which will open the door to the rational design of nanostructures and ordered materials for many potential applications in nanotechnology.     

In silico design of potent EGFR kinase inhibitors using combinatorial libraries

This paper is an attempt to design 4-anilinoquinazoline compounds having promising anticancer activities against epidermal growth factor (EGFR) kinase inhibition, using virtual combinatorial library approach. Partial least squares method has been applied for the development of a quantitative structure–activity relationship (QSAR) model based on training and test set approaches. The partial least squares model showed some interesting results in terms of internal and external predictability against EGFR kinase inhibition for such type of anilinoquinazoline derivatives. In virtual screening study, out of 4860 compounds in chemical library, 158 compounds were screened and finally, 10 compounds were selected as promising EGFR kinase inhibitors based on their predicted activities from the QSAR model. These derivatives were subjected to molecular docking study to investigate the mode of binding with the EGFR kinase, and the two compounds (ID 3639 and 3399) showing similar type of docking score and binding patterns with that of the existing drug molecules like erlotinib were finally reported.     

Docking of combinatorial peptide libraries into a broadly cross-reactive human IgM

A monoclonal IgM cryoglobulin with diverse binding behavior was isolated from a patient (Mez) with Waldenstr?m's macroglobulinemia. It gave very high titers in the binding of combinatorially synthesized libraries of peptides ranging in size from two to eight residues. The crystal structure of Mez Fv revealed that the binding site was divided into two cavities of unequal volumes with dimensions and chemical properties that were compatible with the binding of peptides. Access to this unique combination of structural information and peptide binding data led us to carry out Mez-peptide docking simulations to gain insight into the Mez binding propensities. In the present article, the results for docking of five peptide libraries are combined with discussions of the methods and approximations involved in the docking process. We analyze the origins of peptide binding affinity for Mez IgM in terms of its cross-reactivity and its structural preferences.     

Artificial leucine rich repeats as new scaffolds for protein design

The leucine rich repeat (LRR) motif that participates in many biomolecular recognition events in cells was suggested as a general scaffold for producing artificial receptors. We describe here the design and first total chemical synthesis of small LRR proteins, and their structural analysis. When evaluating the tertiary structure as a function of different number of repeating units (1-3), we were able to find that the 3-repeats sequence, containing 90 amino acids, folds into the expected structure.     

Consequences of post-translational modifications on amyloid proteins as revealed by protein semisynthesis

Alterations to the global levels of certain types of post-translational modifications (PTMs) are commonly observed in neurodegenerative diseases. The net influence of these PTM changes to the progression of these diseases can be deduced from cellular and animal studies. However, at the molecular level, how one PTM influences a given protein is not uniform and cannot be easily generalized from systemic observations, thus requiring protein-specific interrogations. Given that protein aggregation is a shared pathological hallmark in neurodegeneration, it is important to understand how these PTMs affect the behavior of amyloid-forming proteins. For this purpose, protein semisynthesis techniques, largely via native chemical and expressed protein ligation, have been widely used. These approaches have thus far led to our increased understanding of the site-specific consequences of certain PTMs to amyloidogenic proteins’ endogenous function, their propensity for aggregation, and the structural variations these PTMs induce toward the aggregates formed.     

Design, synthesis and screening of antisense peptide based combinatorial peptide libraries towards an aromatic region of SARS-CoV

A combination of high-performance affinity chromatography and antisense peptide based combinatorial peptide libraries was used to screen a potential inhibitor for SARS-CoV. An aromatic-amino acid-rich region within the transmembrane domain at the C terminal of spike (S) protein identified as a membrane-active region was chosen as the target sense peptide (SP) and immobilized as affinity ligand. Four antisense peptides were designed based on the degeneracy of genetic codes. One of them was screened as the lead peptide to construct the extended peptide libraries (EPL). The library screening was carried out at pH 5.5 so as to mimic the low-pH milieu required by virus fusion. After five cycles of screening, a dodecapeptide KKKKYRNIRRPG (DP) was identified to possess the highest binding affinity to the immobilized sense peptide. The dissociation constant of the complex between the DP and the SP was 5.64 x 10(-7) M in a physiological condition. The recognition between the DP and recombinant SARS S protein was demonstrated by ELISA assay to be in a saturable way. The competitive inhibition of the sense peptide in the competitive ELISA reveals the affinity binding between the DP and SARS S protein is specific and directed towards the target SP of the S protein. The results indicate this preferred polypeptide can be used as a lead compound of potent inhibitor of SARS-CoV. The mechanism study suggests the specific recognition between the DP and the target peptide was due to sequence-dependent and multi-modal affinity interaction.     

Integrating DNA-encoded chemical libraries with virtual combinatorial library screening: Optimizing a PARP10 inhibitor

Two critical steps in drug development are 1) the discovery of molecules that have the desired effects on a target, and 2) the optimization of such molecules into lead compounds with the required potency and pharmacokinetic properties for translation. DNA-encoded chemical libraries (DECLs) can nowadays yield hits with unprecedented ease, and lead-optimization is becoming the limiting step. Here we integrate DECL screening with structure-based computational methods to streamline the development of lead compounds. The presented workflow consists of enumerating a virtual combinatorial library (VCL) derived from a DECL screening hit and using computational binding prediction to identify molecules with enhanced properties relative to the original DECL hit. As proof-of-concept demonstration, we applied this approach to identify an inhibitor of PARP10 that is more potent and druglike than the original DECL screening hit.     

Efficient and systematic synthesis of a small glycoconjugate library having human complex type oligosaccharides

To prepare a small library of homogeneous glycoconjugates with varying oligosaccharide structures, a combinatorial strategy was employed. The target glycopeptide was divided into two peptide segments (A and B) and both were prepared by solid phase peptide synthesis. These peptides, which can be coupled by native chemical ligation through an amide bond, were subsequently coupled to two kinds of human complex type oligosaccharides. This process systematically afforded the desired glycoconjugate library.     

Modular peptide binding: From a comparison of natural binders to designed armadillo repeat proteins

Several binding scaffolds that are not based on immunoglobulins have been designed as alternatives to traditional monoclonal antibodies. Many of them have been developed to bind to folded proteins, yet cellular networks for signaling and protein trafficking often depend on binding to unfolded regions of proteins. This type of binding can thus be well described as a peptide–protein interaction. In this review, we compare different peptide-binding scaffolds, highlighting that armadillo repeat proteins (ArmRP) offer an attractive modular system, as they bind a stretch of extended peptide in a repeat-wise manner. Instead of generating each new binding molecule by an independent selection, preselected repeats – each complementary to a piece of the target peptide – could be designed and assembled on demand into a new protein, which then binds the prescribed complete peptide. Stacked armadillo repeats (ArmR), each typically consisting of 42 amino acids arranged in three α-helices, build an elongated superhelical structure which enables binding of peptides in extended conformation. A consensus-based design approach, complemented with molecular dynamics simulations and rational engineering, resulted in well-expressed monomeric proteins with high stability. Peptide binders were selected and several structures were determined, forming the basis for the future development of modular peptide-binding scaffolds.