Nanostructure design using protein building blocks enhanced by conformationally constrained synthetic residues

Increasing efforts are being invested in the construction of nanostructures with desired shapes and physical and chemical properties. Our strategy involves nanostructure design using naturally occurring protein building blocks. Inspection of the protein structural database (PDB) reveals the richness of the conformations, shapes, and chemistries of proteins and their building blocks. To increase the population of the native fold in the selected building block, we mutate natural residues by engineered, constrained residues that restrict the conformational freedom at the targeted site and have favorable interactions, geometry, and size. Here, as a model system, we construct nanotubes using building blocks from left-handed beta-helices which are commonly occurring repeat protein architectures. We pick two-turn beta-helical segments, duplicate and stack them, and using all-atom molecular dynamics simulations (MD) with explicit solvent probe the structural stability of these nanotubular structures as indicated by their capacity to retain the initial organization and their conformational dynamics. Comparison of the results for the wild-type and mutated sequences shows that the introduction of the conformationally restricted 1-aminocyclopropanecarboxylic acid (Ac3c) residue in loop regions greatly enhances the stability of beta-helix nanotubes. The Ac3c geometrical confinement effect is sequence-specific and position-specific. The achievement of high stability of nanotubular structures originates not only from the reduction of mobility at the mutation site induced by Ac3c but also from stabilizing association forces between building blocks such as hydrogen bonds and hydrophobic contacts. For the selected synthetic residue, similar size, hydrophobicity, and backbone conformational tendencies are desirable as in the Ac3c.     

Testing beta-helix terminal coils stability by targeted substitutions with non-proteogenic amino acids: a molecular dynamics study

The search for new building block templates useful for nanostructures design, targets protein motifs with a wide range of structures. Stabilizing these building blocks when extracted from their natural environment becomes a fundamental goal in order to successfully control their assembly. Targeted replacements of natural residues by conformationally constrained amino acids were shown to be a successful strategy to achieve such stabilization. In this work, the effect of replacing natural amino acids by non-proteogenic residues in a beta-helix building block has been evaluated using extensive molecular dynamics simulations. Here, we focus on systematic substitutions of valine residues present in beta-sheet segments of a beta-helical building block excised from Escherichia coli galactoside acetyltransferase, residues 131-165. Four different types of non-proteogenic amino acids have been considered for substitution: (i) one dehydroamino acid, (ii) two d-amino acids, (iii) one beta-amino acid and (iv) two alpha,alpha-dialkylamino acids. Our results indicate that the ability of non-proteogenic amino acids to stabilize small building block motifs is site-dependent. We conclude that if the replacement does not alter the energy balance between attractive non-covalent interactions and steric hindrance, synthetic residues are suitable candidates to nucleate beta-helix formation.     

De novo tubular nanostructure design based on self-assembly of beta-helical protein motifs

We present an approach for designing self-assembled nanostructures from naturally occurring building block segments obtained from native protein structures. We focus on structural motifs from left-handed beta-helical proteins. We selected 17 motifs. Copies of each of the motifs are stacked one atop the other. The obtained structures were simulated for long periods by using Molecular Dynamics to test their ability to retain their organization over time. We observed that a structural model based on the self-assembly of a motif from E. coli galactoside acetyltransferase produced a very stable tube. We studied the interactions that help maintain the conformational stability of the systems, focusing on the role of specific amino acids at specific positions. Analysis of these systems and a mutational study of selected candidates revealed that the presence of proline and glycine residues in the loops of beta-helical structures greatly enhances the structural stability of the systems.     

Rational design of self-assembled RNA nanostructures for HIV-1 virus assembly blockade

Many pathological processes are driven by RNA-protein interactions, making such interactions promising targets for molecular interventions. HIV-1 assembly is one such process, in which the viral genomic RNA interacts with the viral Gag protein and serves as a scaffold to drive Gag multimerization that ultimately leads to formation of a virus particle. Here, we develop self-assembled RNA nanostructures that can inhibit HIV-1 virus assembly, achieved through hybridization of multiple artificial small RNAs with a stem–loop structure (STL) that we identify as a prominent ligand of Gag that can inhibit virus particle production via STL-Gag interactions. The resulting STL-decorated nanostructures (double and triple stem–loop structures denoted as Dumbbell and Tribell, respectively) can elicit more pronounced viral blockade than their building blocks, with the inhibition arising as a result of nanostructures interfering with Gag multimerization. These findings could open up new avenues for RNA-based therapy.     

Symmetry-based self-assembled nanotubes constructed using native protein structures: the key role of flexible linkers

We construct nanotubes using native protein structures and their native associations from structural databases. The construction is based on a shape-guided symmetric self-assembly concept. Our strategy involves fusing judiciously-selected oligomerization domains via peptide linkers. Linkers are inherently flexible, hence their choice is critical: they should position the domains in three-dimensional space in the desired orientation while retaining their own natural conformational tendencies; however, at the same time, retain the construct stability. Here we outline a design scheme which accounts for linker flexibility considerations, and present two examples. The first is HIV-1 capsid protein, which in vitro self-assembles into nanotubes and conical capsids, and its linker exists as a short flexible loop. The second involves novel nanotubes construction based on antimicrobial homodimer Magainin 2, employing linkers of distinct lengths and flexibility levels. Our strategy utilizes the abundance of unique shapes and sizes of proteins and their building blocks which can assemble into a vast number of combinations, and consequently, nanotubes of distinct morphologies and diameters. Computational design and assessment methodologies can help reduce the number of candidates for experimental validation. This is an invited paper for a special issue on protein dynamics, here focusing on flexibility in nanotube design based on protein building blocks.     

Concepts and schemes for the re-engineering of physical protein modules: generating nanodevices via targeted replacements with constrained amino acids

Physically building complex multi-molecular structures from naturally occurring biological macromolecules has aroused a great deal of interest. Here we focus on nanostructures composed of re-engineered, natural 'foldamer' building blocks. Our aim is to provide some of the underlying concepts and schemes for crafting structures utilizing such conformationally relatively stable molecular components. We describe how, via chemical biology strategies, it is further possible to chemically manipulate the foldamer building blocks toward specific shape-driven structures, which in turn could be used toward potential-designed functions. We outline the criteria in choosing candidate foldamers from the vast biological repertoire, and how to enhance their stability through selected targeted replacements by non-proteinogenic conformationally constrained amino acids. These approaches combine bioinformatics, high performance computations and mathematics with synthetic organic chemistry. The resulting artificially engineered self-organizing molecular scale structures take advantage of nature's nanobiology toolkit and at the same time improve on it, since their new targeted function differs from that optimized by evolution. The major challenge facing nanobiology is to be able to exercise fine control over the performance of these target-specific molecular machines.     

Protein structure and folding: a new start.

Standard building blocks of proteins--closed loops of 25-30 amino acid residues--have been recently discovered and further characterized by combined efforts of several laboratories. New challenging views on the protein structure, folding, and evolution are introduced by these studies. In particular, the role of van der Waals contacts in protein stability is better understood. They can be considered as locks closing the polypeptide chain returns and forming the loop-n-lock elements. The linearity of the arrangement of the standard loops in the proteins has important evolutionary implications. Selection pressure to maintain the loops of nearly standard size is reflected in the protein sequences as characteristic distance between hydrophobic residues, equal to the loop end-to-end distance. Further characterization of the loop-n-lock units reveals several sequence/structure prototypes, which suggests a new basis for protein classification. The following is a review of these studies.     

Directed Evolution of a Model Primordial Enzyme Provides Insights into the Development of the Genetic Code

The contemporary proteinogenic repertoire contains 20 amino acids with diverse functional groups and side chain geometries. Primordial proteins, in contrast, were presumably constructed from a subset of these building blocks. Subsequent expansion of the proteinogenic alphabet would have enhanced their capabilities, fostering the metabolic prowess and organismal fitness of early living systems. While the addition of amino acids bearing innovative functional groups directly enhances the chemical repertoire of proteomes, the inclusion of chemically redundant monomers is difficult to rationalize. Here, we studied how a simplified chorismate mutase evolves upon expanding its amino acid alphabet from nine to potentially 20 letters. Continuous evolution provided an enhanced enzyme variant that has only two point mutations, both of which extend the alphabet and jointly improve protein stability by >4 kcal/mol and catalytic activity tenfold. The same, seemingly innocuous substitutions (Ile→Thr, Leu→Val) occurred in several independent evolutionary trajectories. The increase in fitness they confer indicates that building blocks with very similar side chain structures are highly beneficial for fine-tuning protein structure and function.     

Changing the charge distribution of beta-helical-based nanostructures can provide the conditions for charge transfer

In this work we present a computational approach to the design of nanostructures made of structural motifs taken from left-handed beta-helical proteins. Previously, we suggested a structural model based on the self-assembly of motifs taken from Escherichia coli galactoside acetyltransferase (Protein Data Bank 1krr, chain A, residues 131-165, denoted krr1), which produced a very stable nanotube in molecular dynamics simulations. Here we modify this model by changing the charge distribution in the inner core of the system and testing the effect of this change on the structural arrangement of the construct. Our results demonstrate that it is possible to generate the proper conditions for charge transfer inside nanotubes based on assemblies of krr1 segment. The electronic transfer would be achieved by introducing different histidine ionization states in selected positions of the internal core of the construct, in addition to specific mutations with charged amino acids that altogether will allow the formation of coherent networks of aromatic ring stacking, salt-bridges, and hydrogen bonds.     

Selection of inhibitory peptides for Aurora-A kinase from a phage-displayed library of helix–loop–helix peptides

Conformationally constrained peptide libraries have been made by grafting randomized amino acid sequences onto a rigid scaffold derived from natural proteins. Here, as a library scaffold, we propose a de novo designed helix–loop–helix motif. We constructed a peptide library of the loop region and screened against Aurora-A, which is a member of the Aurora family of serine/threonine protein kinases, to successfully isolate the inhibitory peptides. A semi-rational strategy, which combines phage-displayed libraries and de novo designed peptides, would provide a new way to generate selective peptide inhibitors for the protein kinase family.     

Mechanical unfoldons as building blocks of maltose-binding protein

Identifying independently folding cores or substructures is important for understanding and assaying the structure, function and assembly of large proteins. Here, we suggest mechanical stability as a criterion to identify building blocks of the 366 amino acid maltose-binding protein (MBP). We find that MBP, when pulled at its termini, unfolds via three (meta-) stable unfolding intermediates. Consequently, the MBP structure consists of four structural blocks (unfoldons) that detach sequentially from the folded structure upon force application. We used cysteine cross-link mutations to characterize the four unfoldons structurally. We showed that many MBP constructs composed of those building blocks indeed form stably folded structures in solution. Mechanical unfoldons may provide a new tool for a systematic search for stable substructures of large proteins.     

Principles of nanostructure design with protein building blocks

Currently there is increasing interest in nanostructures and their design. Nanostructure design involves the ability to predictably manipulate the properties of the self-assembly of autonomous units. Autonomous units have preferred conformational states. The units can be synthetic material science-based or derived from functional biological macromolecules. Autonomous biological building blocks with available structures provide an extremely rich and useful resource for design. For proteins, the structural databases contain large libraries of protein molecules and their building blocks with a range of shapes, surfaces, and chemical properties. The introduction of engineered synthetic residues or short peptides into these can expand the available chemical space and enhance the desired properties. Here we focus on the principles of nanostructure design with protein building blocks.     

Short self-assembling peptides as building blocks for modern nanodevices

Short, self-assembling peptides form a variety of stable nanostructures used for the rational design of functional devices. Peptides serve as organic templates for conjugating biorecognition elements, and assembling ordered nanoparticle arrays and hybrid supramolecular structures. We are witnessing the emergence of a new phase of bionanotechnology, particularly towards electronic, photonic and plasmonic applications. Recent advances include self-assembly of photoluminescent semiconducting nanowires and peptide-conjugated systems for sensing, catalysis and energy storage. Concurrently, methods and tools have been developed to control and manipulate the self-assembled nanostructures. Furthermore, there is growing knowledge on nanostructure properties such as piezoelectricity, dipolar electric field and stability. This review focuses on the emerging role of short, linear self-assembling peptides as simple and versatile building blocks for nanodevices.     

Designing a nanotube using naturally occurring protein building blocks

Here our goal is to carry out nanotube design using naturally occurring protein building blocks. Inspection of the protein structural database reveals the richness of the conformations of proteins, their parts, and their chemistry. Given target functional protein nanotube geometry, our strategy involves scanning a library of candidate building blocks, combinatorially assembling them into the shape and testing its stability. Since self-assembly takes place on time scales not affordable for computations, here we propose a strategy for the very first step in protein nanotube design: we map the candidate building blocks onto a planar sheet and wrap the sheet around a cylinder with the target dimensions. We provide examples of three nanotubes, two peptide and one protein, in atomistic model detail for which there are experimental data. The nanotube models can be used to verify a nanostructure observed by low-resolution experiments, and to study the mechanism of tube formation.     

Context-Dependent Energetics of Loop Extensions in a Family of Tandem-Repeat Proteins

Consensus-designed tetratricopeptide repeat proteins are highly stable, modular proteins that are strikingly amenable to rational engineering. They therefore have tremendous potential as building blocks for biomaterials and biomedicine. Here, we explore the possibility of extending the loops between repeats to enable further diversification, and we investigate how this modification affects stability and folding cooperativity. We find that extending a single loop by up to 25 residues does not disrupt the overall protein structure, but, strikingly, the effect on stability is highly context-dependent: in a two-repeat array, destabilization is relatively small and can be accounted for purely in entropic terms, whereas extending a loop in the middle of a large array is much more costly because of weakening of the interaction between the repeats. Our findings provide important and, to our knowledge, new insights that increase our understanding of the structure, folding, and function of natural repeat proteins and the design of artificial repeat proteins in biotechnology.     

Global incorporation of norleucine in place of methionine in cytochrome P450 BM-3 heme domain increases peroxygenase activity

In this study we have replaced all 13 methionine residues in the cytochrome P450 BM-3 heme domain (463 amino acids) with the isosteric methionine analog norleucine. This experiment has provided a means of testing the functional limits of globally incorporating into an enzyme an unnatural amino acid in place of its natural analog, and also an efficient way to test whether inactivation during peroxide-driven P450 catalysis involves methionine oxidation. Although there was no increase in the stability of the P450 under standard reaction conditions (in 10 mM hydrogen peroxide), complete substitution with norleucine resulted in nearly two-fold-increased peroxygenase activity. Thermostability was significantly reduced. The fact that the enzyme can tolerate such extensive amino acid replacement suggests that we can engineer enzymes with unique chemical properties via incorporation of unnatural amino acids while retaining or improving catalytic properties. This system also provides a platform for directing enzyme evolution using an extended set of protein building blocks.     

Hierarchical protein folding pathways: a computational study of protein fragments

We have previously presented a building block folding model. The model postulates that protein folding is a hierarchical top-down process. The basic unit from which a fold is constructed, referred to as a hydrophobic folding unit, is the outcome of combinatorial assembly of a set of "building blocks." Results obtained by the computational cutting procedure yield fragments that are in agreement with those obtained experimentally by limited proteolysis. Here we show that as expected, proteins from the same family give very similar building blocks. However, different proteins can also give building blocks that are similar in structure. In such cases the building blocks differ in sequence, stability, contacts with other building blocks, and in their 3D locations in the protein structure. This result, which we have repeatedly observed in many cases, leads us to conclude that while a building block is influenced by its environment, nevertheless, it can be viewed as a stand-alone unit. For small-sized building blocks existing in multiple conformations, interactions with sister building blocks in the protein will increase the population time of the native conformer. With this conclusion in hand, it is possible to develop an algorithm that predicts the building block assignment of a protein sequence whose structure is unknown. Toward this goal, we have created sequentially nonredundant databases of building block sequences. A protein sequence can be aligned against these, in order to be matched to a set of potential building blocks.     

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.     

Peptide self-assembly at the nanoscale: a challenging target for computational and experimental biotechnology

Self-assembly at the nanoscale is becoming increasingly important for the fabrication of novel supramolecular structures, with applications in the fields of nanobiotechnology and nanomedicine. Peptides represent the most favorable building blocks for the design and synthesis of nanostructures because they offer a great diversity of chemical and physical properties, they can be synthesized in large amounts, and can be modified and decorated with functional elements, which can be used in diverse applications. In this article, we review some of the most recent experimental advances in the use of nanoscale self-assembled peptide structures and the theoretical efforts aimed at understanding the microscopic determinants of their formation, stability and conformational properties. The combination of experimental observations and theoretical advances will be fundamental to fully realizing the biotechnological potential of peptide self-organization.     

Novel forms of chemical protein diversity -- in nature and in the laboratory

Novel chemical variants of proteins have been found in nature, including potent 'microprotein' natural products and folded protein molecules that contain a cyclic polypeptide chain. Researchers have used chemical synthesis and genetic methods to make these proteins and more: protein catenanes, neoglycoproteins, and artificial protein molecules with novel architectures or made from novel building blocks. De novo design has taken a big step forward with the accurate design and construction of proteins with complex molecular structure. A variety of non-coded amino acids and other building blocks has been used to make increasingly sophisticated protein molecular devices for use as biosensors and for the study of signal transduction inside living cells.