Design of compound libraries based on natural product scaffolds and protein structure similarity clustering (PSSC)

Recent advances in structural biology, bioinformatics and combinatorial chemistry have significantly impacted the discovery of small molecules that modulate protein functions. Natural products which have evolved to bind to proteins may serve as biologically validated starting points for the design of focused libraries that might provide protein ligands with enhanced quality and probability. The combined application of natural product derived scaffolds with a new approach that clusters proteins according to structural similarity of their ligand sensing cores provides a new principle for the design and synthesis of such libraries. This article discusses recent advances in the synthesis of natural product inspired compound collections and the application of protein structure similarity clustering for the development of such libraries.     

Correlation between protein function and ligand binding profiles

We report that proteins with the same function bind the same set of small molecules from a standardized chemical library. This observation led to a quantifiable and rapidly adaptable method for protein functional analysis using experimentally derived ligand binding profiles. Ligand binding is measured using a high-throughput NMR ligand affinity screen with a structurally diverse chemical library. The method was demonstrated using a set of 19 proteins with a range of functions. A statistically significant similarity in ligand binding profiles was only observed between the two functionally identical albumins and between the five functionally similar amylases. This new approach is independent of sequence, structure, or evolutionary information and, therefore, extends our ability to analyze and functionally annotate novel genes.     

Design of Array-Type Compound Libraries that Combine Information from Natural Products and Synthetic Molecules

A new approach to the design of compound libraries, named MetaFocus (Metabolite-Focused library), is presented that exploits information encoded in natural molecules and combines naturally occurring and synthetic compounds. An important goal of the MF approach is the identification of synthetic compounds that mimic properties of natural molecules that are difficult to obtain in sufficient quantities or to synthesize. Compounds in MetaFocus (MF) arrays are focused on natural molecules with attractive therapeutic effects. Similarity search and diversity design techniques are employed to generate compound arrays that start from a selected natural molecule, add similar molecules, either from natural or synthetic sources, and diversify scaffolds derived from these molecules. Since the identification of similar molecules from natural and synthetic sources plays a significant role in our library design efforts, the performance of fingerprint-type search tools was systematically assessed in a newly assembled test database consisting of 16 biological activity classes. MF arrays are organized as an easily expandable and searchable data structure and serve as a knowledge base for drug discovery applications. Here we introduce the design principles and organization of MF arrays and present example applications.     

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.     

A novel complexity-to-diversity strategy for the diversity-oriented synthesis of structurally diverse and complex macrocycles from quinine

Recent years have witnessed a global decline in the productivity and advancement of the pharmaceutical industry. A major contributing factor to this is the downturn in drug discovery successes. This can be attributed to the lack of structural (particularly scaffold) diversity and structural complexity exhibited by current small molecule screening collections.Macrocycles have been shown to exhibit a diverse range of biological properties, with over 100 natural product-derived examples currently marketed as FDA-approved drugs. Despite this, synthetic macrocycles are widely considered to be a poorly explored structural class within drug discovery, which can be attributed to their synthetic intractability.Herein we describe a novel complexity-to-diversity strategy for the diversity-oriented synthesis of novel, structurally complex and diverse macrocyclic scaffolds from natural product starting materials. This approach exploits the inherent structural (including functional) and stereochemical complexity of natural products in order to rapidly generate diversity and complexity. Readily-accessible natural product-derived intermediates serve as structural templates which can be divergently functionalized with different building blocks to generate a diverse range of acyclic precursors. Subsequent macrocyclisation then furnishes compounds that are each based around a distinct molecular scaffold. Thus, high levels of library scaffold diversity can be rapidly achieved. In this proof-of-concept study, the natural product quinine was used as the foundation for library synthesis, and six novel structurally diverse, highly complex and functionalized macrocycles were generated.     

Engineering by homologous recombination: exploring sequence and function within a conserved fold

In nature similar protein folds accommodate distant sequences and support diverse functions. This observation coupled with the recognition that proteins can tolerate many homologous substitutions inspires protein engineers to use recombination to search for new functions within sequences encoding structurally related molecules. These searches have led to proteins with novel activities, diversified specificities and greater stabilities. Computational methods that exploit structural and evolutionary information are being used to design highly mutated yet still natively folded chimeric proteins and protein libraries.     

Searching for folded proteins in vitro and in silico.

Understanding the sequence determinants of protein structure, stability and folding is critical for understanding how natural proteins have evolved and how proteins can be engineered to perform novel functions. The complexity of the protein folding problem requires the ability to search large volumes of sequence space for proteins with specific structural or functional characteristics. Here we describe our efforts to identify novel proteins using a phage-display selection strategy from a 'mini-exon' shuffling library generated from the yeast genome and from completely random sequence libraries, and compare the results to recent successes in generating novel proteins using in silico protein design.     

Affinity Selection and Mass Spectrometry-Based Strategies to Identify Lead Compounds in Combinatorial Libraries

The screening of diverse libraries of small molecules created by combinatorial synthetic methods is a recent development which has the potential to accelerate the identification of lead compounds in drug discovery. We have developed a direct and rapid method to identify lead compounds in libraries involving affinity selection and mass spectrometry. In our strategy, the receptor or target molecule of interest is used to isolate the active components from the library physically, followed by direct structural identification of the active compounds bound to the target molecule by mass spectrometry. In a drug design strategy, structurally diverse libraries can be used for the initial identification of lead compounds. Once lead compounds have been identified, libraries containing compounds chemically similar to the lead compound can be generated and used to optimize the binding characteristics. These strategies have also been adopted for more detailed studies of protein–ligand interactions.     

Screening for ligands using a generic and high-throughput light-scattering-based assay

Rapid identification of small molecules that interact with protein targets using a generic screening method greatly facilitates the development of therapeutic agents. The authors describe a novel method for performing homogeneous biophysical assays in a high-throughput format. The use of light scattering as a method to evaluate protein stability during thermal denaturation in a 384-well format yields a robust assay with a low frequency of false positives. This novel method leads to the identification of interacting small molecules without the addition of extraneous fluorescent probes. The analysis and interpretation of data is rapid, with sensitivity for protein stability comparable to differential scanning calorimetry. The authors propose potential uses in drug discovery, structural genomics, and functional genomics as a method to evaluate small-molecule interactions, identify natural cofactors that stabilize target proteins, and identify natural substrates and products for previously uncharacterized protein targets.     

An Evolution-Based Approach to De Novo Protein Design and Case Study on Mycobacterium tuberculosis

Computational protein design is a reverse procedure of protein folding and structure prediction, where constructing structures from evolutionarily related proteins has been demonstrated to be the most reliable method for protein 3-dimensional structure prediction. Following this spirit, we developed a novel method to design new protein sequences based on evolutionarily related protein families. For a given target structure, a set of proteins having similar fold are identified from the PDB library by structural alignments. A structural profile is then constructed from the protein templates and used to guide the conformational search of amino acid sequence space, where physicochemical packing is accommodated by single-sequence based solvation, torsion angle, and secondary structure predictions. The method was tested on a computational folding experiment based on a large set of 87 protein structures covering different fold classes, which showed that the evolution-based design significantly enhances the foldability and biological functionality of the designed sequences compared to the traditional physics-based force field methods. Without using homologous proteins, the designed sequences can be folded with an average root-mean-square-deviation of 2.1 Å to the target. As a case study, the method is extended to redesign all 243 structurally resolved proteins in the pathogenic bacteria Mycobacterium tuberculosis, which is the second leading cause of death from infectious disease. On a smaller scale, five sequences were randomly selected from the design pool and subjected to experimental validation. The results showed that all the designed proteins are soluble with distinct secondary structure and three have well ordered tertiary structure, as demonstrated by circular dichroism and NMR spectroscopy. Together, these results demonstrate a new avenue in computational protein design that uses knowledge of evolutionary conservation from protein structural families to engineer new protein molecules of improved fold stability and biological functionality.     

Anticalins: Exploiting a non-Ig scaffold with hypervariable loops for the engineering of binding proteins

Antibodies, which can recognize a plethora of possible antigens, have been considered as a paradigm of protein engineering performed by nature itself. Lipocalins constitute a distinct family of proteins with functions in ligand binding and transport that occur in many organisms, including man. Like antibodies, lipocalins exhibit a structurally conserved framework – a β-barrel with an attached α-helix – which supports four structurally hypervariable loops forming a cup-shaped binding site. Thus, lipocalins offer an ideal platform for protein engineering to generate novel binding reagents. Using recombinant/synthetic DNA technology and methods of combinatorial library selection, ‘Anticalins’ with prescribed target specificities can be easily generated. Anticalins with picomolar affinities have been developed for three classes of ligands having relevance in basic research and/or medical application: small molecules, peptides, and proteinaceous signalling molecules as well as cell surface receptors. Anticalins derived from human lipocalins have already reached the clinical trial stage. Due to their very small size and simple composition of a single polypeptide chain, which also facilitates the construction of bifunctional fusion proteins, Anticalins promise benefits as a next class of biopharmaceuticals.     

γ-Pyrone natural products—A privileged compound class provided by nature

In “Biology Oriented Synthesis” (BIOS), the inherent biological relevance of natural products is employed for the design and synthesis of compound libraries. Towards this end, library generation in BIOS is focused on compound classes from biologically relevant space such as the natural product space or also the drug space and only scaffolds of these areas of proven relevance are employed for synthesis of small focused libraries with limited diversity. We here present a short overview of γ-pyrone natural products, highlighting their biological properties and their potential applicability in a BIOS of a compound library.     

Structure guided approaches toward exploiting and manipulating nonribosomal peptide and polyketide biosynthetic pathways

Nonribosomal peptide and polyketide natural products are structurally diverse small molecules synthesized on complex enzyme assemblies. The ability to rationally engineer secondary metabolic pathways is a promising approach to novel therapeutics. Atomic resolution structures of biosynthetic enzymes provide information on active site architecture and macromolecular assembly that can aid in the engineering of new compounds. This review surveys recent applications toward biosynthetic engineering of natural products guided by structural biology.     

Surface modifications based on the cyanobacterial siderophore anachelin: from structure to functional biomaterials design

This review describes the design, synthesis and evaluation of novel catechol based anchors for surface modification. The anachelin chromophore, the catecholate fragment of the siderophore anachelin from the cyanobacterium Anabaena cylindrica, allows for the immobilization of polyethylene glycol (PEG) on titania and glass surfaces thus rendering them protein resistant and antifouling. It is proposed that catecholate siderophores constitute a class of natural products useful for surface modification similar to dihydroxyphenylalanine and dopamine derived compounds found in mussel adhesive proteins. Second-generation dopamine derivatives featuring a quaternary ammonium group were found to be equally efficient in generating antifouling surfaces. The anachelin chromophore, merged via a PEG linker to the glycopeptide antibiotic vancomycin, allowed for the generation of antimicrobial surfaces through an operationally simple dip-and-rinse procedure. This approach offers an option for the prevention of nosocomial infections through antimicrobial implants, catheters and stents. Consequences for the mild generation of functional biomaterials are discussed and novel strategies for the immobilization of complex natural products, proteins and DNA on surfaces are presented.     

Expression and isolation of antimicrobial small molecules from soil DNA libraries

Natural products have been a critically important source of clinically relevant small molecule therapeutics. However, the discovery rate of novel structural classes of antimicrobial molecules has declined. Recently, increasing evidence has shown that the number of species cultivated from soil represents less than 1% of the total population, opening up the exciting possibility that these uncultured species may provide a large untapped pool from which novel natural products can be discovered. We have constructed and expressed in E. coli a BAC (bacterial artificial chromosome) library containing genomic fragments of DNA (5-120kb) isolated directly from soil organisms (S-DNA). Screening of the library resulted in the identification of several antimicrobial activities expressed by different recombinant clones. One clone (mg1.1) has been partially characterized and found to express several small molecules related to and including indirubin. These results show that genes involved in natural product synthesis can be cloned directly from S-DNA and expressed in a heterologous host, supporting the idea that this technology has the potential to provide novel natural products from the wealth of environmental microbial diversity and is a potentially important new tool for drug discovery.     

Natural products and combinatorial chemistry: back to the future

The introduction of high-throughput synthesis and combinatorial chemistry has precipitated a global decline in the screening of natural products by the pharmaceutical industry. Some companies terminated their natural products program, despite the unproven success of the new technologies. This was a premature decision, as natural products have a long history of providing important medicinal agents. Furthermore, they occupy a complementary region of chemical space compared with the typical synthetic compound library. For these reasons, the interest in natural products has been rekindled. Various approaches have evolved that combine the power of natural products and organic chemistry, ranging from the combinatorial total synthesis of analogues to the exploration of natural product scaffolds and the design of completely unnatural molecules that resemble natural products in their molecular characteristics.     

Solution structure and functional ligand screening of HI0719, a highly conserved protein from bacteria to humans in the YjgF/YER057c/UK114 family

HI0719 belongs to a large family of highly conserved proteins with no definitive molecular function and is found in organisms ranging from bacteria to humans. We describe the NMR structure of HI0719, the first solution structure for a member of this family. The overall fold is similar to the crystal structures of two homologues, YabJ from Bacillus subtilis and YjgF from Escherichia coli, and all three structures are similar to that of chorismate mutase, although there is little sequence homology and no apparent functional connection. HI0719 is a homotrimer with a distinct cavity located at the subunit interface. Six of the seven invariant residues in the high identity group of proteins are located in this cavity, suggesting that this may be a binding site for small molecules. Using previously published observations about the biological role of HI0719 family members as a guide, over 100 naturally occurring small molecules or structural analogues were screened for ligand binding using NMR spectroscopy. The targeted screening approach identified six compounds that bind to HI0719 at the putative active site. Five of these compounds are either alpha-keto acids or alpha,beta-unsaturated acids, while the sixth compound is structurally similar. Previous studies have proposed that some HI0719 homologues may act on small molecules in the isoleucine biosynthetic path and, if this is correct, the ligand screening results presented here suggest that the interaction most likely occurs with 2-ketobutyrate and/or its unstable enamine precursor.     

Binding of small molecules to cavity forming mutants of a de novo designed protein

A central goal of protein design is to devise novel proteins for applications in biotechnology and medicine. Many applications, including those focused on sensing and catalysis will require proteins that recognize and bind to small molecules. Here, we show that stably folded α-helical proteins isolated from a binary patterned library of designed sequences can be mutated to produce binding sites capable of binding a range of small aromatic compounds. Specifically, we mutated two phenylalanine side chains to alanine in the known structure of de novo protein S-824 to create buried cavities in the core of this four-helix bundle. The parental protein and the Phe→Ala variants were exposed to mixtures of compounds, and selective binding was assessed by saturation transfer difference NMR. The affinities of benzene and a number of its derivatives were determined by pulse field gradient spin echo NMR, and several of the compounds were shown to bind the mutated protein with micromolar dissociation constants. These studies suggest that stably folded de novo proteins from binary patterned libraries are well-suited as scaffolds for the design of binding sites.     

Computational-aided design of a library of lactams through a diversity-oriented synthesis strategy

Small molecule libraries for virtual screening are becoming a well-established tool for the identification of new hit compounds. As for experimental assays, the library quality, defined in terms of structural complexity and diversity, is crucial to increase the chance of a successful outcome in the screening campaign. In this context, Diversity-Oriented Synthesis has proven to be very effective, as the compounds generated are structurally complex and differ not only for the appendages, but also for the molecular scaffold. In this work, we automated the design of a library of lactams by applying a Diversity-Oriented Synthesis strategy called Build/Couple/Pair. We evaluated the novelty and diversity of these compounds by comparing them with lactam moieties contained in approved drugs, natural products, and bioactive compounds from ChEMBL. Finally, depending on their scaffold we classified them into β-, γ-, δ-, ε-, and isolated, fused, bridged and spirolactam groups and we assessed their drug-like and lead-like properties, thus providing the value of this novel in silico designed library for medicinal chemistry applications.