Engineering biodiversity with type II polyketide synthase genes

A very important task in the ongoing search for new clinically useful drugs is the generation of large numbers of structurally diverse compounds. The emerging field of combinatorial biosynthesis, in which nature's chemical capabilities are exploited in a combinatorial 'mix-and-match' fashion, has generated libraries of novel molecules representing great structural diversity which are not available naturally or readily generated through (combinatorial) synthesis. Novel polyketides have been generated by manipulating type II iterative polyketide synthase (PKS) systems that express a variety of combinations of a minimal PKS with ketoreductases, cyclases, and other tailoring enzymes, resulting in a set of design rules to rationally engineer new metabolites. Engineering studies with the Streptomyces coelicolor whiE (spore pigment) and the 'Streptomyces maritimus' enterocin type II PKS provide additional insight on designing diverse assemblies of aromatic, as well as nonaromatic, polyketides.     

A dual fingerprint-based metric for the design of focused compound libraries and analogs

A computational metric is introduced for the design of combinatorial libraries focused on small molecules with specific activity (e.g., enzyme inhibitors). The method follows a product-based design strategy and uses combinations of two binary molecular fingerprints to create chemical diversity around selected compounds and/or core structures. In the first step, compounds are sampled that are distinct from template molecules but likely to share similar biological activity. In the second step, designed compounds are accepted if they are not too similar to each other, as assessed by calculation of fingerprint overlap. Thus, it is possible to balance molecular "similarity" and "diversity" and control the degree of chemical diversity created in the vicinity of selected template molecules. In essence, the method aims to generate diverse arrays of compounds with a high probability of having activity similar to starting molecule(s) and is therefore well suited for the design of target-focused libraries or series of analogs. As an example, the method is applied to focus libraries on known protein kinase inhibitors.     

Highly parallel translation of DNA sequences into small molecules

A large body of in vitro evolution work establishes the utility of biopolymer libraries comprising 10(10) to 10(15) distinct molecules for the discovery of nanomolar-affinity ligands to proteins. Small-molecule libraries of comparable complexity will likely provide nanomolar-affinity small-molecule ligands. Unlike biopolymers, small molecules can offer the advantages of cell permeability, low immunogenicity, metabolic stability, rapid diffusion and inexpensive mass production. It is thought that such desirable in vivo behavior is correlated with the physical properties of small molecules, specifically a limited number of hydrogen bond donors and acceptors, a defined range of hydrophobicity, and most importantly, molecular weights less than 500 Daltons. Creating a collection of 10(10) to 10(15) small molecules that meet these criteria requires the use of hundreds to thousands of diversity elements per step in a combinatorial synthesis of three to five steps. With this goal in mind, we have reported a set of mesofluidic devices that enable DNA-programmed combinatorial chemistry in a highly parallel 384-well plate format. Here, we demonstrate that these devices can translate DNA genes encoding 384 diversity elements per coding position into corresponding small-molecule gene products. This robust and efficient procedure yields small molecule-DNA conjugates suitable for in vitro evolution experiments.     

Combinatorial chemistry,automation and molecular diversity: new trends in the pharmaceutical industry

Combinatorial chemistry has emerged as a set of novel strategies for the synthesis of large sets of compounds (combinatorial libraries) for biological evaluation. Within a few years combinatorial chemistry has undergone a series of changes in trends, which are closely related to two important factors in libraries: numbers and quality. While the number of compounds in a library may be easily expressed, it is a lot more difficult to indicate the degree of quality of a library. This degree of quality can be split into two aspects : purity and diversity. The changing trends in combinatorial chemistry with respect to the strategies, the technologies, the libraries themselves (numbers and purity aspects) and the molecular diversity are outlined in this paper.     

Discovering potent and selective reversible inhibitors of enzymes in complex proteomes

To realize the promise of genomics-based therapeutics, new methods are needed to accelerate the discovery of small molecules that selectively modulate protein activity. Toward this end, advances in combinatorial synthesis have provided unprecedented access to large compound libraries of considerable structural complexity and diversity, shifting the bottleneck in drug discovery to the development of efficient screens for protein targets. Screening for reversible enzyme inhibitors typically requires extensive target-specific work, including protein expression and purification, as well as the development of specific substrate assays. Here we report a proteomic method for the discovery of reversible enzyme inhibitors that avoids these steps. We show that competitive profiling of a library of candidate serine hydrolase inhibitors in complex proteomes with activity-based chemical probes identifies nanomolar reversible inhibitors of several enzymes simultaneously, including the endocannabinoid-degrading enzyme fatty acid amide hydrolase (FAAH), triacylglycerol hydrolase (TGH) and an uncharacterized membrane-associated hydrolase that lacks known substrates. The strategy tests inhibitors against numerous enzymes in parallel, assigning both potency and selectivity factors to each agent. In this way, promiscuous inhibitors were readily rejected in favor of equally potent compounds with 500-fold or greater selectivity for their targets.     

组合生物催化

自然界最有效的分子是由酶催化的反应所产生,并对这些产物进行自然选择,使其具有优化的生理活性,组合生物催化（Combinatorial Biocatalysis)利用酶反应的多样性,完成有机库（Organic Library)的反复合成,这些反复的反应,可以用分离的酶或全细胞,在天然或非天然的环境中、在溶液或固相中与底物进行反应。组合生物催化是组合方法的在药物发现和发展中产生和优化先导化合物（LeadCompound)的一个有力补充。     

Parallel and combinatorial approaches for synthesis of ligands

Although new detection screening methods must still be developed, the actual main limitation in combinatorial chemistry seems to be the diversity of ligands that can be generated in terms of real structural and chemical diversity. Thus, there is a strong interest for the development of different strategies for the parallel or combinatorial synthesis of ligands. We report here a selection of recent attempts proposing 'open' approaches able to increase the diversity of molecular architecture truly accessible via parallel or combinatorial processes.     

Beyond Rf tagging

The split-pool diversity orientated synthesis method, which requires some form of encoding to track the synthesis of discrete compounds, has been the lynchpin of most combinatorial synthesis efforts. The use of encoding methods in combinatorial chemistry has matured, and depending on their level of resources, chemists now have a diverse choice of encoding methods available. New methods of encoding have been developed that are inexpensive, simple to incorporate into any laboratory, and utilize analytical equipment such as MS, FTIR and NMR that are readily available to most organic chemists.     

Synthetic approaches to polycyclic semiochemicals and their derivatives: combinatorial methods towards phytochemicals

Semiochemicals are natural products occurring in plants, bacteria or animals which function as carriers of a special message. Depending on the mode of function of the semiochemicals, they are divided into pheromones that trigger a response in members of the same species and allelochemicals (kairomones, allomones) that act between individuals of different species. Semiochemicals are very important compounds that influence the behavior of plants and animals and their adaption to a changing environment. As their importance for plants, animals and the ecological system itself is huge, the synthetic access to these chemicals, their precursors and derivatives is of high interest. Beyond novel strategies for the construction of semiochemical skeletons, combinatorial methods have been implemented to synthesize medium-sized and large-sized libraries that enable diverse modifications of the active compounds. These combinatorial approaches allow the screening for more active compounds and they elucidate the mode of action of the semiochemical or of the biological target. This review summarizes the state of the art procedures for the synthesis of important skeletons appearing in semiochemicals and gives special synthetic procedures for selected examples if the procedure is suitable for a general transfer to the synthesis of derivatives. The synthetic examples are given in the context of known active phytochemicals and their function that allows an evaluation of the given procedures with respect to the fulfillment of the common structural requirements (the structural diversity and flexibility) and the importance for the regulation of biological systems. Parts of this review were given in a lecture at the BioCom 12 in Cadiz, 2012.     

Where chemistry meets biology: the chemoenzymatic synthesis of nonribosomal peptides and polyketides

Intensive studies on modular biosynthetic assembly line machinery have provided researchers with a profound knowledge of how nonribosomal peptides and polyketides used in different therapeutic areas are produced in nature. This has opened the door for projects aiming to manipulate the assembly of these small molecules by directed and combinatorial approaches to produce novel compounds both in vivo and in vitro. Here, we highlight a set of recent chemoenzymatic attempts towards the synthesis of nonribosomal peptides and polyketides that aim to generate these structurally demanding compounds through the combined utilization of synthetic chemical tools and recombinant natural product metabolic enzymes.     

ChemDB: a public database of small molecules and related chemoinformatics resources

MOTIVATION: The development of chemoinformatics has been hampered by the lack of large, publicly available, comprehensive repositories of molecules, in particular of small molecules. Small molecules play a fundamental role in organic chemistry and biology. They can be used as combinatorial building blocks for chemical synthesis, as molecular probes in chemical genomics and systems biology, and for the screening and discovery of new drugs and other useful compounds. RESULTS: We describe ChemDB, a public database of small molecules available on the Web. ChemDB is built using the digital catalogs of over a hundred vendors and other public sources and is annotated with information derived from these sources as well as from computational methods, such as predicted solubility and three-dimensional structure. It supports multiple molecular formats and is periodically updated, automatically whenever possible. The current version of the database contains approximately 4.1 million commercially available compounds and 8.2 million counting isomers. The database includes a user-friendly graphical interface, chemical reactions capabilities, as well as unique search capabilities. AVAILABILITY: Database and datasets are available on http://cdb.ics.uci.edu.     

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.     

Will combinatorial chemistry deliver real medicines?

Over the next decade, the impact of library synthesis will play a major role in shortening the lead optimization phase of drug discovery. The prognosis for combinatorial chemistry to discover fundamentally different new classes of therapeutically active small molecules against some of the more difficult biological targets is less certain. Expectations are high because the technology potentially allows us to sample available drug space by synthesizing all possible small molecule ligands (variously estimated to be between 10³⁰–10⁵⁰ compounds). Some caution is advised, however, since, despite recent increases in high-throughput screening of substantially greater numbers of synthetic compounds and natural products, we are not routinely finding a plethora of new structures. The outcome may be that combinatorial chemistry offers us the ability to work faster on finding ligands for well-established tractable targets, such as G-protein-coupled receptors, ion channels or proteases, rather than, say, the more complex protein—protein interactions which from the majority of targets in signal transduction pathways.     

Design and application of multimodular peptide synthetases.

Nonribosomal peptide synthetases produce bioactive peptides of great structural diversity. Their modular organization makes them amenable to the construction of hybrid enzymes that synthesize novel products. New strategies for combinatorial approaches are being developed from the recent advances in nonribosomal peptide synthesis on the genetic, biochemical and structural level.     

Glycans and neural cell interactions

Carbohydrate-carrying molecules in the nervous system have important roles during development, regeneration and synaptic plasticity. Carbohydrates mediate interactions between recognition molecules, thereby contributing to the formation of a complex molecular meshwork at the cell surface and in the extracellular matrix. The tremendous structural diversity of glycan chains allows for immense combinatorial possibilities that might underlie the fine-tuning of cell-cell and cell-matrix interactions.     

MUSTA--a general, efficient, automated method for multiple structure alignment and detection of common motifs: application to proteins.

Here we present an algorithm designed to carry out multiple structure alignment and to detect recurring substructural motifs. So far we have implemented it for comparison of protein structures. However, this general method is applicable to comparisons of RNA structures and to detection of a pharmacophore in a series of drug molecules. Further, its sequence order independence permits its application to detection of motifs on protein surfaces, interfaces, and binding/active sites. While there are many methods designed to carry out pairwise structure comparisons, there are only a handful geared toward the multiple structure alignment task. Most of these tackle multiple structure comparison as a collection of pairwise structure comparison tasks. The multiple structural alignment algorithm presented here automatically finds the largest common substructure (core) of atoms that appears in all the molecules in the ensemble. The detection of the core and the structural alignment are done simultaneously. The algorithm begins by finding small substructures that are common to all the proteins in the ensemble. One of the molecules is considered the reference; the others are the source molecules. The small substructures are stored in special arrays termed combinatorial buckets, which define sets of multistructural alignments from the source molecules that coincide with the same small set of reference atoms (C(alpha)-atoms here). These substructures are initial small fragments that have congruent copies in each of the proteins. The substructures are extended, through the processing of the combinatorial buckets, by clustering the superpositions (transformations). The method is very efficient.     

Ab initio Molecular Electrostatic Potential Grid Maps for Quantitative Similarity Calculations of Organic Compounds

The program MolSim designed to calculate the similarity of different molecules quantitatively in a fast and easy way is described. The molecular similarity is estimated for the molecular shape as well as for the electrostatic potentials of the molecules derived from ab initio calculations. A grid-based method is used to determine the steric and electrostatic similarities between a lead compound and the corresponding test set by calculating the Spearman correlation coefficient. The superpositioning of the molecules was accomplished with the SEAL algorithm incorporating a Monte Carlo simulated annealing approach while preserving the conformational flexibility of the calculated structures.The ability of the program was tested on a set of Sandalwood odour compounds, a class of substances that is difficult to analyse with respect to its structure-activity relationship because of the structural diversity of Sandalwood odour compounds, in contrast to their high selectivity and pronounced structural specificity. The application of the program on a small test set of these compounds showed that the program is able to explain the Sandalwood odour activity correctly.Electronic Supplementary Material available.     

Green fluorescent protein as a scaffold for intracellular presentation of peptides.

Peptide aptamers provide probes for biological processes and adjuncts for development of novel pharmaceutical molecules. Such aptamers are analogous to compounds derived from combinatorial chemical libraries which have specific binding or inhibitory activities. Much as it is generally difficult to determine the composition of combinatorial chemical libraries in a quantitative manner, determining the quality and characteristics of peptide libraries displayed in vivo is problematical. To help address these issues we have adapted green fluorescent protein (GFP) as a scaffold for display of conformationally constrained peptides. The GFP-peptide libraries permit analysis of library diversity and expression levels in cells and allow enrichment of the libraries for sequences with predetermined characteristics, such as high expression of correctly folded protein, by selection for high fluorescence.     

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.