DNA display II. Genetic manipulation of combinatorial chemistry libraries for small-molecule evolution

Biological in vitro selection techniques, such as RNA aptamer methods and mRNA display, have proven to be powerful approaches for engineering molecules with novel functions. These techniques are based on iterative amplification of biopolymer libraries, interposed by selection for a desired functional property. Rare, promising compounds are enriched over multiple generations of a constantly replicating molecular population, and subsequently identified. The restriction of such methods to DNA, RNA, and polypeptides precludes their use for small-molecule discovery. To overcome this limitation, we have directed the synthesis of combinatorial chemistry libraries with DNA "genes," making possible iterative amplification of a nonbiological molecular species. By differential hybridization during the course of a traditional split-and-pool combinatorial synthesis, the DNA sequence of each gene is read out and translated into a unique small-molecule structure. This "chemical translation" provides practical access to synthetic compound populations 1 million-fold more complex than state-of-the-art combinatorial libraries. We carried out an in vitro selection experiment (iterated chemical translation, selection, and amplification) on a library of 10(6) nonnatural peptides. The library converged over three generations to a high-affinity protein ligand. The ability to genetically encode diverse classes of synthetic transformations enables the in vitro selection and potential evolution of an essentially limitless collection of compound families, opening new avenues to drug discovery, catalyst design, and the development of a materials science "biology."     

Selection of streptavidin binders from a DNA-encoded chemical library

DNA-encoded libraries of small organic molecules facilitate the construction of large, encoded self-assembling chemical libraries for the identification of high-affinity binders to protein targets. We have constructed a library of 477 chemical compounds, coupled to 48mer-oligonucleotides, each containing a unique six-base sequence serving as "bar-code" for the identification of the chemical moiety. The functionality of the library was confirmed by selection and amplification of both high- and low-affinity binding molecules specific to streptavidin.     

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.     

Serendipity in drug-discovery: A new series of 2-(benzyloxy)benzamides as TRPM8 antagonists

A new series of 2-(benzyloxy)benzamides are presented that are potent functional antagonists of TRPM8 and possess improved LipE and LE compared to the original lead. They were discovered through a series of compound libraries and we present a powerful visualization method for the chemical space explored with each library. Remarkably this new series originated from the highest risk design strategy where compounds were synthesised with the least degree of similarity to the lead structure.     

Structure-based tailoring of compound libraries for high-throughput screening: discovery of novel EphB4 kinase inhibitors

High-throughput docking is a computational tool frequently used to discover small-molecule inhibitors of enzymes or receptors of known three-dimensional structure. Because of the large number of molecules in chemical libraries, automatic procedures to prune multimillion compound collections are useful for high-throughput docking and necessary for in vitro screening. Here, we propose an anchor-based library tailoring approach (termed ALTA) to focus a chemical library by docking and prioritizing molecular fragments according to their binding energy which includes continuum electrostatics solvation. In principle, ALTA does not require prior knowledge of known inhibitors, but receptor-based pharmacophore information (hydrogen bonds with the hinge region) is additionally used here to identify molecules with optimal anchor fragments for the ATP-binding site of the EphB4 receptor tyrosine kinase. The 21,418 molecules of the focused library (from an initial collection of about 730,000) are docked into EphB4 and ranked by force-field-based energy including electrostatic solvation. Among the 43 compounds tested in vitro, eight molecules originating from two different anchors show low-micromolar activity in a fluorescence-based enzymatic assay. Four of them are active in a cell-based assay and are potential anti-angiogenic compounds.     

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.     

Identification of a novel retinoid by small molecule screening with zebrafish embryos

Small molecules have played an important role in delineating molecular pathways involved in embryonic development and disease pathology. The need for novel small molecule modulators of biological processes has driven a number of targeted screens on large diverse libraries. However, due to the specific focus of such screens, the majority of the bioactive potential of these libraries remains unharnessed. In order to identify a higher proportion of compounds with interesting biological activities, we screened a diverse synthetic library for compounds that perturb the development of any of the multiple organs in zebrafish embryos. We identified small molecules that affect the development of a variety of structures such as heart, vasculature, brain, and body-axis. We utilized the previously known role of retinoic acid in anterior-posterior (A-P) patterning to identify the target of DTAB, a compound that caused A-P axis shortening in the zebrafish embryo. We show that DTAB is a retinoid with selective activity towards retinoic acid receptors gamma and beta. Thus, conducting zebrafish developmental screens using small molecules will not only enable the identification of compounds with diverse biological activities in a large chemical library but may also facilitate the identification of the target pathways of these biologically active molecules.     

High-throughput sequencing for the identification of binding molecules from DNA-encoded chemical libraries

DNA-encoded chemical libraries are large collections of small organic molecules, individually coupled to DNA fragments that serve as amplifiable identification bar codes. The isolation of specific binders requires a quantitative analysis of the distribution of DNA fragments in the library before and after capture on an immobilized target protein of interest. Here, we show how Illumina sequencing can be applied to the analysis of DNA-encoded chemical libraries, yielding over 10 million DNA sequence tags per flow-lane. The technology can be used in a multiplex format, allowing the encoding and subsequent sequencing of multiple selections in the same experiment. The sequence distributions in DNA-encoded chemical library selections were found to be similar to the ones obtained using 454 technology, thus reinforcing the concept that DNA sequencing is an appropriate avenue for the decoding of library selections. The large number of sequences obtained with the Illumina method now enables the study of very large DNA-encoded chemical libraries (>500,000 compounds) and reduces decoding costs.     

Blood-brain barrier permeability considerations for CNS-targeted compound library design

A further refinement of the concept of drug-likeness is required for compound libraries intended for central nervous system (CNS) targets to account for the limitations imposed by blood-brain barrier permeability. This review describes criteria and processes that can be applied in the de novo design and assembly of libraries to increase the odds of compounds residing within CNS-accessible chemical space. A number of published examples where CNS activity and/or penetration characteristics have been a factor in library design are discussed.     

Genetic optimization of combinatorial libraries

Most agrochemical and pharmaceutical companies have set up high-throughput screening programs which require large numbers of compounds to screen. Combinatorial libraries provide an attractive way to deliver these compounds. A single combinatorial library with four variable positions can yield more than 10(12) potential compounds, if one assumes that about 1000 reagents are available for each position. This is far more than any high-throughput screening facility can afford to screen. We have proposed a method for iterative compound selection from large databases, which identifies the most active compounds by examining only a small fraction of the database. In this article, we describe the extension of this method to the problem of selecting compounds from large combinatorial libraries. Copyright 1998 John Wiley & Sons, Inc.     

Forward chemical genetics: progress and obstacles on the path to a new pharmacopoeia

Forward chemical genetics is a new method to systematize the discovery and use of small molecules as tools for basic biological research. This approach requires three basic components: a library of compounds; an assay, in which the library is screened for a cellular or organismal phenotype; and a method to trace an active compound to its biological target. Bioactive compounds have traditionally been isolated from natural product extracts, although 'diversity-oriented synthesis' and commercial compound collections are gaining in prominence. New techniques, such as image-based screening and the cytoblot method, have increased the throughput of phenotypic assays. Strategies are also being developed to streamline target identification using molecular biological approaches.     

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

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

Lead compounds discovered from libraries: part 2

Many lead compounds with the potential to progress to viable drug candidates have been identified from libraries during the past two years. There are two key strategies most often employed to find leads from libraries: first, high-throughput biological screening of corporate compound collections; and second, synthesis and screening of project-directed libraries (i.e. target-based libraries). Numerous success stories, including the discovery of several clinical candidates, testify to the utility of chemical library collections as proven sources of new leads for drug development.     

Design and synthesis of a novel DNA-encoded chemical library using Diels-Alder cycloadditions

DNA-encoded chemical libraries are increasingly being employed for the identification of binding molecules to protein targets of pharmaceutical relevance. Here, we describe the synthesis and characterization of a DNA-encoded chemical library, consisting of 4000 compounds generated by Diels-Alder cycloaddition reactions. The compounds were encoded with unique DNA fragments which were generated through a stepwise assembly process and serve as amplifiable bar codes for the identification and relative quantification of library members.     

A multidimensional overpressured layer chromatographic method for the characterization of tetrazine libraries

The recent combinatorial approach in synthetic organic chemistry started a new age in drug discovery. The generation of compound libraries in combination with high-throughput screening has become the method of choice for the production of new pharmacological leads for chemical optimization. Characterization and separation of such pool of compounds have been lagging behind the synthetic and screening methodologies. Overpressured layer chromatography (OPLC) is an instrumentalized planar liquid chromatographic technique associated with the use of optimized layers prepared from particles of narrow particle size distribution and small diameter. On one hand, uni-directional OPLC allows the simultaneous separation of large number of samples in minutes. On the other hand, two-dimensional OPLC offers multidimensional separation on a single layer. This paper shows the complete multidimensional separation of a tetrazine library prepared by parallel combinatorial synthesis. In general, this approach may become the method of choice for the characterization of compound libraries.     

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.     

Protein structure similarity clustering (PSSC) and natural product structure as inspiration sources for drug development and chemical genomics

Finding small molecules that modulate protein function is of primary importance in drug development and in the emerging field of chemical genomics. To facilitate the identification of such molecules, we developed a novel strategy making use of structural conservatism found in protein domain architecture and natural product inspired compound library design. Domains and proteins identified as being structurally similar in their ligand-sensing cores are grouped in a protein structure similarity cluster (PSSC). Natural products can be considered as evolutionary pre-validated ligands for multiple proteins and therefore natural products that are known to interact with one of the PSSC member proteins are selected as guiding structures for compound library synthesis. Application of this novel strategy for compound library design provided enhanced hit rates in small compound libraries for structurally similar proteins.     

Coverage and bias in chemical library design

The design of chemical libraries directed to target classes is an activity that requires the availability of ligand pharmacological data and/or protein structural data. On the basis of the knowledge derived from these data, chemical libraries directed mainly to G protein-coupled receptors, kinases, proteases, and nuclear receptors have been assembled. However, current design strategies widely overlook assessing the potential ability of the compounds contained in a focused library to provide uniform ample coverage of the protein family they intend to target. Here, we discuss the use of in silico target profiling methods as a means to estimate the actual scope of chemical libraries to probe entire protein families and illustrate its applicability in optimizing the composition of compound sets to achieve maximum coverage of the family with minimum bias to particular targets.     

Identification of bioactive molecules by adipogenesis profiling of organic compounds

An important step in the postgenomic drug discovery is the construction of high quality chemical libraries that generate bioactive molecules at high rates. Here we report a cell-based approach to composing a focused library of biologically active compounds. A collection of bioactive non-cytotoxic chemicals was identified from a divergent library through the effects on the insulin-induced adipogenesis of 3T3-L1 cells, one of the most drastic and sensitive morphological alterations in cultured mammalian cells. The resulting focused library amply contained unique compounds with a broad range of pharmacological effects, including glucose-uptake enhancement, cytokine inhibition, osteogenesis stimulation, and selective suppression of cancer cells. Adipogenesis profiling of organic compounds generates a focused chemical library for multiple biological effects that are seemingly unrelated to adipogenesis, just as genetic screens with the morphology of fly eyes identify oncogenes and neurodegenerative genes.     

DNA-encoded chemical libraries

The discovery and development of novel drugs for the multitude of targets originating from functional genomic research is a challenging task. While antibodies can nowadays be raised against virtually any given target using phage-display methodologies, a similar "selection/amplification" approach for the facile discovery of low-molecular weight compounds capable of specific binding to protein targets of choice has so far been lacking. The development of DNA-encoded chemical libraries, combined with suitable selection and high-throughput sequencing strategies, holds promises to fill this gap. Here, we review the latest developments in the field of DNA-encoded chemical libraries, commenting on the challenges and opportunities for the different experimental strategies in this rapidly evolving research area, which may gain importance for the future drug discovery process.