Trio-pharmacophore DNA-encoded chemical library for simultaneous selection of fragments and linkers.

The split-and-pool method has been widely used to synthesize chemical libraries of a large size for early drug discovery, albeit without the possibility of meaningful quality control. In contrast, a self-assembled DNA-encoded chemical library (DEL) allows us to construct an m x n-member library by mixing an m-member and an n-member pre-purified sub-library. Herein, we report a trio-pharmacophore DEL (T-DEL) of m x l x n members through assembling three pre-purified and validated sub-libraries. The middle sub-library is synthesized using DNA-templated synthesis with different reaction mechanisms and designed as a linkage connecting the fragments displayed on the flanking two sub-libraries. Despite assembling three fragments, the resulting compounds do not exceed the up-to-date standard of molecular weight regarding drug-likeness. We demonstrate the utility of T-DEL in linker optimization for known binding fragments against trypsin and carbonic anhydrase II and by de novo selections against matrix metalloprotease-2 and -9.

Nonlinear manipulation and analysis of large DNA datasets.

Information processing functions are essential for organisms to perceive and react to their complex environment, and for humans to analyze and rationalize them. While our brain is extraordinary at processing complex information, winner-take-all, as a type of biased competition is one of the simplest models of lateral inhibition and competition among biological neurons. It has been implemented as DNA-based neural networks, for example, to mimic pattern recognition. However, the utility of DNA-based computation in information processing for real biotechnological applications remains to be demonstrated. In this paper, a biased competition method for nonlinear manipulation and analysis of mixtures of DNA sequences was developed. Unlike conventional biological experiments, selected species were not directly subjected to analysis. Instead, parallel computation among a myriad of different DNA sequences was carried out to reduce the information entropy. The method could be used for various oligonucleotide-encoded libraries, as we have demonstrated its application in decoding and data analysis for selection experiments with DNA-encoded chemical libraries against protein targets.

Influence of the geometry of fluorescently labelled DNA constructs on fluorescence anisotropy assay.

DNA-encoded chemical libraries (DECLs) are powerful tools for modern drug discovery. A DECL is a pooled mixture of small molecule compounds, each of which is tagged with a unique DNA sequence which functions as a barcode. After incubation with a drug target and washing to remove non-binders, the bound molecules are eluted and submitted for DNA sequencing to determine which molecules are binding the target. While the DECL technology itself is ultra-high throughput, the following re-synthesis of identified compounds for orthogonal validation experiments remains the bottleneck. Using existing DNA-small molecule conjugates directly for affinity measurements, as opposed to complete compound resynthesis, could accelerate the discovery process. To this end, we have tested various geometries of fluorescently-labelled DNA constructs for fluorescence anisotropy (FA) experiments. Minimizing the distance between the fluorescent moiety and ligand can maximize the correlation between ligand-protein interaction and corresponding change in fluorophore rotational freedom, thus leading to larger, easier to interpret changes in FA values. However, close proximity can also cause artifacts due to potentially promiscuous interactions between fluorophore and protein. By balancing these two opposite effects, we have identified applicable fluorescently labelled DNA constructs displaying either a single ligand or pairs of fragments for affinity measurement using a FA assay.

Using a PCR-Based Method To Analyze and Model Large, Heterogeneous Populations of DNA.

The study of populations of large size and high diversity is limited by the capability of collecting data. Moreover, for a pool of individuals, each associated with a unique characteristic feature, as the pool size grows, the possible interactions increase exponentially and quickly go beyond the limit of computation and experimental studies. Herein, the design of DNA libraries with various diversity is reported. By using a facile analytical method based on real-time PCR, the diversity of a pool of DNA can be evaluated to allow extraordinarily high heterogenicity (e.g., >1 trillion). It is demonstrated that these DNA libraries can be used to model heterogeneous populations; these libraries exhibit functions such as self-protection, suitability for biased expansion, and the possibility to evolve into amorphous structures. The method has shown the remarkable power of parallel computing with DNA, since it can resemble an analogue computer and be applied in selection-based biotechnology methods, such as DNA-encoded chemical libraries. As a chemical approach to solve problems traditionally for genetic and statistical analysis, the method provides a quick and cost-efficient evaluation of library diversity for intermediate steps through a selection process.

Second generation DNA-encoded dynamic combinatorial chemical libraries.

We present a DNA-encoded chemical library, which allows dynamic selection followed by ligation of the encoding strands. As a chemical approach to mimic the genetic recombination process of adaptive immunity, the technology led to an enhanced enrichment factor and signal-to-noise ratio compared to static libraries.

Pharmacophore Nanoarrays on DNA Origami Substrates as a Single-Molecule Assay for Fragment-Based Drug Discovery.

The rational combination of techniques from the fields of nanotechnology, single molecule detection, and lead discovery could provide elegant solutions to enhance the throughput of drug screening. We have synthesized nanoarrays of small pharmacophores on DNA origami substrates that are displayed either as individual ligands or as fragment pairs and thereby reduced the feature size by several orders of magnitude, as compared with standard microarray techniques. Atomic force microscopy-based single-molecule detection allowed us to distinguish potent protein-ligand interactions from weak binders. Several independent binding events, that is, strong, weak, symmetric bidentate, and asymmetric bidentate binding are directly visualized and evaluated. We apply this method to the discovery of bidentate trypsin binders based on benzamidine paired with aromatic fragments. Pairing of benzamidine with the dye TAMRA results in tenfold enhancement of the trypsin binding yield.

DNA-Encoded Dynamic Combinatorial Chemical Libraries.

Dynamic combinatorial chemistry (DCC) explores the thermodynamic equilibrium of reversible reactions. Its application in the discovery of protein binders is largely limited by difficulties in the analysis of complex reaction mixtures. DNA-encoded chemical library (DECL) technology allows the selection of binders from a mixture of up to billions of different compounds; however, experimental results often show low a signal-to-noise ratio and poor correlation between enrichment factor and binding affinity. Herein we describe the design and application of DNA-encoded dynamic combinatorial chemical libraries (EDCCLs). Our experiments have shown that the EDCCL approach can be used not only to convert monovalent binders into high-affinity bivalent binders, but also to cause remarkably enhanced enrichment of potent bivalent binders by driving their in situ synthesis. We also demonstrate the application of EDCCLs in DNA-templated chemical reactions.

Characterization of DNA-conjugated compounds using a regenerable chip.

DNA-encoded chemical library (DECL) technology has emerged as a new avenue in the field of drug discovery. Combined with high-throughput sequencing, DECL selection experiments can provide not only many lead compounds but also insights into the structure-affinity relationship. However, the counts of individual DNA codes reflect, but cannot be used to precisely rank, the binding affinities of the corresponding compounds to protein targets. Herein, we describe a chip-based approach to realize an automated high-throughput assay for the kinetic characterization of the interaction between DNA-conjugated small organic compounds and protein targets. Importantly, this method can be applied to both single-pharmacophore DECLs and self-assembled dual-pharmacophore DECLs.