Oligonucleotide aptamers that recognize small molecules.

Nucleic acid receptors ('aptamers'), which recognize a large variety of organic molecules of low molecular weight, have been isolated from combinatorial nucleic acid libraries by in vitro selection methods. Structural studies of nucleic acid-small molecule complexes provide insight into both the principles of molecular recognition by this class of biopolymers and the architecture of tertiary motifs in nucleic acid folding. Aptamers that recognize small molecules are increasingly applied as tools in molecular biology, from the detection of oxidative damage in DNA to conditional gene expression and from their use as modules for the engineering of allosteric ribozymes to biosensors.     

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.     

PNA-Based Dynamic Combinatorial Libraries (PDCL) and screening of lectins

Selections from dynamic combinatorial libraries (DCL) benefit from the dynamic nature of the library that can change constitution upon addition of a selection pressure, such as ligands binding to a protein. This technology has been predominantly used with small molecules interacting with each other through reversible covalent interaction. However, application of this technology in biomedical research and drug discovery has been limited by the reversibility of covalent exchange and the analytical deconvolution of small molecule fragments. Here we report a supramolecular approach based on the use of a constant short PNA tag to direct the combinatorial pairing of fragment. This PNA tag yields fast exchange kinetics, while still delivering the benefits of cooperativity, and provides favourable properties for analytical deconvolution by MALDI. A selection from >6,000 assemblies of glycans (mono-, di-, tri-saccharides) targeting AFL, a lectin from pathogenic fungus, yielded a 95 nM assembly, nearly three orders of magnitude better in affinity than the corresponding glycan alone (41 µM).     

Simple method for production of randomized human tenth fibronectin domain III libraries for use in combinatorial screening procedures

Challenges such as the rapid development of detection reagents for emerging or engineered pathogens, the goal of identifying probes for every protein in the human proteome, and the development of therapeutic molecules require systems for development of epitope binding molecules that are faster and cheaper than conventional antibody development. To be practical and effective, antibody mimics must be small, stable molecules that contain exposed loops or surfaces that can be randomized and screened using selective combinatorial assays. The tenth human fibronectin type III domain (10Fn3) fits these requirements and has recently been developed as an antibody mimic for use in detection and therapeutic platforms. Previously described systems for working with 10Fn3 used PCR-based approaches to anneal multiple oligonucleotides to generate randomized 10Fn3 libraries. Here we describe a simplified approach for creating randomized 10Fn3 libraries and report the first use of a T7-based phage display system for screening these libraries.     

Macromolecular therapeutics: emerging strategies for drug discovery in the postgenome era

The postgenome era offers a plethora of potential therapeutic targets. Many of these targets will be addressable using small organic molecules as drug candidates. However, certain aspects of cell function, particularly those that rely on protein-protein or protein-nucleic acid interactions, will be difficult to influence using small molecules. Thus, the possibility of using highly specific macromolecules as potential therapeutic agents is an intriguing concept. Recent developments in several areas of research have brought this possibility closer to fruition. Peptide and nucleic acid combinatorial libraries allow the generation of novel molecules having exquisite selectivity. Structural information and molecular modeling also contribute to the design of new macromolecules with therapeutic potential. Perhaps most importantly, approaches for delivering macromolecules into the cell interior have been developed and applied with considerable success. Thus, the therapeutic use of macromolecules, including oligonucleotides, peptides, and proteins, may be an idea whose time has come.     

Mesofluidic devices for DNA-programmed combinatorial chemistry

Hybrid combinatorial chemistry strategies that use DNA as an information-carrying medium are proving to be powerful tools for molecular discovery. In order to extend these efforts, we present a highly parallel format for DNA-programmed chemical library synthesis. The new format uses a standard microwell plate footprint and is compatible with commercially available automation technology. It can accommodate a wide variety of combinatorial synthetic schemes with up to 384 different building blocks per chemical step. We demonstrate that fluidic routing of DNA populations in the highly parallel format occurs with excellent specificity, and that chemistry on DNA arrayed into 384 well plates proceeds robustly, two requirements for the high-fidelity translation and efficient in vitro evolution of small molecules.     

Combinatorial docking approach for structure prediction of large proteins and multi-molecular assemblies

Protein folding and protein binding are similar processes. In both, structural units combinatorially associate with each other. In the case of folding, we mostly handle relatively small units, building blocks or domains, that are covalently linked. In the case of multi-molecular binding, the subunits are relatively large and are associated only by non-covalent bonds. Experimentally, the difficulty in the determination of the structures of such large assemblies increases with the complex size and the number of components it contains. Computationally, the prediction of the structures of multi-molecular complexes has largely not been addressed, probably owing to the magnitude of the combinatorial complexity of the problem. Current docking algorithms mostly target prediction of pairwise interactions. Here our goal is to predict the structures of multi-unit associations, whether these are chain-connected as in protein folding, or separate disjoint molecules in the assemblies. We assume that the structures of the single units are known, either through experimental determination or modeling. Our aim is to combinatorially assemble these units to predict their structure. To address this problem we have developed CombDock. CombDock is a combinatorial docking algorithm for the structural units assembly problem. Below, we briefly describe the algorithm and present examples of its various applications to folding and to multi-molecular assemblies. To test the robustness of the algorithm, we use inaccurate models of the structural units, derived either from crystal structures of unbound molecules or from modeling of the target sequences. The algorithm has been able to predict near-native arrangements of the input structural units in almost all of the cases, suggesting that a combinatorial approach can overcome the imperfect shape complementarity caused by the inaccuracy of the models. In addition, we further show that through a combinatorial docking strategy it is possible to enhance the predictions of pairwise interactions involved in a multi-molecular assembly.     

The development of high-throughput screening approaches for stem cell engineering

It has become increasingly clear that both soluble factors, such as growth factors, and insoluble factors, including the surfaces on which cells grow, can have controlling effects on stem cell behavior and differentiation. While much progress has been made in biomaterial design and application, the rational design of biomaterial cues to direct stem cell behavior and differentiation remains challenging. Recent advances in automated, high-throughput methods for synthesizing and screening combinatorial biomaterial libraries and cellular microenvironments promise to accelerate the discovery of factors that control stem cell behavior. Specific examples include miniaturized, automated, combinatorial material synthesis and extracellular matrix screening methods as well microarrayed methods for creating local microenvironments of soluble factors, such as small molecules, siRNA, and other signaling molecules.     

用《组合中药学》的理论开发新型中药

我们以现代科技理论为出发点,提出了<组合中药学>新理论体系,试图使中外学者对中药的认识趋于一致.中药的本质就是"组合".无论是单方或复方都是一个庞大的分子库.具有相同或相似功能的分子组合成一个群体.这些群体表现出特定的药效."组合"有三层意思生药的组合、活性分子群的组合与特定疗效的组合.分子群是特定药效功能的物质基础.<组合中药学>就是从<组合分子>水平上研究中药及其药效的物质基础,阐明中药活性部位的相互作用与药效的相互关系及其作用机制.<组合中药学>的三个新概念中药功效分子族具有相似药效作用的一类分子的组合,其骨架及功能团相同或相似.单味中药表征性组合分子单味中药药效的代表性功效分子族,即主要药效分子组合.单味中药非表性组合分子单味中药表征性分子以外的其它功效分子族,即辅助药效分子的组合.<组合中药学>的主要研究范围中药药效的组合分子学基础(植物化学,天然产物);组合分子的药理学基础(分子生物学,细胞生物学,药理学).本文提出了应用<组合中药学>研究新型中药的新方法.     

T-cell epitope prediction with combinatorial peptide libraries.

T cell receptors (TCR) recognize antigenic peptides in complex with the major histocompatibility complex (MHC) molecules and this trimolecular interaction initiates antigen-specific signaling pathways in the responding T lymphocytes. For the study of autoimmune diseases and vaccine development, it is important to identify peptides (epitopes) that can stimulate a given TCR. The use of combinatorial peptide libraries has recently been introduced as a powerful tool for this purpose. A combinatorial library of n-mer peptides is a set of complex mixtures each characterized by one position fixed to be a specified amino acid and all other positions randomized. A given TCR can be fingerprinted by screening a variety of combinatorial libraries using a proliferation assay. Here, we present statistical models for elucidating the recognition profile of a TCR using combinatorial library proliferation assay data and known MHC binding data.     

Combinatorial chemistry and high-throughput screening for the discovery of organocatalysts

In recent years, interest in organocatalysis, the catalysis with small organic molecules, has been revitalized. Independently, high-throughput-screening and combinatorial chemistry became practical methodologies in the discovery of novel catalytic entities. The logical extension of these methodologies to organocatalysis has led to several interesting results, which are highlighted in this review.     

Solving chemical problems through the application of evolutionary principles

Molecular evolution has been widely applied in the laboratory to generate novel biological macromolecules. The principles underlying evolution have more recently been used to address problems in the chemical sciences, including the discovery of functional synthetic small molecules, catalysts, materials and new chemical reactions. The application of these principles in dynamic combinatorial chemistry and in efforts involving small molecule-nucleic acid conjugates has facilitated the evaluation of large numbers of candidate structures or reactions for desired characteristics. These early efforts suggest the promise of pairing evolutionary approaches with synthetic chemistry.     

A single molecule array for digital targeted molecular analyses

We present a new random array format together with a decoding scheme for targeted multiplex digital molecular analyses. DNA samples are analyzed using multiplex sets of padlock or selector probes that create circular DNA molecules upon target recognition. The circularized DNA molecules are amplified through rolling-circle amplification (RCA) to generate amplified single molecules (ASMs). A random array is generated by immobilizing all ASMs on a microscopy glass slide. The ASMs are identified and counted through serial hybridizations of small sets of tag probes, according to a combinatorial decoding scheme. We show that random array format permits at least 10 iterations of hybridization, imaging and dehybridization, a process required for the combinatorial decoding scheme. We further investigated the quantitative dynamic range and precision of the random array format. Finally, as a demonstration, the decoding scheme was applied for multiplex quantitative analysis of genomic loci in samples having verified copy-number variations. Of 31 analyzed loci, all but one were correctly identified and responded according to the known copy-number variations. The decoding strategy is generic in that the target can be any biomolecule which has been encoded into a DNA circle via a molecular probing reaction.     

Artificial ribozymes and deoxyribozymes.

RNA and DNA molecules with catalytic properties have been isolated by in vitro selection from combinatorial nucleic acid libraries. A broad range of chemical reactions is catalyzed and nucleic acids can accelerate bond formation between small organic substrates. The catalytic performance of nucleic acids can be enhanced by the incorporation of additional functional groups.     

Enzymes in the synthesis of bioactive compounds: the prodigious decades

The growing demand for enantiomerically pure pharmaceuticals has impelled research on enzymes as catalysts for asymmetric synthetic transformations. However, the use of enzymes for this purpose was rather limited until the discovery that enzymes can work in organic solvents. Since the advent of the PCR the number of available enzymes has been growing rapidly and the tailor-made biocatalysts are becoming a reality. Thus, it has been possible the use of enzymes for the synthesis of new innovative medicines such as carbohydrates and their incorporation to modern methods for drug development, such as combinatorial chemistry. Finally, the genomic research is allowing the manipulation of whole genomes opening the door to the combinatorial biosynthesis of compounds. In this review, our intention is to highlight the main landmarks that have led to transfer the chemical efficiency shown by the enzymes in the cell to the synthesis of bioactive molecules in the lab during the last 20 years.     

Diversity-oriented synthesis: exploring the intersections between chemistry and biology

Diversity-oriented synthesis (DOS) is an emerging field involving the synthesis of combinatorial libraries of diverse small molecules for biological screening. Rather than being directed toward a single biological target, DOS libraries can be used to identify new ligands for a variety of targets. Several different strategies for library design have been developed to target the biologically relevant regions of chemical structure space. DOS has provided powerful probes to investigate biological mechanisms and also served as a new driving force for advancing synthetic organic chemistry.     

Deletion of mammalian sterile 20-like kinase 1 attenuates neuronal loss and improves locomotor function in a mouse model of spinal cord trauma

Natural product-inspired libraries of molecules with diverse architectures have evolved as one of the most useful tools for discovering lead molecules for drug discovery. In comparison to conventional combinatorial libraries, these molecules have been inferred to perform better in phenotypic screening against complicated targets. Diversity-oriented synthesis (DOS) is a forward directional strategy to access such multifaceted library of molecules. From a successful DOS campaign of a natural product-inspired library, recently a small molecule with spiroindoline motif was identified as a potent anti-breast cancer compound. Herein we report the subcellular studies performed for this molecule on breast cancer cells. Our investigation revealed that it repositions microtubule cytoskeleton and displaces AKAP9 located at the microtubule organization centre. DNA ladder assay and cell cycle experiments further established the molecule as an apoptotic agent. This work further substantiated the amalgamation of DOS-phenotypic screening-sub-cellular studies as a consolidated blueprint for the discovery of potential pharmaceutical drug candidates.     

Electronic Tongue Generating Continuous Recognition Patterns for Protein Analysis

In current protocol, a combinatorial approach has been developed to simplify the design and production of sensing materials for the construction of electronic tongues (eT) for protein analysis. By mixing a small number of simple and easily accessible molecules with different physicochemical properties, used as building blocks (BBs), in varying and controlled proportions and allowing the mixtures to self-assemble on the gold surface of a prism, an array of combinatorial surfaces featuring appropriate properties for protein sensing was created. In this way, a great number of cross-reactive receptors can be rapidly and efficiently obtained. By combining such an array of combinatorial cross-reactive receptors (CoCRRs) with an optical detection system such as surface plasmon resonance imaging (SPRi), the obtained eT can monitor the binding events in real-time and generate continuous recognition patterns including 2D continuous evolution profile (CEP) and 3D continuous evolution landscape (CEL) for samples in liquid. Such an eT system is efficient for discrimination of common purified proteins.