Unmodified methodologies in target discovery for small molecule drugs: A rising star

Target discovery, involving target identification and validation, is the prerequisite for drug discovery and screening. Novel methodologies and technologies for the precise discovery and confirmation of drug targets are powerful tools in understanding the disease, looking for a drug and elucidating the mechanism of drug treatment. Among the common target identification and confirmation methods, the modified method is time-consuming and laborious, which may reduce or change the activity of natural products. The unmodified methods developed in recent years without chemical modification have gradually become an important means of studying drug targets. A wide range of unmodified approaches have been reported, introducing and analyzing the recent emerging methodologies and technologies. This review highlights the advantages and limitations of these methods for the application of drug target discovery and presents an overview of their contributions to the target discovery of small molecule drugs. The application and future development trends of methodologies in target discovery are also prospected to provide a reference for drug target research.     

Evolutionary chemical space exploration for functional materials: computational organic semiconductor discovery

Computational methods, including crystal structure and property prediction, have the potential to accelerate the materials discovery process by enabling structure prediction and screening of possible molecular building blocks prior to their synthesis. However, the discovery of new functional molecular materials is still limited by the need to identify promising molecules from a vast chemical space. We describe an evolutionary method which explores a user specified region of chemical space to identify promising molecules, which are subsequently evaluated using crystal structure prediction. We demonstrate the methods for the exploration of aza-substituted pentacenes with the aim of finding small molecule organic semiconductors with high charge carrier mobilities, where the space of possible substitution patterns is too large to exhaustively search using a high throughput approach. The method efficiently explores this large space, typically requiring calculations on only ∼1% of molecules during a search. The results reveal two promising structural motifs: aza-substituted naphtho[1,2-a]anthracenes with reorganisation energies as low as pentacene and a series of pyridazine-based molecules having both low reorganisation energies and high electron affinities.

Evolutionary optimisation and crystal structure prediction are used to explore chemical space for molecular organic semiconductors.     

Antibody purification by affinity chromatography based on small molecule affinity ligands identified by SPR-based screening of chemical microarrays

Libraries of small molecules were searched for Fc-fragment selective binders to a recombinant human antibody ("MDJ8″, IgG(1)-subtype, κ-light chain) via SPR-based screening of chemical microarrays. Identified hit structures were immobilised on NHS-activated Sepharose for the determination of MDJ8 binding and selectivity versus typical proteineous impurities represented by the spend cell culture supernatant. Columns were packed and the most promising ligands further characterized in terms of binding constants, binding kinetics, as well as dynamic and equilibrium binding capacities. The performance of the best ligand, 2A10, was compared to standard Protein A chromatography. Using ligand 2A10 antibody capture from unprocessed cell culture supernatants was possible at similar recovery yield (>90%), purity (>80%), and eluting concentration (approximately 1 g/L) as with Protein A. Affinity constants (K(d)) of 2A10 were an order of magnitude higher than for the Protein A material, but still in the nM-range, while maximum binding capacities and binding kinetics were in the same order of magnitude. Ligand 2A10 was also able to capture a murine monoclonal antibody, again with similar efficiency as Protein A, as well as a number of humanised therapeutic antibodies. Antibody elution from the 2A10 column was possible using the Protein A standard protocol, i.e. 100mM glycine HCl pH 3.0, but also at near physiological pH, when some organic solvent or modifiers were present. Ligand 2A10 thus constitutes a cheaper, more robust alternative to Protein A as possible generic antibody binder. Moreover, the outlined approach to ligand selection could in principle by used to create suitable affinity ligands for other high value biotech products.     

Defining Cdk5 ligand chemical space with small molecule inhibitors of tau phosphorylation

Cyclin-dependent kinase 5 (Cdk5) is widely viewed as a possible target for a wide variety of neurological disorders. One pathological role attributed to Cdk5 is the abnormal phosphorylation of tau that may lead to the neuronal inclusions known as neurofibrillary tangles. A high through-put screen for inhibitors of Cdk5-mediated phosphorylation of tau resulted in three compounds with distinct mechanisms of action. One compound is competitive with ATP and has a high affinity for the Cdk5 ATP binding pocket. The second compound also competes with ATP, is noncompetitive with tau, and (uniquely among this class of inhibitors) displaces adjacent amino acid residues to make room for the nitrophenyl group. A third compound did not compete with ATP, but did compete with tau at low concentrations of tau. The SAR and charge optimization derived from cocrystals of the two ATP competitors along with cocrystals of three other ATP competitors map out the importance of filling and properly charging different regions of the ATP binding pocket. Taken together, this analysis shows how the structure of Cdk5 constrains the space of potential inhibitors and reveals a pocket unfilled in all of the structures. These leads could be a starting point for structure-based drug design of more potent and selective inhibitors.     

A chondroitin sulfate small molecule that stimulates neuronal growth

Chondroitin sulfate glycosaminoglycans are sulfated polysaccharides involved in cell division, neuronal development, and spinal cord injury. Here, we report the synthesis and identification of a chondroitin sulfate tetrasaccharide that stimulates the growth and differentiation of neurons. These studies represent the first, direct investigations into the structure-activity relationships of chondroitin sulfate using homogeneous synthetic molecules and define a tetrasaccharide as a minimal motif required for activity.     

Towards the systematic exploration of chemical space

The discovery of biologically active small molecules is shaped, in large part, by their synthetic (or biosynthetic accessibility). However, chemists' historical exploration of chemical space has been highly uneven and unsystematic. This article describes synthetic strategies that have emerged that may allow chemical space to be explored more systematically. Particular emphasis is placed on approaches that allow the scaffolds of small molecules to be varied combinatorially. In addition, some examples of bioactive small molecules that have been discovered by screening diverse small molecule libraries are highlighted. The authors comment on the likely scope of each of the strategies to deliver skeletally-diverse libraries. In addition, the authors highlight some key challenges for the future: the extension to libraries based on hundreds of distinct scaffolds; and the development of approaches that focus overtly on drug-relevant chemical space.     

Nonaqueous affinity capillary electrophoresis investigation of small molecule molecular recognition

The conditional binding constants for a bis-guanidinium-like receptor and a series of dicarboxylate ligands have been determined in two buffer/solvent systems, namely 25 mM ammonium acetate/1% acetic acid in acetonitrile/methanol (7:3 v:v) and 30 mM N-methyl morpholine/15 mM methanesulfonic acid in acetonitrile/methanol (9:1 v:v). The latter buffer has not been applied before in capillary electrophoresis. The binding constants in both solvent systems decrease as the dicarboxylate length increases. The binding constants are larger in the less competitive N-methyl morpholine buffer. The dicarboxylates associate only weakly with a dicationic analog of the receptor, p-xylyl trimethylammonium, which is not a hydrogen bond donor.     

小分子靶标的核酸适配体筛选的研究进展

核酸适配体(aptamer)是通过指数富集配体系统进化(SELEX)技术筛选得到的核糖核酸(RNA)或单链脱氧核糖核酸(ssDNA)。核酸适配体通过高亲和力特异性地识别小分子、蛋白质、细胞、微生物等多种靶标,在生物、医药、食品和环境检测等领域的应用日渐增多。但目前实际可用的核酸适配体有限,其筛选过程复杂,筛选难度大,制约了其应用。与生物大分子、细胞和微生物等靶标不同,小分子靶标与核酸分子的结合位点少、亲和力弱,且靶标通常需要固定在载体上。此外,小分子靶标结合核酸形成的复合物与核酸自身的大小、质量、电荷性质等方面差异较小,二者的分离难度大。故小分子靶标的核酸适配体筛选过程与大分子和细胞等复合靶标相比有明显差异,筛选难度更大。因此需要根据其自身结构特点和核酸适配体的应用目的选定靶标或核酸库的固定方法,优化靶标核酸复合物的分离方法。本文介绍了不同类型小分子(具有基团差异的单分子、含相同基团分子和手性分子等)靶标的选择及其核酸适配体的筛选方法,并对核酸库的设计、与靶标结合的核酸的分离方法和亲和作用表征方法进行了介绍,列出了自2008年以来报道的40余种小分子靶标的核酸适配体序列和复合物的平衡解离常数(K_d)。     

Design strategy and bioimaging of small organic molecule multicolor fluorescent probes

Science China Chemistry - Multicolor fluorescent probes based on small organic molecules have the advantages of low cost, good biocompatibility, easily modifiable molecular structures and...     

Prospective exploration of synthetically feasible, medicinally relevant chemical space

We describe a novel approach to direct the exploration of chemical space in an effort to balance synthetic accessibility and medicinal relevancy prior to experimental work. Reaction transforms containing empirical reactivity and compatibility information are dynamically assembled into reaction sequences (vProtocols) utilizing commercially available starting material feedstock. These vProtocols are evolved and optimized by a genetic algorithm, which leverages fitness functions based on predicted properties of generated molecular products. We present the underlying concepts, methodology and initial results of this prospective approach.     

Small molecule affinity fingerprinting. A tool for enzyme family subclassification,target identification,and inhibitor design

Classifying proteins into functionally distinct families based only on primary sequence information remains a difficult task. We describe here a method to generate a large data set of small molecule affinity fingerprints for a group of closely related enzymes, the papain family of cysteine proteases. Binding data was generated for a library of inhibitors based on the ability of each compound to block active-site labeling of the target proteases by a covalent activity based probe (ABP). Clustering algorithms were used to automatically classify a reference group of proteases into subfamilies based on their small molecule affinity fingerprints. This approach was also used to identify cysteine protease targets modified by the ABP in complex proteomes by direct comparison of target affinity fingerprints with those of the reference library of proteases. Finally, experimental data were used to guide the development of a computational method that predicts small molecule inhibitors based on reported crystal structures. This method could ultimately be used with large enzyme families to aid in the design of selective inhibitors of targets based on limited structural/function information.     

A novel small molecule that alters shelterin integrity and triggers a DNA-damage response at telomeres

We describe a novel synthetic small molecule which shows an unprecedented stabilization of the human telomeric G-quadruplex with high selectivity relative to double-stranded DNA. We report that this compound can be used in vitro to inhibit telomerase activity and to uncap human POT1 (protection of telomeres 1) from the telomeric G-overhang. We also show that the small molecule G-quadruplex binder induces a partial alteration of shelterin through POT1 uncapping from telomeres in human HT1080 cancer cells and the presence of gammaH2AX foci colocalized at telomeres.     

An automated method for graph-based chemical space exploration and transition state finding

Algorithms that automatically explore the chemical space have been limited to chemical systems with a low number of atoms due to expensive involved quantum calculations and the large amount of possible reaction pathways. The method described here presents a novel solution to the problem of chemical exploration by generating reaction networks with heuristics based on chemical theory. First, a second version of the reaction network is determined through molecular graph transformations acting upon functional groups of the reacting. Only transformations that break two chemical bonds and form two new ones are considered, leading to a significant performance enhancement compared to previously presented algorithm. Second, energy barriers for this reaction network are estimated through quantum chemical calculations by a growing string method, which can also identify non-octet species missed during the previous step and further define the reaction network. The proposed algorithm has been successfully applied to five different chemical reactions, in all cases identifying the most important reaction pathways.     

A small molecule that induces assembly of a four way DNA junction at low temperature

Small molecules that induce the formation of higher order DNA structures have potential therapeutic and nanotechnology applications. Screening of a click library has identified the first compound to induce the formation of a Holliday junction structure at room temperature without the need for a high temperature annealing step.     

A small molecule suppressor of FK506 that targets the mitochondria and modulates ionic balance in Saccharomyces cerevisiae

FK506 inhibits the evolutionarily conserved, Ca(2+)-dependent phosphatase calcineurin, which in yeast is essential for growth during sodium stress. We undertook a chemical genetic modifier screen to identify small molecules that suppress the ability of FK506 to inhibit yeast growth in high NaCl. One of these small molecule suppressors, SFK1 (suppressor of FK506 1), causes a mitochondrially induced death in low salt, concomitant with the release of reactive oxygen species. Biochemically, SFK1 interacts with Por1p, a channel protein in the outer mitochondrial membrane, suggesting that SFK1 interacts with the mitochondria directly. A genome-wide screen of yeast deletion strains for hypersensitivity to SFK1 yielded several strains with impaired mitochondrial function, as well as several with reduced sodium tolerance. Our data link ionic balance to mitochondrial function and suggest a role for calcineurin in mediating this signaling network.     

Micro-X-ray fluorescence as a general high-throughput screening method for catalyst discovery and small molecule recognition

A powerful high-throughput screening technique is described for the rapid screening of bead-based libraries for catalyst discovery and molecular recognition. Micro-X-ray fluorescence (MXRF) screens materials for elemental composition with mesoscale analysis. This method is nondestructive and requires minimal sample preparation and no special tags for analysis, and the screening time is dependent on the desired sensitivity. The speed, sensitivity, and simplicity of MXRF as a high-throughput screening technique were applied to screen bead-based libraries of oligopeptides for phosphate hydrolysis catalysts and molecular recognition of selective receptors for the degradation products and analogues of chemical warfare agents. This paper demonstrates the analytical or HTS capability of MXRF for combinatorial screening. It is meant only to show the capabilities of MXRF and is not meant as an exhaustive study of the catalyst and molecular recognition systems presented.