Targeted Compound Libraries Research Articles

Transient Inhibition of ATM Kinase Is Sufficient to Enhance Cellular Sensitivity to Ionizing Radiation

In response to DNA damage, the ATM protein kinase activates signal transduction pathways essential for coordinating cell cycle progression with DNA repair. In the human disease ataxia-telangiectasia, mutation of the ATM gene results in multiple cellular defects, including enhanced sensitivity to ionizing radiation (IR). This phenotype highlights ATM as a potential target for novel inhibitors that could be used to enhance tumor cell sensitivity to radiotherapy. A targeted compound library was screened for potential inhibitors of the ATM kinase, and CP466722 was identified. The compound is nontoxic and does not inhibit phosphatidylinositol 3-kinase (PI3K) or PI3K-like protein kinase family members in cells. CP466722 inhibited cellular ATM-dependent phosphorylation events and disruption of ATM function resulted in characteristic cell cycle checkpoint defects. Inhibition of cellular ATM kinase activity was rapidly and completely reversed by removing CP466722. Interestingly, clonogenic survival assays showed that transient inhibition of ATM is sufficient to sensitize cells to IR and suggests that therapeutic radiosensitization may only require ATM inhibition for short periods of time. The ability of CP466722 to rapidly and reversibly regulate ATM activity provides a new tool to ask questions about ATM function that could not easily be addressed using genetic models or RNA interference technologies.

The Design, Synthesis and Screening of a Muscarinic Acetylcholine Receptor Targeted Compound Library

Potent new agonists of the insect muscarinic acetylcholine receptor (mAChR) have been discovered by synthesizing and screening a library of 225 oxime ether amines. Library evaluation was facilitated by the development of a high throughput test enabling the rapid determination of muscarinic agonist activity. The most interesting compounds were the thiadiazole 17 and the isoxazole 24 which were potent muscarinic agonists (EC50 13 and 21 nM, respectively) and showed lead levels of insecticidal activity.

Application of robotics to steady state enzyme kinetics: analysis of tight-binding inhibitors of dipeptidyl peptidase IV

Using available commercial robotics and instrumentation, we developed a fully automated and rigorous steady state enzyme kinetic assay for dipeptidyl peptidase IV (DPP IV; E.C. 3.4.14.5). The automated assay was validated with isoleucyl thiazolidide, a potent inhibitor of DPP IV with K is=110 nM. Signal window analysis indicated that the assay had a 98% probability of detecting an inhibitor yielding 15% inhibition, with a predicted false positive rate of 0.13%. A mechanistic inhibition version of the automated assay was validated with isoleucyl 4-cyanothiazolidide, a very potent inhibitor of DPP IV. Isoleucyl 4-cyanothiazolidide was a competitive inhibitor of purified porcine DPP IV with K is=1 nM. Similar K is values were obtained for purified rat DPP IV and for DPP IV activity in human plasma from normal and diabetic donors. The pH dependence of K is for isoleucyl 4-cyanothiazolidide yielded a bell-shaped profile, with p K a=5.0 and p K b=7.6. To date, over 100,000 data points have been generated in profiling targeted compound libraries and in the analysis of tight-binding inhibitors of DPP IV. The data also show that robotic analysis is capable of producing full mechanistic inhibition analysis in a timely fashion to support drug discovery.

Classification scheme for the design of serine protease targeted compound libraries.

The development of a scoring scheme for the classification of molecules into serine protease (SP) actives and inactives is described. The method employed a set of pre-selected descriptors for encoding the molecular structures, and a trained neural network for classifying the molecules. The molecular requirements were profiled and validated by using available databases of SP- and non-SP-active agents [1,439 diverse SP-active molecules, and 5,131 diverse non-SP-active molecules from the Ensemble Database (Prous Science, 2002)] and Sensitivity Analysis. The method enables an efficient qualification or disqualification of a molecule as a potential serine protease ligand. It represents a useful tool for constraining the size of virtual libraries that will help accelerate the development of new serine protease active drugs.

Current practices in generation of small molecule new leads.

The current drug discovery processes in many pharmaceutical companies require large and growing collections of high quality lead structures for use in high throughput screening assays. Collections of small molecules with diverse structures and "drug-like" properties have, in the past, been acquired by several means: by archive of previous internal lead optimization efforts, by purchase from compound vendors, and by union of separate collections following company mergers. More recently, many drug discovery companies have established dedicated efforts to effect synthesis by internal and/or outsourcing efforts of targeted compound libraries for new lead generation. Although high throughput/combinatorial chemistry is an important component in the process of new lead generation, the selection of library designs for synthesis and the subsequent design of library members has evolved to a new level of challenge and importance. The potential benefits of screening multiple small molecule compound library designs against multiple biological targets offers substantial opportunity to discover new lead structures. Subsequent optimization of such compounds is often accelerated because of the structure-activity relationship (SAR) information encoded in these lead generation libraries. Lead optimization is often facilitated due to the ready applicability of high-throughput chemistry (HTC) methods for follow-up synthesis. Some of the strategies, trends, and critical issues central to the success of lead generation processes are discussed below.