E. Lucile White

High Throughput Screening for Inhibitors of Mycobacterium tuberculosis H37Rv

There is an urgent need for the discovery and development of new antitubercular agents that target new biochemical pathways and treat drug resistant forms of the disease. One approach to addressing this need is through high-throughput screening of medicinally relevant libraries against the whole bacterium in order to discover a variety of new, active scaffolds that will stimulate new biological research and drug discovery. Through the Tuberculosis Antimicrobial Acquisition and Coordinating Facility (www.taacf.org), a large, medicinally relevant chemical library was screened against M. tuberculosis strain H37Rv. The screening methods and a medicinal chemistry analysis of the results are reported herein.

Antituberculosis Activity of the Molecular Libraries Screening Center Network Library

There is an urgent need for the discovery and development of new antitubercular agents that target novel biochemical pathways and treat drug-resistant forms of the disease. One approach to addressing this need is through high-throughput screening of drug-like small molecule libraries against the whole bacterium in order to identify a variety of new, active scaffolds that will stimulate additional biological research and drug discovery. Through the Molecular Libraries Screening Center Network, the NIAID Tuberculosis Antimicrobial Acquisition and Coordinating Facility tested a 215,110-compound library against Mycobacterium tuberculosis strain H37Rv. A medicinal chemistry survey of the results from the screening campaign is reported herein.

Thiazolobenzimidazole: Biological and biochemical anti-retroviral activity of a new nonnucleoside reverse transcriptase inhibitor

Thiazolobenzimidazole (NSC 625487) was a highly potent inhibitor of human immunodeficiency virus-induced cell killing and viral replication in a variety of human cell lines, as well as fresh human peripheral blood lymphocytes and macrophages. The compound was active against a panel of biologically diverse laboratory and clinical strains of HIV-1, including the AZT-resistant strain G910-6. However, the agent was inactive against HIV-2 and a pyridinone-resistant strain (A17) of HIV-1, a strain which is cross-resistant to several structurally diverse members of a common pharmacologic class of nonnucleoside reverse transcriptase inhibitors. The compound selectively inhibited HIV-1 reverse transcriptase but not HIV-2 reverse transcriptase. Combinations of thiazolobenzimidazole with either AZT or ddI synergistically inhibited HIV-1 induced cell killing in vitro. Thiazolobenzimidazole also inhibited the replication of the Rauscher murine leukemia retrovirus. Thus, thiazolobenzimidazole is a new active anti-HIV-1 chemotype and may represent a subclass of nonnucleoside reverse transcriptase inhibitors with an enhanced range of anti-retroviral activity.

SJ-3366, a Unique and Highly Potent Nonnucleoside Reverse Transcriptase Inhibitor of Human Immunodeficiency Virus Type 1 (HIV-1) That Also Inhibits HIV-2

ABSTRACT We have identified and characterized a potent new nonnucleoside reverse transcriptase (RT) inhibitor (NNRTI) of human immunodeficiency virus type 1 (HIV-1) that also is active against HIV-2 and which interferes with virus replication by two distinct mechanisms. 1-(3-Cyclopenten-1-yl)methyl-6-(3,5-dimethylbenzoyl)-5-ethyl-2,4-pyrimidinedione (SJ-3366) inhibits HIV-1 replication at concentrations of approximately 1 nM, with a therapeutic index of greater than 4 × 106. The efficacy and toxicity of SJ-3366 are consistent when evaluated with established or fresh human cells, and the compound is equipotent against all strains of HIV-1 evaluated, including syncytium-inducing, non-syncytium-inducing, monocyte/macrophage-tropic, and subtype virus strains. Distinct from other members of the pharmacologic class of NNRTIs, SJ-3366 inhibited laboratory and clinical strains of HIV-2 at a concentration of approximately 150 nM, yielding a therapeutic index of approximately 20,000. Like most NNRTIs, the compound was less active when challenged with HIV-1 strains possessing the Y181C, K103N, and Y188C amino acid changes in the RT and selected for a virus with a Y181C amino acid change in the RT after five tissue culture passages in the presence of the compound. In combination anti-HIV assays with nucleoside and nonnucleoside RT and protease inhibitors, additive interactions occurred with all compounds tested with the exception of dideoxyinosine, with which a synergistic interaction was found. Biochemically, SJ-3366 exhibited aKi value of 3.2 nM, with a mixed mechanism of inhibition against HIV-1 RT, but it did not inhibit HIV-2 RT. SJ-3366 also inhibited the entry of both HIV-1 and HIV-2 into target cells. On the basis of its therapeutic index and multiple mechanisms of anti-HIV action, SJ-3366 represents an exciting new compound for use in HIV-infected individuals.

A TIBO derivative, R82913, is a potent inhibitor of HIV-1 reverse transcriptase with heteropolymer templates.

R82913, (+)-S-4,5,6,7-tetrahydro-9-chloro-5-methyl-6-(3-methyl-2-butenyl)- imidazo[4,5,1-jk][1,4]-benzodiazepin-2(1H)-thione (a TIBO derivative), inhibited the replication of thirteen different strains of HIV-1 in CEM cells with a median IC50 of 0.15 microM. The concentration of compound that killed 50% of the cells was much higher (46 microM), indicating that R82913 has a high selectivity index. R82913 was 20-fold more potent than AZT-TP in the inhibition of HIV-1 reverse transcriptase in an assay using a naturally occurring template (ribosomal RNA) that more accurately resembles native viral RNA than a synthetic homopolymer. With this template, R82913 inhibited HIV-1 reverse transcriptase with an ID50 (0.01 microM) that is equal to, or lower than, the IC50 for this compound in all of our cell culture assays (0.01-0.65 microM). R82913 has no effect on the replication of HIV-2 in CEM cells and does not inhibit the reverse transcriptase from this virus.

Biological and biochemical anti-HIV activity of the benzothiadiazine class of nonnucleoside reverse transcriptase inhibitors

A series of benzothiadiazine derivatives were screened against the human immunodeficiency virus (HIV) and certain structure-activity relationships were defined for anti-HIV activity in this chemical class. The selected representative NSC 287474 was a highly potent inhibitor of HIV-induced cell killing and HIV replication in a variety of human cell lines, as well as in fresh human peripheral blood lymphocytes and macrophages. The compound was active against a panel of biologically diverse laboratory and clinical strains of HIV-1, including the AZT-resistant strain G910-6. However, the agent was inactive against HIV-2, and also against both nevirapine- and pyridinone-resistant strains (N119 and A17) of HIV-1, which are cross-resistant to several structurally diverse nonnucleoside reverse transcriptase inhibitors. The compound selectively inhibited HIV-1 reverse transcriptase, but not HIV-2 reverse transcriptase. Combination of NSC 287474 with AZT synergistically inhibited HIV-1-induced cell killing in vitro. The compound did not inhibit the replication of the Rauscher murine leukemia retrovirus or the simian immunodeficiency virus. The benzothiadiazine class of compounds represents a new active anti-HIV-1 chemotype within the diverse group of nonnucleoside reverse transcriptase inhibitors.

Qualification of the Hemagglutination Inhibition Assay in Support of Pandemic Influenza Vaccine Licensure

ABSTRACT Continued outbreaks of highly pathogenic avian influenza over the past decade have spurred global efforts to develop antivirals and vaccines. As part of vaccine development, standard methods are needed for determining serum antibody titers in response to vaccination. Hemagglutination inhibition (HAI) assays are appropriate for assessing the immunogenicity of pandemic influenza vaccines in support of license approval. We demonstrate that a rigorous qualification of the HAI assay for H5N1 influenza virus, evaluating for precision, intermediate precision, linearity, range, specificity, and robustness, satisfies the intent of regulatory guidance for assay validation despite the lack of availability of specific reference standard antigens and antisera.

Advancing Biological Understanding and Therapeutics Discovery with Small-Molecule Probes

Small-molecule probes can illuminate biological processes and aid in the assessment of emerging therapeutic targets by perturbing biological systems in a manner distinct from other experimental approaches. Despite the tremendous promise of chemical tools for investigating biology and disease, small-molecule probes were unavailable for most targets and pathways as recently as a decade ago. In 2005, the NIH launched the decade-long Molecular Libraries Program with the intent of innovating in and broadening access to small-molecule science. This Perspective describes how novel small-molecule probes identified through the program are enabling the exploration of biological pathways and therapeutic hypotheses not otherwise testable. These experiences illustrate how small-molecule probes can help bridge the chasm between biological research and the development of medicines but also highlight the need to innovate the science of therapeutic discovery.

A Novel Inhibitor of Mycobacterium tuberculosis Pantothenate Synthetase

Pantothenate synthetase (PS; EC 6.3.2.1), encoded by the panC gene, catalyzes the essential adenosine triphosphate (ATP)–dependent condensation of D-pantoate and β-alanine to form pantothenate in bacteria, yeast, and plants; pantothenate is a key precursor for the biosynthesis of coenzyme A (CoA) and acyl carrier protein (ACP). Because the enzyme is absent in mammals and both CoA and ACP are essential cofactors for bacterial growth, PS is an attractive chemotherapeutic target. An automated high-throughput screen was developed to identify drugs that inhibit Mycobacterium tuberculosis PS. The activity of PS was measured spectrophotometrically through an enzymatic cascade involving myokinase, pyruvate kinase, and lactate dehydrogenase. The rate of PS ATP utilization was quantitated by the reduction of absorbance due to the oxidation of NADH to NAD+ by lactate dehydrogenase, which allowed for an internal control to detect interference from compounds that absorb at 340 nm. This coupled enzymatic reaction was used to screen 4080 compounds in a 96-well format. This discussion describes a novel inhibitor of PS that exhibits potential as an antimicrobial agent.

Combining Computational Methods for Hit to Lead Optimization in Mycobacterium Tuberculosis Drug Discovery

ABSTRACTPurposeTuberculosis treatments need to be shorter and overcome drug resistance. Our previous large scale phenotypic high-throughput screening against Mycobacterium tuberculosis (Mtb) has identified 737 active compounds and thousands that are inactive. We have used this data for building computational models as an approach to minimize the number of compounds tested.MethodsA cheminformatics clustering approach followed by Bayesian machine learning models (based on publicly available Mtb screening data) was used to illustrate that application of these models for screening set selections can enrich the hit rate.ResultsIn order to explore chemical diversity around active cluster scaffolds of the dose–response hits obtained from our previous Mtb screens a set of 1924 commercially available molecules have been selected and evaluated for antitubercular activity and cytotoxicity using Vero, THP-1 and HepG2 cell lines with 4.3%, 4.2% and 2.7% hit rates, respectively. We demonstrate that models incorporating antitubercular and cytotoxicity data in Vero cells can significantly enrich the selection of non-toxic actives compared to random selection. Across all cell lines, the Molecular Libraries Small Molecule Repository (MLSMR) and cytotoxicity model identified ~10% of the hits in the top 1% screened (>10 fold enrichment). We also showed that seven out of nine Mtb active compounds from different academic published studies and eight out of eleven Mtb active compounds from a pharmaceutical screen (GSK) would have been identified by these Bayesian models.ConclusionCombining clustering and Bayesian models represents a useful strategy for compound prioritization and hit-to lead optimization of antitubercular agents.