Identification of ZINC02765569: a potent inhibitor of PTP1B by vHTS

The present study describes identification of a novel lead molecule ZINC02765569 for inhibition of protein tyrosine phosphatase 1B (PTP1B) enzyme by a high-throughput virtual screening of Zinc database against catalytic domain of PTP1B employing docking algorithm Glide. The identified hit molecule ZINC02765569 was synthesized and evaluated for in vitro PTP1B enzyme inhibition, in vitro cellular glucose uptake assay, and animal models of hyperglycemia. ZINC02765569 shows promising inhibition of PTP1B enzyme at 10 μm assay, positively up-regulate the cellular glucose uptake in skeletal cell muscle myotubes and SLM/STZ hyperglycemic animal experiments. The novel hit reported here should provide a platform for the further development of its analogs as potential PTP1B enzyme inhibitors.     

结核分枝杆菌泛酸合成酶抑制剂的实验研究

目的:获得特异性靶向结核分枝杆菌泛酸合成酶的抑制剂,为开发针对该靶点的新型抗结核药物奠定基础。方法:重组表达结核分支杆菌H37Rv的泛酸合成酶,以酶活测定体系为基础构建高通量筛选模型,对筛选到的酶抑制剂进行酶促动力学研究,并运用分枝杆菌微量直观快速药敏试验法测定其体外抗结核活性。结果:得到了具有天然活性的泛酸合成酶,建立并优化了酶活测定体系及筛选模型,应用模型筛选得到了具有新结构的抑制剂。评价结果显示,该抑制剂具有显著的体外抗结核活性。结论:获得了具有显著体外抗结核活性的新型泛酸合成酶抑制剂。     

Identification, design and biological evaluation of heterocyclic quinolones targeting Plasmodium falciparum type II NADH:quinone oxidoreductase (PfNDH2)

Following a program undertaken to identify hit compounds against NADH:ubiquinone oxidoreductase (PfNDH2), a novel enzyme target within the malaria parasite Plasmodium falciparum, hit to lead optimization led to identification of CK-2-68, a molecule suitable for further development. In order to reduce ClogP and improve solubility of CK-2-68 incorporation of a variety of heterocycles, within the side chain of the quinolone core, was carried out, and this approach led to a lead compound SL-2-25 (8b). 8b has IC(50)s in the nanomolar range versus both the enzyme and whole cell P. falciparum (IC(50) = 15 nM PfNDH2; IC(50) = 54 nM (3D7 strain of P. falciparum) with notable oral activity of ED(50)/ED(90) of 1.87/4.72 mg/kg versus Plasmodium berghei (NS Strain) in a murine model of malaria when formulated as a phosphate salt. Analogues in this series also demonstrate nanomolar activity against the bc(1) complex of P. falciparum providing the potential added benefit of a dual mechanism of action. The potent oral activity of 2-pyridyl quinolones underlines the potential of this template for further lead optimization studies.     

Molecular docking and high-throughput screening for novel inhibitors of protein tyrosine phosphatase-1B

High-throughput screening (HTS) of compound libraries is used to discover novel leads for drug development. When a structure is available for the target, computer-based screening using molecular docking may also be considered. The two techniques have rarely been used together on the same target. The opportunity to do so presented itself in a project to discover novel inhibitors for the enzyme protein tyrosine phosphatase-1B (PTP1B), a tyrosine phosphatase that has been implicated as a key target for type II diabetes. A corporate library of approximately 400 000 compounds was screened using high-throughput experimental techniques for compounds that inhibited PTP1B. Concurrently, molecular docking was used to screen approximately 235 000 commercially available compounds against the X-ray crystallographic structure of PTP1B, and 365 high-scoring molecules were tested as inhibitors of the enzyme. Of approximately 400 000 molecules tested in the high-throughput experimental assay, 85 (0.021%) inhibited the enzyme with IC50 values less than 100 microM; the most active had an IC50 value of 4.2 microM. Of the 365 molecules suggested by molecular docking, 127 (34.8%) inhibited PTP1B with IC50 values less than 100 microM; the most active of these had an IC50 of 1.7 microM. Structure-based docking therefore enriched the hit rate by 1700-fold over random screening. The hits from both the high-throughput and docking screens were dissimilar from phosphotyrosine, the canonical substrate group for PTP1B; the two hit lists were also very different from each other. Surprisingly, the docking hits were judged to be more druglike than the HTS hits. The diversity of both hit lists and their dissimilarity from each other suggest that docking and HTS may be complementary techniques for lead discovery.     

Latent hit series hidden in high-throughput screening data

Recently a novel method termed compound set enrichment (CSE) has been described that uses the activity distribution of a structural class of compounds to identify hit series from primary screening data. This report describes how this method can be used to identify such hit series, even when no hits according to conventional hit-calling methods for a given structural class are present in the data set. Such series, which were called latent hit series, were identified prospectively in a cell-based screening campaign and also in a series of retrospective analyses of publicly available data sets from PubChem. The assay used for the prospective case study was developed to identify compounds modulating protein translation directed from the internal ribosome entry site (IRES) of the encephalomyocarditis virus (EMCV) genomic RNA. The assay was designed with the ability to detect two assay readouts. The first assay readout monitors compound effects on IRES-directed translation, and the second readout monitors the cell viability and general effect on protein expression. By applying CSE separately to both of them, six validated latent hit series with apparently no effects on cell viability were identified. For each of these series, further testing of new compounds enabled identification of additional hits, also apparently with no effect on cell viability. These validated latent hit series would have been missed by a conventional cutoff-based hit-calling approach. This prospective study further supports CSE as a method for the analysis of high-throughput screening experiments.     

Affinity-based screening techniques: their impact and benefit to increase the number of high quality leads

Importance of the field: The generation of new chemical leads as a starting point for drug development is a critical step in pharmaceutical drug discovery. High-throughput screening and the attached processes have rapidly evolved over the past few years to become one of the main sources for new leads by testing large compound libraries for activity against a target of interest in biochemical in vitro tests using the recombinant protein or cell-based assays. Very recently, the traditional functional assay read-out technologies are being complemented by biophysical methods which directly measure the physical interaction (affinity) between a low molecular weight compound and a target protein. These technologies are receiving increasing attention and application for affinity screening and increasingly complement and augment the more classical activity screens. Today, such biophysical techniques are applied in hit identification as well as later stages such as hit validation, optimization and lead optimization phase.

Areas covered in this review: This review focuses on the principle and application of selected affinity-based screening technologies, especially those which increasingly have been used in different phases of the lead finding process over the past few years. Furthermore, we highlight how throughput, robustness and information content of the discussed methods guide and determine their impact in lead finding and how to make the best use of them.

What the reader will gain: The reader will gain an insight into the very broad spectrum of biophysical affinity screening methods and its high potential to support the generation of new leads. As a consequence, the reader will be able to judge which affinity method is of advantage at a certain lead discovery phase.

Take home message: Biophysical methods are very powerful tools to identify new hits and/or validate/optimize a hit to a lead. Those technologies often offer novel ways of screening complementing available classical screening technologies. An integrated, holistic approach using the combination of functional read-out technologies with different biophysical methods enables a project team to efficiently promote and progress the most promising chemotypes.     

Imidazolopiperazines: hit to lead optimization of new antimalarial agents

Starting from a hit series from a GNF compound library collection and based on a cell-based proliferation assay of Plasmodium falciparum, a novel imidazolopiperazine scaffold was optimized. SAR for this series of compounds is discussed, focusing on optimization of cellular potency against wild-type and drug resistant parasites and improvement of physiochemical and pharmacokinetic properties. The lead compounds in this series showed good potencies in vitro and decent oral exposure levels in vivo. In a Plasmodium berghei mouse infection model, one lead compound lowered the parasitemia level by 99.4% after administration of 100 mg/kg single oral dose and prolonged mice survival by an average of 17.0 days. The lead compounds were also well-tolerated in the preliminary in vitro toxicity studies and represents an interesting lead for drug development.     

Fragment-based lead discovery on G-protein-coupled receptors

Introduction: G-protein-coupled receptors (GPCRs) form one of the largest groups of potential targets for novel medications. Low druggability of many GPCR targets and inefficient sampling of chemical space in high-throughput screening expertise however often hinder discovery of drug discovery leads for GPCRs. Fragment-based drug discovery is an alternative approach to the conventional strategy and has proven its efficiency on several enzyme targets. Based on developments in biophysical screening techniques, receptor stabilization and in vitro assays, virtual and experimental fragment screening and fragment-based lead discovery recently became applicable for GPCR targets.

Areas covered: This article provides a review of the biophysical as well as biological detection techniques suitable to study GPCRs together with their applications to screen fragment libraries and identify fragment-size ligands of cell surface receptors. The article presents several recent examples including both virtual and experimental protocols for fragment hit discovery and early hit to lead progress.

Expert opinion: With the recent progress in biophysical detection techniques, the advantages of fragment-based drug discovery could be exploited for GPCR targets. Structural information on GPCRs will be more abundantly available for early stages of drug discovery projects, providing information on the binding process and efficiently supporting the progression of fragment hit to lead. In silico approaches in combination with biological assays can be used to address structurally challenging GPCRs and confirm biological relevance of interaction early in the drug discovery project.     

Nitrofurans as novel anti-tuberculosis agents: identification, development and evaluation

During a search for new anti-tuberculosis agents, a screen of a commercially available library provided a hit nitrofuranyl amide. This hit was selected for further development due to its potential as an anti-tuberculosis agent with a novel mechanism of action, and its potential for activity against both actively growing and latent bacteria. This review covers the optimization of this lead and the strategies applied for developing this series into anti-tuberculosis agents. To optimize the hit, a series of libraries were synthesized, producing several compounds that showed increased anti-tuberculosis activity along with a strong structure activity relationship. The most active compounds from the first optimization series showed good in vitro anti-tuberculosis activity and limited in vivo efficacy, but their application was restricted due to solubility problems. Therefore, a second generation optimization library was designed and synthesized in order to increase bioavailability and solubility while maintaining good anti-tuberculosis activity. Hydrophilic cyclic secondary amines were substituted to the core scaffold and a benzyl piperazine substitution was found to be most effective in achieving improved solubility and potent anti-tuberculosis activity. However, bioactivity studies of these 2nd generation leads showed that the in vivo anti-tuberculosis activity of these compounds was limited due to rapid metabolism. Consequently, a 3rd generation of compounds was designed and synthesized in which potential sites of metabolism were blocked.     

The Growing Importance of Chirality in 3D Chemical Space Exploration and Modern Drug Discovery Approaches for Hit-ID: Topical Innovations

Modern-day drug discovery is now blessed with a wide range of high-throughput hit identification (hit-ID) strategies that have been successfully validated in recent years, with particular success coming from high-throughput screening, fragment-based lead discovery, and DNA-encoded library screening. As screening efficiency and throughput increases, this enables the viable exploration of increasingly complex three-dimensional (3D) chemical structure space, with a realistic chance of identifying highly specific hit ligands with increased target specificity and reduced attrition rates in preclinical and clinical development. This minireview will explore the impact of an improved design of multifunctionalized, sp³-rich, stereodefined scaffolds on the (virtual) exploration of 3D chemical space and the specific requirements for different hit-ID technologies.     

Discovery and Optimization of a Series of Benzofuran Selective ERAP1 Inhibitors: Biochemical and In Silico Studies

ERAP1 is a key aminopeptidase involved in peptide trimming before major histocompatibility complex (MHC) presentation. A single nucleotide polymorphism (SNP) in the ERAP1 gene can lead to impaired trimming activity and affect ERAP1 function. ERAP1 genetic variations have been linked to an increased susceptibility to cancer and autoimmune disease. Here, we report the discovery of novel ERAP1 inhibitors using a high throughput screening approach. Due to ERAP1 broad substrate specificity, the hit finding strategy included testing inhibitors with a range of biochemical assays. Based on the hit potency, selectivity, and in vitro absorption, distribution, metabolism, excretion, and toxicity, the benzofuran series was selected. Fifteen derivatives were designed and synthesized, the compound potency was improved to the nanomolar range, and the structure–activity relationship supported by modeling studies.     

A chemogenomic approach to discovering target-selective drugs

An approach is described for identifying scaffolds with predefined selectivity profiles directly from a high-quality high-throughput screening data set, and monitoring that selectivity profile throughout the drug discovery process. This approach results in reduced drug development timelines from "hit" to "lead" stage, and should reduce liabilities for a molecule advancing through the development process.     

Biarylmethoxy Nicotinamides As Novel and Specific Inhibitors of Mycobacterium tuberculosis

相似文献   

Biophysics: for HTS hit validation,chemical lead optimization,and beyond

Introduction: There are many challenges to the drug discovery process, including the complexity of the target, its interactions, and how these factors play a role in causing the disease. Traditionally, biophysics has been used for hit validation and chemical lead optimization. With its increased throughput and sensitivity, biophysics is now being applied earlier in this process to empower target characterization and hit finding.

Areas covered: In this article, the authors provide an overview of how biophysics can be utilized to assess the quality of the reagents used in screening assays, to validate potential tool compounds, to test the integrity of screening assays, and to create follow-up strategies for compound characterization. They also briefly discuss the utilization of different biophysical methods in hit validation to help avoid the resource consuming pitfalls caused by the lack of hit overlap between biophysical methods.

Expert opinion: The use of biophysics early on in the drug discovery process has proven crucial to identifying and characterizing targets of complex nature. It also has enabled the identification and classification of small molecules which interact in an allosteric or covalent manner with the target. By applying biophysics in this manner and at the early stages of this process, the chances of finding chemical leads with novel mechanisms of action are increased. In the future, focused screens with biophysics as a primary readout will become increasingly common.     

Discovery of a novel class of orally active trypanocidal N-myristoyltransferase inhibitors

N-Myristoyltransferase (NMT) represents a promising drug target for human African trypanosomiasis (HAT), which is caused by the parasitic protozoa Trypanosoma brucei. We report the optimization of a high throughput screening hit (1) to give a lead molecule DDD85646 (63), which has potent activity against the enzyme (IC(50) = 2 nM) and T. brucei (EC(50) = 2 nM) in culture. The compound has good oral pharmacokinetics and cures rodent models of peripheral HAT infection. This compound provides an excellent tool for validation of T. brucei NMT as a drug target for HAT as well as a valuable lead for further optimization.     

An integrated approach to fragment-based lead generation: philosophy, strategy and case studies from AstraZeneca's drug discovery programmes

Fragment-based lead generation (FBLG) has recently emerged as an alternative to traditional high throughput screening (HTS) to identify initial chemistry starting points for drug discovery programs. In comparison to HTS screening libraries, the screening sets for FBLG tend to contain orders of magnitude fewer compounds, and the compounds themselves are less structurally complex and have lower molecular weight. This report summarises the advent of FBLG within the industry and then describes the FBLG experience at AstraZeneca. We discuss (1) optimising the design of screening libraries, (2) hit detection methodologies, (3) evaluation of hit quality and use of ligand efficiency calculations, and (4) approaches to evolve fragment-based, low complexity hits towards drug-like leads. Furthermore, we exemplify our use of FBLG with case studies in the following drug discovery areas: antibacterial enzyme targets, GPCRs (melanocortin 4 receptor modulators), prostaglandin D2 synthase inhibitors, phosphatase inhibitors (protein tyrosine phosphotase 1B), and protease inhibitors (b-secretase).     

SHAFTS: a hybrid approach for 3D molecular similarity calculation. 2. Prospective case study in the discovery of diverse p90 ribosomal S6 protein kinase 2 inhibitors to suppress cell migration

We described a prospective application of ligand-based virtual screening program SHAFTS to discover novel inhibitors for p90 ribosomal S6 protein kinase 2 (RSK2). Taking the putative 3D conformations of two weakly binding RSK2 NTKD inhibitors as query templates, SHAFTS was used to perform 3D similarity based virtual screening because of a lack of crystal structure of RSK2 protein, thus leading to the identification of several novel scaffolds that would have been missed by conventional 2D fingerprint methods. The most potent hit compounds show low micromolar inhibitory activities against RSK2. In particular, one of the hit compounds exhibits potent antimigration activity against the MDA-MB-231 tumor cell. The results exemplified SHAFTS' application in active enrichment and scaffold hopping, which is of general interest for lead identification in drug discovery endeavors and also provides novel scaffolds that lay the foundation for uncovering new RSK2 regulatory mechanisms.     

Affinity-based screening techniques for enhancing lead discovery

Contemporary, rational small-molecule lead discovery methods, comprising target identification, assay development, high-throughput screening (HTS), hit characterization and medicinal chemistry optimization, dominate early-stage drug discovery strategies in many pharmaceutical companies. There is a growing disparity between the increasing cost of funding these methods and the decreasing number of new drugs reaching the market. New strategies must be adopted to reverse this trend. The use of genomics- and proteomics-based target discovery efforts can aid the process by dramatically increasing the number of novel, more highly validated targets entering the discovery process, but HTS must meet this increased demand with faster, cheaper technologies. Although activity-based screening strategies are typically efficient, allowing one scientist to interrogate tens of thousands of compounds per day, affinity-based screening strategies can allow much greater efficiency in the overall process. Affinity-based methods can play a role in both facilitating the screening of a greater number of targets and in efficiently characterizing the primary hits discovered.