Structure‐Based and Fragment‐Based GPCR Drug Discovery

G protein‐coupled receptors (GPCRs) are an important family of membrane proteins; historically, drug discovery in this target class has been fruitful, with many of the world’s top‐selling drugs being GPCR modulators. Until recently, the modern techniques of structure‐ and fragment‐based drug discovery had not been fully applied to GPCRs, primarily because of the instability of these proteins when isolated from their cell membrane environments. Recent advances in receptor stabilisation have facilitated major advances in GPCR structural biology over the past six years, with 21 new receptor targets successfully crystallised with one or more ligands. The dramatic increase in GPCR structural information has yielded an increased use of structure‐based methods for hit identification and progression, which are reviewed herein. Additionally, a number of fragment‐based drug discovery techniques have been validated for use with GPCRs in recent years; these approaches and their use in hit identification are reviewed.     

Discovery of Tyrosine Kinase Inhibitors by Docking into an Inactive Kinase Conformation Generated by Molecular Dynamics

Several small molecules that bind to the inactive DFG‐out conformation of tyrosine kinases (called type II inhibitors) have shown a good selectivity profile over other kinase targets. To obtain a set of DFG‐out structures, we performed an explicit solvent molecular dynamics (MD) simulation of the complex of the catalytic domain of a tyrosine kinase receptor, ephrin type‐A receptor 3 (EphA3), and a manually docked type II inhibitor. Automatic docking of four previously reported type II inhibitors was used to select a single snapshot from the MD trajectory for virtual screening. High‐throughput docking of a pharmacophore‐tailored library of 175 000 molecules resulted in about 4 million poses, which were further filtered by van der Waals efficiency and ranked according to a force‐field‐based energy function. Notably, around 20 % of the compounds with predicted binding energy smaller than ?10 kcal mol^?1 are known type II inhibitors. Moreover, a series of 5‐(piperazine‐1‐yl)isoquinoline derivatives was identified as a novel class of low‐micromolar inhibitors of EphA3 and unphosphorylated Abelson tyrosine kinase (Abl1). The in silico predicted binding mode of the new inhibitors suggested a similar affinity to the gatekeeper mutant T315I of Abl1, which was verified in vitro by using a competition binding assay. Additional evidence for the type II binding mode was obtained by two 300 ns MD simulations of the complex between N‐(3‐chloro‐4‐(difluoromethoxy)phenyl)‐2‐(4‐(8‐nitroisoquinolin‐5‐yl)piperazin‐1‐yl)acetamide and EphA3.     

Fragment‐Based Phenotypic Lead Discovery: Cell‐Based Assay to Target Leishmaniasis

A rapid and practical approach for the discovery of new chemical matter for targeting pathogens and diseases is described. Fragment‐based phenotypic lead discovery (FPLD) combines aspects of traditional fragment‐based lead discovery (FBLD), which involves the screening of small‐molecule fragment libraries to target specific proteins, with phenotypic lead discovery (PLD), which typically involves the screening of drug‐like compounds in cell‐based assays. To enable FPLD, a diverse library of fragments was first designed, assembled, and curated. This library of soluble, low‐molecular‐weight compounds was then pooled to expedite screening. Axenic cultures of Leishmania promastigotes were screened, and single hits were then tested for leishmanicidal activity against intracellular amastigote forms in infected murine bone‐marrow‐derived macrophages without evidence of toxicity toward mammalian cells. These studies demonstrate that FPLD can be a rapid and effective means to discover hits that can serve as leads for further medicinal chemistry purposes or as tool compounds for identifying known or novel targets.     

Fueling Open‐Source Drug Discovery: 177 Small‐Molecule Leads against Tuberculosis

With the aim of fuelling open‐source, translational, early‐stage drug discovery activities, the results of the recently completed antimycobacterial phenotypic screening campaign against Mycobacterium bovis BCG with hit confirmation in M. tuberculosis H37Rv were made publicly accessible. A set of 177 potent non‐cytotoxic H37Rv hits was identified and will be made available to maximize the potential impact of the compounds toward a chemical genetics/proteomics exercise, while at the same time providing a plethora of potential starting points for new synthetic lead‐generation activities. Two additional drug‐discovery‐relevant datasets are included: a) a drug‐like property analysis reflecting the latest lead‐like guidelines and b) an early lead‐generation package of the most promising hits within the clusters identified.     

Fragment‐Based Lead Discovery: Screening and Optimizing Fragments for Thermolysin Inhibition

Fragment‐based drug discovery has gained a foothold in today's lead identification processes. We present the application of in silico fragment‐based screening for the discovery of novel lead compounds for the metalloendoproteinase thermolysin. We have chosen thermolysin to validate our screening approach as it is a well‐studied enzyme and serves as a model system for other proteases. A protein‐targeted virtual library was designed and screening was carried out using the program AutoDock. Two fragment hits could be identified. For one of them, the crystal structure in complex with thermolysin is presented. This compound was selected for structure‐based optimization of binding affinity and improvement of ligand efficiency, while concomitantly keeping the fragment‐like properties of the initial hit. Redesigning the zinc coordination group revealed a novel class of fragments possessing K_i values as low as 128 μM , thus they provide a good starting point for further hit evolution in a tailored lead design.     

In silico Optimization of a Fragment‐Based Hit Yields Biologically Active,High‐Efficiency Inhibitors for Glutamate Racemase

A novel lead compound for inhibition of the antibacterial drug target, glutamate racemase (GR), was optimized for both ligand efficiency and lipophilic efficiency. A previously developed hybrid molecular dynamics–docking and scoring scheme, FERM‐SMD, was used to predict relative potencies of potential derivatives prior to chemical synthesis. This scheme was successful in distinguishing between high‐ and low‐affinity binders with minimal experimental structural information, saving time and resources in the process. In vitro potency was increased approximately fourfold against GR from the model organism, B. subtilis. Lead derivatives show two‐ to fourfold increased antimicrobial potency over the parent scaffold. In addition, specificity toward B. subtilis over E. coli and S. aureus depends on the substituent added to the parent scaffold. Finally, insight was gained into the capacity for these compounds to reach the target enzyme in vivo using a bacterial cell wall lysis assay. The outcome of this study is a novel small‐molecule inhibitor of GR with the following characteristics: K_i=2.5 μM , LE=0.45 kcal mol^?1 atom^?1, LiPE=6.0, MIC₅₀=260 μg mL^?1 against B. subtilis, EC_{50, lysis}=520 μg mL^?1 against B. subtilis.     

Discovery of Potent Vascular Endothelial Growth Factor Receptor‐2 Inhibitors

Substantial evidence over the last decades has implicated uncontrolled angiogenesis with various pathological states, including cancer. Vascular endothelial growth factor (VEGF) plays a critical role in its regulation. Because the tyrosine kinase VEGF receptor‐2 (VEGFR‐2) is the major mediator of the mitogenic, angiogenic, and permeability‐enhancing effects of VEGF, it has become one of the most profound anti‐angiogenesis targets. Inspired by the anthranilamide class of VEGFR‐2 inhibitors, we performed a computational analysis of some potent representative members, using docking and molecular dynamics calculations. Based on the observations drawn from introducing the effect of the receptor's flexibility in implicit aqueous environment, we designed, synthesized, and characterized several new analogues of related scaffolds with modifications in their steric and electronic characteristics. In vitro evaluation of these compounds revealed several novel VEGFR‐2 inhibitors that are less cytotoxic and more potent than the parent compounds.     

A Novel Reporter System for Molecular Imaging and High‐Throughput Screening of Anticancer Drugs

Apoptosis is irreversible programmed cell death, characterized by a cellular cascade activation of caspase 3, which subsequently degrades proteins and other components of cells with a motif sequence. Here we report a novel reporter system to detect apoptosis, growth arrest, and cell death based on controlled and self‐amplified protein degradation. The key element of the reporter system is an apoptotic sensor chimerical protein which consists of three components: procaspase 3, ubiquitin (Ub), and a strong consensus sequence of N‐degron. Between each of these units is a DEVD (Asp‐Glu‐Val‐Asp) sequence, which acts as the cleavage target of caspase 3. This non‐conventional signal loss approach is much more sensitive than other native methods that are based on signal gain. The superior sensitivity is demonstrated by its effective application in 386‐well high‐throughput screening (HTS) with low drug concentrations and a short incubation time. The HTS selection process using this reporter system is very simple and economic. The simplicity eliminates potential errors introduced by multiple steps; there is no need for any substrate. Furthermore, the cells in the assay need not be disrupted, and the morphology of the cells can provide additional information on mechanisms. After HTS, the intact cells can also be used for other analytic analysis. This system thus has a potentially important role in the discovery and development of new anticancer drugs. It also appears to be very versatile, can be used both in vitro and in vivo with different linked reporter genes, and can be used for a variety of imaging applications.     

Discovery of Novel Allosteric Non‐Bisphosphonate Inhibitors of Farnesyl Pyrophosphate Synthase by Integrated Lead Finding

Farnesyl pyrophosphate synthase (FPPS) is an established target for the treatment of bone diseases, but also shows promise as an anticancer and anti‐infective drug target. Currently available anti‐FPPS drugs are active‐site‐directed bisphosphonate inhibitors, the peculiar pharmacological profile of which is inadequate for therapeutic indications beyond bone diseases. The recent discovery of an allosteric binding site has paved the way toward the development of novel non‐bisphosphonate FPPS inhibitors with broader therapeutic potential, notably as immunomodulators in oncology. Herein we report the discovery, by an integrated lead finding approach, of two new chemical classes of allosteric FPPS inhibitors that belong to the salicylic acid and quinoline chemotypes. We present their synthesis, biochemical and cellular activities, structure–activity relationships, and provide X‐ray structures of several representative FPPS complexes. These novel allosteric FPPS inhibitors are devoid of any affinity for bone mineral and could serve as leads to evaluate their potential in none‐bone diseases.     

Structure‐Based and in silico Design of Hsp90 Inhibitors

The molecular chaperone Hsp90 is responsible for activation and stabilization of several oncoproteins in cancer cells, and has emerged as an important target in cancer treatment because of this pivotal role. In recent years, interests have arisen around structure‐based design of small molecules aimed at inhibiting the chaperone activity of Hsp90. In this review, we illustrate the recent advances in structure‐based and in silico strategies aimed at discovering and optimizing Hsp90 inhibitors.     

Structure–Activity Relationships and Molecular Docking of Novel Dihydropyrimidine‐Based Mitotic Eg5 Inhibitors

Dihydropyrimidine‐based compounds belong to the first discovered inhibitors of the human mitotic kinesin Eg5. Although they are used by many research groups as model compounds for chemical genetics, considerably less emphasis has been placed on the improvement of this type of inhibitor, with the exception of two recent studies. Dihydropyrimidines can be divided into class I (analogues that bind in the S configuration) and class II type inhibitors, which bind in the R configuration. Herein we report the synthesis and optimization of novel class II type dihydropyrimidines using a combination of in vitro and docking techniques.     

Using a Fragment‐Based Approach To Target Protein–Protein Interactions

The ability to identify inhibitors of protein–protein interactions represents a major challenge in modern drug discovery and in the development of tools for chemical biology. In recent years, fragment‐based approaches have emerged as a new methodology in drug discovery; however, few examples of small molecules that are active against chemotherapeutic targets have been published. Herein, we describe the fragment‐based approach of targeting the interaction between the tumour suppressor BRCA2 and the recombination enzyme RAD51; it makes use of a screening pipeline of biophysical techniques that we expect to be more generally applicable to similar targets. Disruption of this interaction in vivo is hypothesised to give rise to cellular hypersensitivity to radiation and genotoxic drugs. We have used protein engineering to create a monomeric form of RAD51 by humanising a thermostable archaeal orthologue, RadA, and used this protein for fragment screening. The initial fragment hits were thoroughly validated biophysically by isothermal titration calorimetry (ITC) and NMR techniques and observed by X‐ray crystallography to bind in a shallow surface pocket that is occupied in the native complex by the side chain of a phenylalanine from the conserved FxxA interaction motif found in BRCA2. This represents the first report of fragments or any small molecule binding at this protein–protein interaction site.     

Virtual Screening against p50 NF‐κB Transcription Factor for the Identification of Inhibitors of the NF‐κB–DNA Interaction and Expression of NF‐κB Upregulated Genes

Virtual screening against NF‐κB p50 using docking simulations was applied by starting from a three‐dimensional (3D) database containing more than 4.6 million commercially available structures. This database was filtered by specifying a subset of commercially available compounds sharing a (2E,Z)‐3‐(2‐hydroxyphenyl)‐2‐propenoate substructure and relevant druglike properties. Docking to p50 NF‐κB was performed with a test set of six known inhibitors of NF‐κB–DNA interactions. In agreement with docking results, the highest‐scored compound displayed a high level of inhibitory activity in electrophoretic mobility shift assay (EMSA) experiments (inhibition of NF‐κB–DNA interactions) and on biological functions dependent on NF‐κB activity (inhibition of IL‐8 gene expression in cystic fibrosis IB3‐1 cells). We found that this in silico screening approach is suitable for the identification of low‐molecular‐weight compounds that inhibit NF‐κB–DNA interactions and NF‐κB‐dependent functions. Information deduced from the discovery of the new lead compound and its binding mode could result in further lead optimization resulting in more potent NF‐κB inhibitors.     

Fragment‐Based Discovery of 5‐Arylisatin‐Based Inhibitors of Matrix Metalloproteinases 2 and 13

Matrix metalloproteinases (MMPs) are well‐established targets for several pathologies. In particular, MMP‐2 and MMP‐13 play a prominent role in cancer progression. In this study, a structure‐based screening campaign was applied to prioritize metalloproteinase‐oriented fragments. This computational model was applied to a representative fragment set from the publically available EDASA Scientific compound library. These fragments were prioritized, and the top‐ranking hits were tested in a biological assay to validate the model. Two scaffolds showed consistent activity in the assay, and the isatin‐based compounds were the most interesting. These latter fragments have significant potential as tools for the design and realization of novel MMP inhibitors. In addition to their micromolar activity, the chemical synthesis affords flexible and creative access to their analogues.     

On‐Chip Fragment‐Based Approach for Discovery of High‐Affinity Bivalent Inhibitors

Covalent bonds not required : We describe a novel approach in which the concepts of fragment‐based ligand discovery are combined with chemical array techniques to yield bivalent inhibitors. A pair of fragments is mixed and covalently attached to a glass slide by photolinking immobilization. The method does not require the compounds to have specific functional groups, and tedious steps for protein purification are avoided. Thus, the on‐chip fragment‐based approach is relatively simple and efficient for obtaining high‐affinity ligands.