BI 885578, a Novel IGF1R/INSR Tyrosine Kinase Inhibitor with Pharmacokinetic Properties That Dissociate Antitumor Efficacy and Perturbation of Glucose Homeostasis.

Inhibition of the IGF1R, INSRA, and INSRB receptor tyrosine kinases represents an attractive approach of pharmacologic intervention in cancer, owing to the roles of the IGF1R and INSRA in promoting cell proliferation and survival. However, the central role of the INSRB isoform in glucose homeostasis suggests that prolonged inhibition of this kinase could result in metabolic toxicity. We describe here the profile of the novel compound BI 885578, a potent and selective ATP-competitive IGF1R/INSR tyrosine kinase inhibitor distinguished by rapid intestinal absorption and a short in vivo half-life as a result of rapid metabolic clearance. BI 885578, administered daily per os, displayed an acceptable tolerability profile in mice at doses that significantly reduced the growth of xenografted human GEO and CL-14 colon carcinoma tumors. We found that treatment with BI 885578 is accompanied by increases in circulating glucose and insulin levels, which in turn leads to compensatory hyperphosphorylation of muscle INSRs and subsequent normalization of blood glucose within a few hours. In contrast, the normalization of IGF1R and INSR phosphorylation in GEO tumors occurs at a much slower rate. In accordance with this, BI 885578 led to a prolonged inhibition of cell proliferation and induction of apoptosis in GEO tumors. We propose that the remarkable therapeutic window observed for BI 885578 is achieved by virtue of the distinctive pharmacokinetic properties of the compound, capitalizing on the physiologic mechanisms of glucose homeostasis and differential levels of IGF1R and INSR expression in tumors and normal tissues.

Combinatorial Consensus Scoring for Ligand-Based Virtual Fragment Screening: A Comparative Case Study for Serotonin 5-HT(3)A, Histamine H(1), and Histamine H(4) Receptors.

In the current study we have evaluated the applicability of ligand-based virtual screening (LBVS) methods for the identification of small fragment-like biologically active molecules using different similarity descriptors and different consensus scoring approaches. For this purpose, we have evaluated the performance of 14 chemical similarity descriptors in retrospective virtual screening studies to discriminate fragment-like ligands of three membrane-bound receptors from fragments that are experimentally determined to have no affinity for these proteins (true inactives). We used a complete fragment affinity data set of experimentally determined ligands and inactives for two G protein-coupled receptors (GPCRs), the histamine H1 receptor (H1R) and the histamine H4 receptor (H4R), and one ligand-gated ion channel (LGIC), the serotonin receptor (5-HT3AR), to validate our retrospective virtual screening studies. We have exhaustively tested consensus scoring strategies that combine the results of multiple actives (group fusion) or combine different similarity descriptors (similarity fusion), and for the first time systematically evaluated different combinations of group fusion and similarity fusion approaches. Our studies show that for these three case study protein targets both consensus scoring approaches can increase virtual screening enrichments compared to single chemical similarity search methods. Our cheminformatics analyses recommend to use a combination of both group fusion and similarity fusion for prospective ligand-based virtual fragment screening.

Bispyrimidines as potent histamine H(4) receptor ligands: delineation of structure-activity relationships and detailed H(4) receptor binding mode.

The basic methylpiperazine moiety is considered a necessary substructure for high histamine H4 receptor (H4R) affinity. This moiety is however also the metabolic hot spot for various classes of H4R ligands (e.g., indolcarboxamides and pyrimidines). We set out to investigate whether mildly basic 2-aminopyrimidines in combination with the appropriate linker can serve as a replacement for the methylpiperazine moiety. In the series of 2-aminopyrimidines, the introduction of an additional 2-aminopyrimidine moiety in combination with the appropriate linker lead to bispyrimidines displaying pKi values for binding the human H4R up to 8.2. Furthermore, the methylpiperazine replacement results in compounds with improved metabolic properties. The attempt to transfer the knowledge generated in the class of bispyrimidines to the indolecarboxamides failed. Combining the derived structure-activity relationships with homology modeling leads to new detailed insights in the molecular aspects of ligand-H4R binding in general and the binding mode of the described bispyrimidines in specific.

Combining quantum mechanical ligand conformation analysis and protein modeling to elucidate GPCR-ligand binding modes.

SAR beyond protein-ligand interactions: By combining structure-affinity relationships, protein-ligand modeling studies, and quantum mechanical calculations, we show that ligand conformational energies and basicity play critical roles in ligand binding to the histamine H4 receptor, a GPCR that plays a key role in inflammation.

Target binding properties and cellular activity of afatinib (BIBW 2992), an irreversible ErbB family blocker.

Deregulation of the ErbB (proto-oncogene B of the avian erythroblastosis virus AEV-H strain) receptor network is well recognized as an oncogenic driver in epithelial cancers. Several targeted drugs have been developed, including antibodies and small-molecule kinase inhibitors, each of them characterized by distinct patterns of ErbB receptor interactions. Understanding the precise pharmacological properties of these compounds is important for optimal use in clinical practice. Afatinib [BIBW 2992; N-[4-[(3-chloro-4-fluorophenyl)amino]-7-[[(3S)-tetrahydro-3-furanyl]oxy]-6-quinazolinyl]-4-(dimethylamino)-2-butenamide] is an ATP-competitive anilinoquinazoline derivative harboring a reactive acrylamide group. It was designed to covalently bind and irreversibly block enzymatically active ErbB receptor family members. Here, we show by X-ray crystallography the covalent binding of afatinib to wild-type epidermal growth factor receptor (EGFR) and by mass spectrometry the covalent interaction with EGFR, EGFRL858R/T790M, human epidermal growth factor receptor 2 (HER2), and ErbB-4. Afatinib potently inhibits the enymatic activity of ErbB-4 (EC50=1 nM) and the proliferation of cancer cell lines driven by multiple ErbB receptor aberrations at concentrations below 100 nM. N-[4-[(3-chloro-4-fluorophenyl)amino]-7-[[(3S)-tetrahydro-3-furanyl]oxy]-6-quinazolinyl]-4-(dimethylamino)-2-butanamide (BI 37781), a close analog of afatinib lacking the acrylamide group and thus incapable of covalent bond formation, had similar potency on cells driven by EGFR or EGFRL858R, but less or no detectable activity on cells expressing EGFRL858R/T790M HER2 or ErbB-4. These results stress the importance of the acrylamide group and show that afatinib differs from approved ErbB targeting agents by irreversibly inhibiting the kinase activity of all ErbB family members. They provide a mechanistic rationale for the distinct pharmacological features of this compound and explain the clinical activity seen in some patients who are resistant to antibody or kinase inhibitor therapy because of secondary mutations or ErbB receptor "reprogramming."

Detailed structure-activity relationship of indolecarboxamides as H4 receptor ligands.

A series of 76 derivatives of the indolecarboxamide 1 were synthesized, which allows a detailed SAR investigation of this well known scaffold. The data enable the definition of a predictive QSAR model which identifies several compounds with an activity comparable to 1. A selection of these new H(4)R antagonists was synthesized and a comparison of predicted and measured values demonstrates the robustness of the model (47-55). In addition to the H(4)-receptor activity general CMC and DMPK properties were investigated. Some of the new analogs are not only excellently soluble, but display a significantly increased half-life in mouse liver microsomes as well. These properties qualify these compounds as a possible new standard for future in vivo studies (e.g 51, 52 and 55). Moreover, the current studies also provide valuable information on the potential receptor ligand interactions between the indolcarboxamides and the H(4)R protein.

Ensemble Rule-Based Classification of Substrates of the Human ABC-Transporter ABCB1 Using Simple Physicochemical Descriptors.

Within the last decades, the detailed knowledge on the impact of membrane bound drug efflux transporters of the ATP binding cassette (ABC) protein family on the pharmacological profile of drugs has enormously increased. Especially, ABCB1 (P-glycoprotein, P-gp, MDR1) has attracted particular interest in medicinal chemistry, since it determines the clinical efficacy, side effects and toxicity risks of drug candidates. Based on this, the development of in silico models that provide rapid and cost-effective screening tools for the classification of substrates and nonsubstrates of ABCB1 is an urgent need in contemporary ADMET profiling. A characteristic hallmark feature of this transporter is its polyspecific ligand recognition pattern. In this study we describe a method for classifying ABCB1 ligands in terms of simple, conjunctive rules (RuleFit) based on interpretable ADMET features. The retrieved results showed that models based on large, very diverse data sets gave better classification performance than models based on smaller, more homogenous training sets. The best model achieved gave a correct classification rate of 0.90 for an external validation set. Furthermore, from the interpretation of the best performing model it could be concluded that in comparison to nonsubstrates ABCB1 substrates generally show a higher number of hydrogen-bond acceptors, are more flexible and exhibit higher logP values.

Predicting ligand interactions with ABC transporters in ADME.

ABC-type drug efflux pumps, e.g., ABCB1 (=P-glycoprotein, =MDR1), ABCC1 (=MRP1), and ABCG2 (=MXR, =BCRP), confer a multi-drug resistance (MDR) phenotype to cancer cells. Furthermore, the important contribution of ABC transporters for bioavailability, distribution, elimination, and blood-brain barrier permeation of drug candidates is increasingly recognized. This review presents an overview on the different computational methods and models pursued to predict ABC transporter substrate properties of drug-like compounds. They encompass ligand-based approaches ranging from 'simple rule'-based efforts to sophisticated machine learning methods. Many of these models show excellent performance for the data sets used. However, due to the complex nature of the applied methods, useful interpretation of the models that can be directly translated into chemical structures by the medicinal chemist is rather difficult. Additionally, very recent and promising attempts in the field of structure-based modeling of ABC transporters, which embody homology modeling as well as recently published X-ray structures of murine ABCB1, will be discussed.

A new generation of anti-histamines: Histamine H4 receptor antagonists on their way to the clinic.

At the turn of the millennium, the DNA sequence encoding the histamine H4 receptor (H4R) was identified in data from human genome databases. Considering the clinical importance of H1R and H2R ligands, and the clinical trials that are ongoing for H3R ligands, the latest addition to the histamine receptor family was noted with interest by the pharmaceutical industry. Initial studies describing the expression of the H4R, and the activity of this receptor in (patho)physiology, suggested that the H4R played a role in the immune system. The introduction of the reference H4R antagonist JNJ-7777120 (Johnson & Johnson Pharmaceutical Research & Development LLC/Abbott Laboratories), and proof of the efficacy of this agent in models of asthma, allergic rhinitis and pruritus, highlighted the H4R as a novel drug target. The first clinical candidates targeting the H4R have been identified, and new H4R antagonists are expected to enter the clinic in the near future.

Clobenpropit analogs as dual activity ligands for the histamine H3 and H4 receptors: synthesis, pharmacological evaluation, and cross-target QSAR studies.

Previous studies have demonstrated that clobenpropit (N-(4-chlorobenzyl)-S-[3-(4(5)-imidazolyl)propyl]isothiourea) binds to both the human histamine H(3) receptor (H(3)R) and H(4) receptor (H(4)R). In this paper, we describe the synthesis and pharmacological characterization of a series of clobenpropit analogs, which vary in the functional group adjacent to the isothiourea moiety in order to study structural requirements for H(3)R and H(4)R ligands. The compounds show moderate to high affinity for both the human H(3)R and H(4)R. Furthermore, the changes in the functional group attached to the isothiourea moiety modulate the intrinsic activity of the ligands at the H(4)R, ranging from neutral antagonism to full agonism. QSAR models have been generated in order to explain the H(3)R and H(4)R affinities.

Discovery of quinazolines as histamine H4 receptor inverse agonists using a scaffold hopping approach.

From a series of small fragments that was designed to probe the histamine H(4) receptor (H(4)R), we previously described quinoxaline-containing fragments that were grown into high affinity H(4)R ligands in a process that was guided by pharmacophore modeling. With a scaffold hopping exercise and using the same in silico models, we now report the identification and optimization of a series of quinazoline-containing H(4)R compounds. This approach led to the discovery of 6-chloro-N-(furan-3-ylmethyl)2-(4-methylpiperazin-1-yl)quinazolin-4-amine (VUF10499, 54) and 6-chloro-2-(4-methylpiperazin-1-yl)-N-(thiophen-2-ylmethyl)quinazolin-4-amine (VUF10497, 55) as potent human H(4)R inverse agonists (pK(i) = 8.12 and 7.57, respectively). Interestingly, both compounds also possess considerable affinity for the human histamine H(1) receptor (H(1)R) and therefore represent a novel class of dual action H(1)R/H(4)R ligands, a profile that potentially leads to added therapeutic benefit. Compounds from this novel series of quinazolines are antagonists at the rat H(4)R and were found to possess anti-inflammatory properties in vivo in the rat.

In silico prediction of substrate properties for ABC-multidrug transporters.

Overexpression of ABC (ATP-binding cassette)-type drug efflux pumps, such as ABCB1, ABCC1 and ABCG2 in cancer cells confers multi-drug resistance (MDR) and represents a major cause of treatment failures in cancer therapy. Furthermore, there is increasing evidence for the important contribution of ABC-transporters to bioavailability, distribution, elimination and blood-brain barrier permeation of drug candidates. This review presents an overview on the different computational methods and models pursued to predict ABC-transporter substrate properties of drug-like compounds. They range from linear discriminant analysis to pharmacophore modelling and machine learning algorithms. Many of these models show a satisfying performance within the study-specific, defined chemical space but general applicability for the whole drug-like chemical space still needs to be proven. First attempts aiming towards selectivity profiling for ligands of the two polyspecific transporters ABCB1 and ABCG2 is also discussed. This might pave the way for a pharmacological profiling of compound series with special focus on their ADMET (absorption, distribution, metabolism, excretion and toxicity) properties.

Phenylalanine 169 in the second extracellular loop of the human histamine H4 receptor is responsible for the difference in agonist binding between human and mouse H4 receptors.

Using the natural variation in histamine H(4) receptor protein sequence, we tried to identify amino acids involved in the binding of H(4) receptor agonists. To this end, we constructed a variety of chimeric human-mouse H(4) receptor proteins to localize the domain responsible for the observed pharmacological differences between human and mouse H(4) receptors in the binding of H(4) receptor agonists, such as histamine, clozapine, and VUF 8430 [S-(2-guanidylethyl)-isothiourea]. After identification of a domain between the top of transmembrane domain 4 and the top of transmembrane domain 5 as being responsible for the differences in agonist affinity between human and mouse H(4)Rs, detailed site-directed mutagenesis studies were performed. These studies identified Phe(169) in the second extracellular loop as the single amino acid responsible for the differences in agonist affinity between the human and mouse H(4)Rs. Phe(169) is part of a Phe-Phe motif, which is also present in the recently crystallized beta(2)-adrenergic receptor. These results point to an important role of the second extracellular loop in the agonist binding to the H(4) receptor and provide a molecular explanation for the species difference between human and mouse H(4) receptors.

Delineation of agonist binding to the human histamine H4 receptor using mutational analysis, homology modeling, and ab initio calculations.

A three-dimensional homology model of the human histamine H 4 receptor was developed to investigate the binding mode of a series of structurally diverse H 4-agonists, i.e. histamine, clozapine, and the recently described selective, nonimidazole agonist VUF 8430. Mutagenesis studies and docking of these ligands in a rhodopsin-based homology model revealed two essential points of interactions in the binding pocket, i.e. Asp3.32 and Glu5.46 (Ballesteros-Weinstein numbering system). It is postulated that Asp3.32 interacts in its anionic state, whereas Glu5.46 interacts in its neutral form. The hypothesis was tested with the point mutations D3.32N and E5.46Q. For the D3.32N no binding affinity toward any of the ligands could be detected. This is in sharp contrast to the E5.46Q mutant, which discriminates between various ligands. The affinity of histamine-like ligands was decreased approximately a 1000-fold, whereas the affinity of all other ligands remained virtually unchanged. The proposed model for agonist binding as well as ab initio calculations for histamine and VUF 8430 explain the observed differences in binding to the H 4R mutants. These studies provide a molecular understanding for the action of a variety of H 4 receptor-ligands. The resulting H 4 receptor model will be the basis for the development of new H 4 receptor-ligands.

Linking agonist binding to histamine H1 receptor activation.

G protein-coupled receptors (GPCRs) constitute a large and functionally diverse family of transmembrane proteins. They are fundamental in the transfer of extracellular stimuli to intracellular signaling pathways and are among the most targeted proteins in drug discovery. The detailed molecular mechanism for agonist-induced activation of rhodopsin-like GPCRs has not yet been described. Using a combination of site-directed mutagenesis and molecular modeling, we characterized important steps in the activation of the human histamine H1 receptor. Both Ser3.36 and Asn7.45 are important links between histamine binding and previously proposed conformational changes in helices 6 and 7. Ser3.36 acts as a rotamer toggle switch that, upon agonist binding, initiates the activation of the receptor through Asn7.45. The proposed transduction involves specific residues that are conserved among rhodopsin-like GPCRs.

Heterocyclic thrombin inhibitors. Part 1: design and synthesis of amidino-phenoxy quinoline derivatives.

Amidino-phenoxy quinoline derivatives represent a new class of potent thrombin inhibitors with good selectivity and remarkably low molecular weight (M(W): 335-391). X-ray analyses of thrombin-bound inhibitors revealed that enzyme inhibition is mainly based on hydrophobic interactions.