Publications by authors named "Haaksma E"

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.

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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.

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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.

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Background And Purpose: The recently proposed binding mode of 2-aminopyrimidines to the human (h) histamine H₄ receptor suggests that the 2-amino group of these ligands interacts with glutamic acid residue E182(5.46) in the transmembrane (TM) helix 5 of this receptor. Interestingly, substituents at the 2-position of this pyrimidine are also in close proximity to the cysteine residue C98(3.

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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.

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Article Synopsis
  • Deregulation of the ErbB receptor network is linked to tumors in epithelial cancers, leading to the development of targeted therapies like afatinib, which irreversibly inhibits the ErbB receptor family to block cancer growth.
  • Afatinib binds covalently to various ErbB receptors, including EGFR and HER2, demonstrating strong inhibitory effects on cancer cell proliferation at low concentrations.
  • The unique acrylamide group in afatinib sets it apart from similar drugs, providing a mechanism for its potent and irreversible inhibition of ErbB kinases, which correlates with its observed clinical efficacy.
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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).

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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The relationship between the Ser, Thr, and Cys side-chain conformation (chi(1) = g(-), t, g(+)) and the main-chain conformation (phi and psi angles) has been studied in a selection of protein structures that contain alpha-helices. The statistical results show that the g(-) conformation of both Ser and Thr residues decreases their phi angles and increases their psi angles relative to Ala, used as a control. The additional hydrogen bond formed between the O(gamma) atom of Ser and Thr and the i-3 or i-4 peptide carbonyl oxygen induces or stabilizes a bending angle in the helix 3-4 degrees larger than for Ala.

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We present a computational procedure aimed at understanding enzyme selectivity and guiding the design of drugs with respect to selectivity. It starts from a set of 3D structures of the target proteins characterized by the program GRID. In the multivariate description proposed, the variables are organized and scaled in a different way than previously published methodologies.

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Factor Xa is a serine protease which activates thrombin and plays a key regulatory role in the blood-coagulation cascade. Factor Xa is at the crossroads of the extrinsic and intrinsic pathways of coagulation and, hence, has become an important target for the design of anti-thrombotics (inhibitors). It is not known to be involved in other processes than hemostasis and its binding site is different to that of other serine proteases, thus facilitating selective inhibition.

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We present a computational protocol which uses the known three-dimensional structure of a target enzyme to identify possible ligands from databases of compounds with low molecular weight. This is accomplished by first mapping the essential interactions in the binding site with the program GRID. The resulting regions of favorable interaction between target and ligand are translated into a database query, and with UNITY a flexible 3D database search is performed.

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A theoretical study was performed to elucidate the mode of interaction of the histamine H2-agonist dimaprit with the histamine H2-receptor. For this purpose receptor mapping techniques, including ab initio energy calculations, geometry optimizations and molecular electrostatic potential calculations (MEPs), have been used. The characteristics of dimaprit were compared to those of histamine for which the points of interaction with the H2-receptor are known, as well as its bioactive conformation.

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In this review the three main types of histamine receptors are discussed together with their specific ligands. For the classical H1-receptors much emphasis is put on the mechanism by which the receptor is stimulated. For the H1- and H2-receptor the review includes information on the several models available for establishing agonistic or antagonistic activity.

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