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Huang D, Li W, Zhao Y, Xie C, Luo X, Wu F, Xu Z, Sun Q, Liu G. Design, synthesis, and biological evaluation of 5-(1H-indol-5-yl)isoxazole-3-carboxylic acids as novel xanthine oxidase inhibitors. Eur J Med Chem 2024; 271:116443. [PMID: 38691887 DOI: 10.1016/j.ejmech.2024.116443] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Revised: 04/07/2024] [Accepted: 04/19/2024] [Indexed: 05/03/2024]
Abstract
Xanthine oxidase (XO) is a key enzyme for the production of uric acid in the human body. XO inhibitors (XOIs) are clinically used for the treatment of hyperuricemia and gout, as they can effectively inhibit the production of uric acid. Previous studies indicated that both indole and isoxazole derivatives have good inhibitory effects against XO. Here, we designed and synthesized a novel series of N-5-(1H-indol-5-yl)isoxazole-3-carboxylic acids according to bioisosteric replacement and hybridization strategies. Among the obtained target compounds, compound 6c showed the best inhibitory activity against XO with an IC50 value of 0.13 μM, which was 22-fold higher than that of the classical antigout drug allopurinol (IC50 = 2.93 μM). Structure-activity relationship analysis indicated that the hydrophobic group on the nitrogen atom of the indole ring is essential for the inhibitory potencies of target compounds against XO. Enzyme kinetic studies proved that compound 6c acted as a mixed-type XOI. Molecular docking studies showed that the target compound 6c could not only retain the key interactions similar to febuxostat at the XO binding site but also generate some new interactions, such as two hydrogen bonds between the oxygen atom of the isoxazole ring and the amino acid residues Ser876 and Thr1010. These results indicated that 5-(1H-indol-5-yl)isoxazole-3-carboxylic acid might be an efficacious scaffold for designing novel XOIs and compound 6c has the potential to be used as a lead for further the development of novel anti-gout candidates.
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Affiliation(s)
- Dongqian Huang
- Hubei Key Laboratory of Novel Reactor and Green Chemical Technology, Key Laboratory for Green Chemical Process of Ministry of Education, School of Chemical Engineering and Pharmacy, Wuhan Institute of Technology, Wuhan, 430205, PR China
| | - Wenye Li
- Hubei Key Laboratory of Novel Reactor and Green Chemical Technology, Key Laboratory for Green Chemical Process of Ministry of Education, School of Chemical Engineering and Pharmacy, Wuhan Institute of Technology, Wuhan, 430205, PR China
| | - Yilan Zhao
- Hubei Key Laboratory of Novel Reactor and Green Chemical Technology, Key Laboratory for Green Chemical Process of Ministry of Education, School of Chemical Engineering and Pharmacy, Wuhan Institute of Technology, Wuhan, 430205, PR China
| | - Cheng Xie
- Hubei Key Laboratory of Novel Reactor and Green Chemical Technology, Key Laboratory for Green Chemical Process of Ministry of Education, School of Chemical Engineering and Pharmacy, Wuhan Institute of Technology, Wuhan, 430205, PR China
| | - Xiaogang Luo
- Hubei Key Laboratory of Novel Reactor and Green Chemical Technology, Key Laboratory for Green Chemical Process of Ministry of Education, School of Chemical Engineering and Pharmacy, Wuhan Institute of Technology, Wuhan, 430205, PR China; School of Materials Science and Engineering, Zhengzhou University, No.100 Science Avenue, Zhengzhou City, 450001, Henan Province, PR China
| | - Fengshou Wu
- Hubei Key Laboratory of Novel Reactor and Green Chemical Technology, Key Laboratory for Green Chemical Process of Ministry of Education, School of Chemical Engineering and Pharmacy, Wuhan Institute of Technology, Wuhan, 430205, PR China
| | - Zhiqiang Xu
- Hubei Key Laboratory of Novel Reactor and Green Chemical Technology, Key Laboratory for Green Chemical Process of Ministry of Education, School of Chemical Engineering and Pharmacy, Wuhan Institute of Technology, Wuhan, 430205, PR China
| | - Qi Sun
- Hubei Key Laboratory of Novel Reactor and Green Chemical Technology, Key Laboratory for Green Chemical Process of Ministry of Education, School of Chemical Engineering and Pharmacy, Wuhan Institute of Technology, Wuhan, 430205, PR China.
| | - Genyan Liu
- Hubei Key Laboratory of Novel Reactor and Green Chemical Technology, Key Laboratory for Green Chemical Process of Ministry of Education, School of Chemical Engineering and Pharmacy, Wuhan Institute of Technology, Wuhan, 430205, PR China.
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2
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Mika K, Szafarz M, Bednarski M, Siwek A, Szczepańska K, Kieć-Kononowicz K, Kotańska M. Evaluation of Some Safety Parameters of Dual Histamine H 3 and Sigma-2 Receptor Ligands with Anti-Obesity Potential. Int J Mol Sci 2023; 24:ijms24087499. [PMID: 37108661 PMCID: PMC10138714 DOI: 10.3390/ijms24087499] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 04/16/2023] [Accepted: 04/17/2023] [Indexed: 04/29/2023] Open
Abstract
Many studies have shown the high efficacy of histamine H3 receptor ligands in preventing weight gain. In addition to evaluating the efficacy of future drug candidates, it is very important to assess their safety profile, which is established through numerous tests and preclinical studies. The purpose of the present study was to evaluate the safety of histamine H3/sigma-2 receptor ligands by assessing their effects on locomotor activity and motor coordination, as well as on the cardiac function, blood pressure, and plasma activity of certain cellular enzymes. The ligands tested at a dose of 10 mg/kg b.w. did not cause changes in locomotor activity (except for KSK-74) and did not affect motor coordination. Significant reductions in blood pressure were observed after the administration of compounds KSK-63, KSK-73, and KSK-74, which seems logically related to the increased effect of histamine. Although the results of in vitro studies suggest that the tested ligands can block the human ether-a-go-go-related gene (hERG) potassium channels, they did not affect cardiac parameters in vivo. It should be noted that repeated administration of the tested compounds prevented an increase in the activity of alanine aminotransferase (AlaT) and gamma-glutamyl transpeptidases (gGT) observed in the control animals fed a palatable diet. The obtained results show that the ligands selected for this research are not only effective in preventing weight gain but also demonstrate safety in relation to the evaluated parameters, allowing the compounds to proceed to the next stages of research.
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Affiliation(s)
- Kamil Mika
- Department of Pharmacological Screening, Jagiellonian University Medical College, Medyczna 9, 30-688 Cracow, Poland
| | - Małgorzata Szafarz
- Department of Pharmacokinetics and Physical Pharmacy, Jagiellonian University Medical College, Medyczna 9, 30-688 Cracow, Poland
| | - Marek Bednarski
- Department of Pharmacological Screening, Jagiellonian University Medical College, Medyczna 9, 30-688 Cracow, Poland
| | - Agata Siwek
- Department of Pharmacobiology, Jagiellonian University Medical College, Medyczna 9, 30-688 Cracow, Poland
| | - Katarzyna Szczepańska
- Department of Technology and Biotechnology of Drugs, Faculty of Pharmacy, Jagiellonian University Medical College, Medyczna 9, 30-688 Cracow, Poland
- Department of Medicinal Chemistry, Maj Institute of Pharmacology Polish Academy of Sciences, Smętna 12, 31-343 Cracow, Poland
| | - Katarzyna Kieć-Kononowicz
- Department of Technology and Biotechnology of Drugs, Faculty of Pharmacy, Jagiellonian University Medical College, Medyczna 9, 30-688 Cracow, Poland
| | - Magdalena Kotańska
- Department of Pharmacological Screening, Jagiellonian University Medical College, Medyczna 9, 30-688 Cracow, Poland
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3
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Zhang X, Mao J, Wei M, Qi Y, Zhang JZH. HergSPred: Accurate Classification of hERG Blockers/Nonblockers with Machine-Learning Models. J Chem Inf Model 2022; 62:1830-1839. [DOI: 10.1021/acs.jcim.2c00256] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Affiliation(s)
- Xudong Zhang
- Shanghai Engineering Research Center of Molecular Therapeutics and New Drug Development, School of Chemistry and Molecular Engineering, East China Normal University at Shanghai, Shanghai 200062, China
| | - Jun Mao
- Shanghai Engineering Research Center of Molecular Therapeutics and New Drug Development, School of Chemistry and Molecular Engineering, East China Normal University at Shanghai, Shanghai 200062, China
| | - Min Wei
- Shanghai Engineering Research Center of Molecular Therapeutics and New Drug Development, School of Chemistry and Molecular Engineering, East China Normal University at Shanghai, Shanghai 200062, China
| | - Yifei Qi
- Department of Medicinal Chemistry, School of Pharmacy, Fudan University, Shanghai 201203, China
| | - John Z. H. Zhang
- Shanghai Engineering Research Center of Molecular Therapeutics and New Drug Development, School of Chemistry and Molecular Engineering, East China Normal University at Shanghai, Shanghai 200062, China
- CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
- Faculty of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
- NYU-ECNU Center for Computational Chemistry at NYU, Shanghai 200062, China
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4
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Shan M, Jiang C, Chen J, Qin LP, Qin JJ, Cheng G. Predicting hERG channel blockers with directed message passing neural networks. RSC Adv 2022; 12:3423-3430. [PMID: 35425351 PMCID: PMC8979305 DOI: 10.1039/d1ra07956e] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Accepted: 12/13/2021] [Indexed: 11/30/2022] Open
Abstract
Compounds with human ether-à-go-go related gene (hERG) blockade activity may cause severe cardiotoxicity. Assessing the hERG liability in the early stages of the drug discovery process is important, and the in silico methods for predicting hERG channel blockers are actively pursued. In the present study, the directed message passing neural network (D-MPNN) was applied to construct classification models for identifying hERG blockers based on diverse datasets. Several descriptors and fingerprints were tested along with the D-MPNN model. Among all these combinations, D-MPNN with the moe206 descriptors generated from MOE (D-MPNN + moe206) showed significantly improved performances. The AUC-ROC values of the D-MPNN + moe206 model reached 0.956 ± 0.005 under random split and 0.922 ± 0.015 under scaffold split on Cai's hERG dataset, respectively. Moreover, the comparisons between our models and several recently reported machine learning models were made based on various datasets. Our results indicated that the D-MPNN + moe206 model is among the best classification models. Overall, the excellent performance of the DMPNN + moe206 model achieved in this study highlights its potential application in the discovery of novel and effective hERG blockers. Compounds with human ether-à-go-go related gene (hERG) blockade activity may cause severe cardiotoxicity.![]()
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Affiliation(s)
- Mengyi Shan
- College of Pharmaceutical Sciences, Zhejiang Chinese Medical University Hangzhou 310053 People's Republic of China
| | - Chen Jiang
- College of Pharmaceutical Sciences, Zhejiang Chinese Medical University Hangzhou 310053 People's Republic of China .,Hangzhou Jingchun Trading Co., Ltd. China
| | - Jing Chen
- College of Pharmaceutical Sciences, Zhejiang Chinese Medical University Hangzhou 310053 People's Republic of China .,College of Pharmaceutical Sciences, Zhejiang University Hangzhou Zhejiang 310058 PR China
| | - Lu-Ping Qin
- College of Pharmaceutical Sciences, Zhejiang Chinese Medical University Hangzhou 310053 People's Republic of China
| | - Jiang-Jiang Qin
- The Cancer Hospital of the University of Chinese Academy of Sciences, Zhejiang Cancer Hospital, Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences Hangzhou 310022 China
| | - Gang Cheng
- College of Pharmaceutical Sciences, Zhejiang Chinese Medical University Hangzhou 310053 People's Republic of China
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Matter H, Buning C, Stefanescu DD, Ruf S, Hessler G. Using Graph Databases to Investigate Trends in Structure–Activity Relationship Networks. J Chem Inf Model 2020; 60:6120-6134. [DOI: 10.1021/acs.jcim.0c00947] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Hans Matter
- Sanofi-Aventis Deutschland GmbH, R&D, Integrated Drug Discovery, Industriepark Höchst, D-65926 Frankfurt am Main, Germany
| | - Christian Buning
- Sanofi-Aventis Deutschland GmbH, R&D, Integrated Drug Discovery, Industriepark Höchst, D-65926 Frankfurt am Main, Germany
| | - Dan Dragos Stefanescu
- Sanofi-Aventis Deutschland GmbH, R&D, Integrated Drug Discovery, Industriepark Höchst, D-65926 Frankfurt am Main, Germany
| | - Sven Ruf
- Sanofi-Aventis Deutschland GmbH, R&D, Integrated Drug Discovery, Industriepark Höchst, D-65926 Frankfurt am Main, Germany
| | - Gerhard Hessler
- Sanofi-Aventis Deutschland GmbH, R&D, Integrated Drug Discovery, Industriepark Höchst, D-65926 Frankfurt am Main, Germany
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6
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Łażewska D, Kaleta M, Schwed JS, Karcz T, Mogilski S, Latacz G, Olejarz A, Siwek A, Kubacka M, Lubelska A, Honkisz E, Handzlik J, Filipek B, Stark H, Kieć-Kononowicz K. Biphenyloxy-alkyl-piperidine and azepane derivatives as histamine H 3 receptor ligands. Bioorg Med Chem 2017; 25:5341-5354. [PMID: 28797771 DOI: 10.1016/j.bmc.2017.07.058] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2017] [Revised: 07/25/2017] [Accepted: 07/28/2017] [Indexed: 12/31/2022]
Abstract
Novel biphenyloxy-alkyl derivatives of piperidine and azepane were synthesized and evaluated for their binding properties at the human histamine H3 receptor. Two series of compounds were obtained with a meta- and a para-biphenyl moiety. The alkyl chain spacer contained five and six carbon atoms. The highest affinity among all compounds was shown by 1-(6-(3-phenylphenoxy)hexyl)azepane (13) with a Ki value of 18nM. Two para-biphenyl derivatives, 1-(5-(4-phenylphenoxy)pentyl)piperidine (14; Ki=25nM) and 1-(5-(4-phenylphenoxy)pentyl)azepane (16; Ki=34nM), classified as antagonists in a cAMP accumulation assay (IC50=4 and 9nM, respectively), were studied in detail. Compounds 14 and 16 blocked RAMH-induced dipsogenia in rats (ED50 of 2.72mg/kg and 1.75mg/kg respectively), and showed high selectivity (hH4R vs hH3R>600-fold) and low toxicity (hERG inhibition: IC50>1.70µM; hepatotoxicity IC50>12.5µM; non-mutagenic up to 10µM). Furthermore, the metabolic stability was evaluated in vitro on human liver microsomes (HLMs) and/or rat liver microsomes (RLMs). Metabolites produced were analyzed and tentatively identified by UPLC-MS techniques. The results demonstrated easy hydroxylation of the biphenyl ring.
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Affiliation(s)
- Dorota Łażewska
- Department of Technology and Biotechnology of Drugs, Faculty of Pharmacy, Jagiellonian University Medical College, ul. Medyczna 9, 30-688 Kraków, Poland.
| | - Maria Kaleta
- Department of Technology and Biotechnology of Drugs, Faculty of Pharmacy, Jagiellonian University Medical College, ul. Medyczna 9, 30-688 Kraków, Poland
| | - J Stephan Schwed
- Institute of Pharmaceutical and Medicinal Chemistry, Heinrich-Heine-University Düsseldorf, Universitätsstr. 1, 40225 Düsseldorf, Germany
| | - Tadeusz Karcz
- Department of Technology and Biotechnology of Drugs, Faculty of Pharmacy, Jagiellonian University Medical College, ul. Medyczna 9, 30-688 Kraków, Poland
| | - Szczepan Mogilski
- Department of Pharmacodynamic, Faculty of Pharmacy, Jagiellonian University Medical College, ul. Medyczna 9, 30-688 Kraków, Poland
| | - Gniewomir Latacz
- Department of Technology and Biotechnology of Drugs, Faculty of Pharmacy, Jagiellonian University Medical College, ul. Medyczna 9, 30-688 Kraków, Poland
| | - Agnieszka Olejarz
- Department of Technology and Biotechnology of Drugs, Faculty of Pharmacy, Jagiellonian University Medical College, ul. Medyczna 9, 30-688 Kraków, Poland
| | - Agata Siwek
- Department of Pharmacobiology, Faculty of Pharmacy, Jagiellonian University Medical College, ul. Medyczna 9, 30-688 Kraków, Poland
| | - Monika Kubacka
- Department of Pharmacodynamic, Faculty of Pharmacy, Jagiellonian University Medical College, ul. Medyczna 9, 30-688 Kraków, Poland
| | - Annamaria Lubelska
- Department of Technology and Biotechnology of Drugs, Faculty of Pharmacy, Jagiellonian University Medical College, ul. Medyczna 9, 30-688 Kraków, Poland
| | - Ewelina Honkisz
- Department of Technology and Biotechnology of Drugs, Faculty of Pharmacy, Jagiellonian University Medical College, ul. Medyczna 9, 30-688 Kraków, Poland
| | - Jadwiga Handzlik
- Department of Technology and Biotechnology of Drugs, Faculty of Pharmacy, Jagiellonian University Medical College, ul. Medyczna 9, 30-688 Kraków, Poland
| | - Barbara Filipek
- Department of Pharmacodynamic, Faculty of Pharmacy, Jagiellonian University Medical College, ul. Medyczna 9, 30-688 Kraków, Poland
| | - Holger Stark
- Institute of Pharmaceutical and Medicinal Chemistry, Heinrich-Heine-University Düsseldorf, Universitätsstr. 1, 40225 Düsseldorf, Germany
| | - Katarzyna Kieć-Kononowicz
- Department of Technology and Biotechnology of Drugs, Faculty of Pharmacy, Jagiellonian University Medical College, ul. Medyczna 9, 30-688 Kraków, Poland.
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7
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Chemi G, Gemma S, Campiani G, Brogi S, Butini S, Brindisi M. Computational Tool for Fast in silico Evaluation of hERG K + Channel Affinity. Front Chem 2017; 5:7. [PMID: 28503546 PMCID: PMC5408157 DOI: 10.3389/fchem.2017.00007] [Citation(s) in RCA: 42] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2016] [Accepted: 02/09/2017] [Indexed: 12/12/2022] Open
Abstract
The development of a novel comprehensive approach for the prediction of hERG activity is herein presented. Software Phase has been used to derive a 3D-QSAR model, employing as alignment rule a common pharmacophore built on a subset of 22 highly active compounds (threshold Ki: 50 nM) against hERG K+ channel. Five features comprised the pharmacophore: two aromatic rings (R1 and R2), one hydrogen-bond acceptor (A), one hydrophobic site (H), and one positive ionizable function (P). The sequential 3D-QSAR model developed with a set of 421 compounds (randomly divided in training and test set) yielded a test set (Q2) = 0.802 and proved to be predictive with respect to an external test set of 309 compounds that were not used to generate the model (rext_ts2 = 0.860). Furthermore, the model was submitted to an in silico validation for assessing the reliability of the approach, by applying a decoys set, evaluating the Güner and Henry score (GH) and the Enrichment Factor (EF), and by using the ROC curve analysis. The outcome demonstrated the high predictive power of the inclusive 3D-QSAR model developed for the hERG K+ channel blockers, confirming the fundamental validity of the chosen approach for obtaining a fast proprietary cardiotoxicity predictive tool to be employed for rationally designing compounds with reduced hERG K+ channel activity at the early steps of the drug discovery trajectory.
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Affiliation(s)
- Giulia Chemi
- European Research Centre for Drug Discovery (NatSynDrugs), University of SienaSiena, Italy.,Department of Biotechnology, Chemistry and Pharmacy, University of SienaSiena, Italy
| | - Sandra Gemma
- European Research Centre for Drug Discovery (NatSynDrugs), University of SienaSiena, Italy.,Department of Biotechnology, Chemistry and Pharmacy, University of SienaSiena, Italy
| | - Giuseppe Campiani
- European Research Centre for Drug Discovery (NatSynDrugs), University of SienaSiena, Italy.,Department of Biotechnology, Chemistry and Pharmacy, University of SienaSiena, Italy
| | - Simone Brogi
- European Research Centre for Drug Discovery (NatSynDrugs), University of SienaSiena, Italy.,Department of Biotechnology, Chemistry and Pharmacy, University of SienaSiena, Italy
| | - Stefania Butini
- European Research Centre for Drug Discovery (NatSynDrugs), University of SienaSiena, Italy.,Department of Biotechnology, Chemistry and Pharmacy, University of SienaSiena, Italy
| | - Margherita Brindisi
- European Research Centre for Drug Discovery (NatSynDrugs), University of SienaSiena, Italy.,Department of Biotechnology, Chemistry and Pharmacy, University of SienaSiena, Italy
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9
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Nikolic K, Agbaba D, Stark H. Pharmacophore modeling, drug design and virtual screening on multi-targeting procognitive agents approaching histaminergic pathways. J Taiwan Inst Chem Eng 2015. [DOI: 10.1016/j.jtice.2014.09.017] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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10
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Danker T, Möller C. Early identification of hERG liability in drug discovery programs by automated patch clamp. Front Pharmacol 2014; 5:203. [PMID: 25228880 PMCID: PMC4151236 DOI: 10.3389/fphar.2014.00203] [Citation(s) in RCA: 63] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2014] [Accepted: 08/14/2014] [Indexed: 12/26/2022] Open
Abstract
Blockade of the cardiac ion channel coded by human ether-à-gogo-related gene (hERG) can lead to cardiac arrhythmia, which has become a major concern in drug discovery and development. Automated electrophysiological patch clamp allows assessment of hERG channel effects early in drug development to aid medicinal chemistry programs and has become routine in pharmaceutical companies. However, a number of potential sources of errors in setting up hERG channel assays by automated patch clamp can lead to misinterpretation of data or false effects being reported. This article describes protocols for automated electrophysiology screening of compound effects on the hERG channel current. Protocol details and the translation of criteria known from manual patch clamp experiments to automated patch clamp experiments to achieve good quality data are emphasized. Typical pitfalls and artifacts that may lead to misinterpretation of data are discussed. While this article focuses on hERG channel recordings using the QPatch (Sophion A/S, Copenhagen, Denmark) technology, many of the assay and protocol details given in this article can be transferred for setting up different ion channel assays by automated patch clamp and are similar on other planar patch clamp platforms.
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Affiliation(s)
| | - Clemens Möller
- Life Sciences Faculty, Albstadt-Sigmaringen University of Applied Sciences Sigmaringen, Germany
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11
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Lepailleur A, Freret T, Lemaître S, Boulouard M, Dauphin F, Hinschberger A, Dulin F, Lesnard A, Bureau R, Rault S. Dual histamine H3R/serotonin 5-HT4R ligands with antiamnesic properties: pharmacophore-based virtual screening and polypharmacology. J Chem Inf Model 2014; 54:1773-84. [PMID: 24857631 DOI: 10.1021/ci500157n] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
In recent years, preclinical and clinical studies have generated considerable interest in the development of histamine H3 receptor (H3R) antagonists as novel treatment for degenerative disorders associated with impaired cholinergic function. To identify novel scaffolds for H3R antagonism, a common feature-based pharmacophore model was developed and used to screen the 17,194 compounds of the CERMN (Centre d'Etudes et de Recherche sur le Médicament de Normandie) chemical library. Out of 268 virtual hits which have been gathered in 34 clusters, we were particularly interested in tricyclic derivatives also exhibiting a potent 5HT4R affinity. Benzo[h][1,6]naphthyridine derivatives showed the highest H3R affinity, and compound 17 (H3R Ki = 41.6 nM; 5-HT4R Ki = 208 nM) completely reversed the amnesiant effect of scopolamine at 3 mg/kg in a spatial working memory experiment. For the first time we demonstrated the feasibility to combine H3R and 5-HT4R activities in a single molecule, raising the exciting possibility that dual H3R antagonist/5HT4R agonist have potential for the treatment of neurodegenerative diseases such as Alzheimer's disease.
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12
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Wingen K, Schwed JS, Isensee K, Weizel L, Zivković A, Odadzic D, Odazic D, Stark H. Benzylpiperidine variations on histamine H3 receptor ligands for improved drug-likeness. Bioorg Med Chem Lett 2014; 24:2236-9. [PMID: 24745967 DOI: 10.1016/j.bmcl.2014.03.098] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2014] [Revised: 03/27/2014] [Accepted: 03/28/2014] [Indexed: 12/20/2022]
Abstract
Several hH3R antagonists/inverse agonists entered clinical phases for a broad spectrum of mainly centrally occurring diseases. Nevertheless, many promising candidates failed due to their pharmacokinetic profile, mostly because of their strong lipophilicity and their dibasic character. Analysis of previously, as potential PET ligands synthesized compounds (ST-889, ST-928) revealed promising results concerning physicochemical properties and drug-likeness. Herein, the synthesis, the evaluation of the binding properties at the hH3R and the estimation of different physicochemical and drug-likeness properties of further novel benzylpiperidine variations on H3R antagonists is described. Due to the introduction of various small hydrophilic moieties in the structure, drug-likeness parameters have been improved. For instance, compound 12 (ST-1032) showed in addition to high affinity at the H3R (pKi (hH3R)=9.3) clogS, clogP, LE, LipE, and LELP values of -2.48, 2.18, 0.44, 7.14, and 4.95, respectively. Also, the keto derivative 5 (ST-1703, pKi (hH3R)=8.6) revealed LipE and LELP values of 5.25 and 6.84, respectively.
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Affiliation(s)
- Kerstin Wingen
- Johann Wolfgang Goethe University, Institute of Pharmaceutical Chemistry, Biozentrum, Max-von-Laue-Str. 9, 60438 Frankfurt/Main, Germany
| | - J Stephan Schwed
- Heinrich Heine University Duesseldorf, Institute of Pharmaceutical and Medicinal Chemistry, Universitaetsstr. 1, 40225 Duesseldorf, Germany
| | - Kathleen Isensee
- Johann Wolfgang Goethe University, Institute of Pharmaceutical Chemistry, Biozentrum, Max-von-Laue-Str. 9, 60438 Frankfurt/Main, Germany
| | - Lilia Weizel
- Johann Wolfgang Goethe University, Institute of Pharmaceutical Chemistry, Biozentrum, Max-von-Laue-Str. 9, 60438 Frankfurt/Main, Germany
| | - Aleksandra Zivković
- Heinrich Heine University Duesseldorf, Institute of Pharmaceutical and Medicinal Chemistry, Universitaetsstr. 1, 40225 Duesseldorf, Germany
| | | | - Dalibor Odazic
- Johann Wolfgang Goethe University, Institute of Pharmaceutical Chemistry, Biozentrum, Max-von-Laue-Str. 9, 60438 Frankfurt/Main, Germany
| | - Holger Stark
- Heinrich Heine University Duesseldorf, Institute of Pharmaceutical and Medicinal Chemistry, Universitaetsstr. 1, 40225 Duesseldorf, Germany.
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13
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Gao Z, Hurst WJ, Czechtizky W, Hall D, Moindrot N, Nagorny R, Pichat P, Stefany D, Hendrix JA, George PG. Identification and profiling of 3,5-dimethyl-isoxazole-4-carboxylic acid [2-methyl-4-((2S,3′S)-2-methyl-[1,3′]bipyrrolidinyl-1′-yl)phenyl] amide as histamine H3 receptor antagonist for the treatment of depression. Bioorg Med Chem Lett 2013; 23:6269-73. [DOI: 10.1016/j.bmcl.2013.09.081] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2013] [Revised: 09/24/2013] [Accepted: 09/25/2013] [Indexed: 01/08/2023]
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14
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Łażewska D, Kieć-Kononowicz K. New developments around histamine H3receptor antagonists/inverse agonists: a patent review (2010 – present). Expert Opin Ther Pat 2013; 24:89-111. [DOI: 10.1517/13543776.2014.848197] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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15
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Affiliation(s)
- Paul Czodrowski
- Merck KGaA, Small Molecule
Platform, Global Computational Chemistry, Frankfurter Strasse 250,
64293 Darmstadt, Germany
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Gao Z, Hurst WJ, Guillot E, Czechtizky W, Lukasczyk U, Nagorny R, Pruniaux MP, Schwink L, Sanchez JA, Stengelin S, Tang L, Winkler I, Hendrix JA, George PG. Discovery of aryl ureas and aryl amides as potent and selective histamine H3 receptor antagonists for the treatment of obesity (part I). Bioorg Med Chem Lett 2013; 23:3416-20. [PMID: 23591110 DOI: 10.1016/j.bmcl.2013.03.080] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2013] [Revised: 03/18/2013] [Accepted: 03/20/2013] [Indexed: 11/28/2022]
Abstract
A series of structurally novel aryl ureas was derived from optimization of the HTS lead as selective histamine H3 receptor (H3R) antagonists. The SAR was explored and the data obtained set up the starting point and foundation for further optimization. The most potent tool compounds, as exemplified by compounds 2l, 5b, 5d, and 5e, displayed antagonism potencies in the subnanomolar range in in vitro human-H3R FLIPR assays and rhesus monkey H3R binding assays.
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Affiliation(s)
- Zhongli Gao
- LGCR SMRPD Chemical Research, Sanofi US, 153-1-122, 153 2nd Ave, Waltham, MA 02451, USA.
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Gao Z, Hurst WJ, Guillot E, Czechtizky W, Lukasczyk U, Nagorny R, Pruniaux MP, Schwink L, Sanchez JA, Stengelin S, Tang L, Winkler I, Hendrix JA, George PG. Discovery of aryl ureas and aryl amides as potent and selective histamine H3 receptor antagonists for the treatment of obesity (Part II). Bioorg Med Chem Lett 2013; 23:3421-6. [DOI: 10.1016/j.bmcl.2013.03.081] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2013] [Revised: 03/18/2013] [Accepted: 03/20/2013] [Indexed: 01/06/2023]
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