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Ledneczki I, Tapolcsányi P, Gábor E, Éles J, Barabás J, Béni Z, Varga B, Balázs O, Román V, Fodor L, Szikra J, Vastag M, Lévay G, Schmidt É, Lendvai B, Greiner I, Kiss B, Némethy Z, Mahó S. Discovery of Novel Steroid-Based Histamine H 3 Receptor Antagonists/Inverse Agonists. J Med Chem 2024; 67:3643-3667. [PMID: 38393759 DOI: 10.1021/acs.jmedchem.3c02117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/25/2024]
Abstract
Steroid-based histamine H3 receptor antagonists (d-homoazasteroids) were designed by combining distinct structural elements of HTS hit molecules. They were characterized, and several of them displayed remarkably high affinity for H3 receptors with antagonist/inverse agonist features. Especially, the 17a-aza-d-homolactam chemotype demonstrated excellent H3R activity together with significant in vivo H3 antagonism. Optimization of the chemotype was initiated with special emphasis on the elimination of the hERG and muscarinic affinity. Additionally, ligand-based SAR considerations and molecular docking studies were performed to predict binding modes of the molecules. The most promising compounds (XXI, XXVIII, and XX) showed practically no muscarinic and hERG affinity. They showed antagonist/inverse agonist property in the in vitro functional tests that was apparent in the rat in vivo dipsogenia test. They were considerably stable in human and rat liver microsomes and provided significant in vivo potency in the place recognition and novel object recognition cognitive paradigms.
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Affiliation(s)
| | - Pál Tapolcsányi
- Gedeon Richter Plc., 19-21 Gyömrői út, Budapest H-1103, Hungary
| | - Eszter Gábor
- Gedeon Richter Plc., 19-21 Gyömrői út, Budapest H-1103, Hungary
| | - János Éles
- Gedeon Richter Plc., 19-21 Gyömrői út, Budapest H-1103, Hungary
| | - Júlia Barabás
- Gedeon Richter Plc., 19-21 Gyömrői út, Budapest H-1103, Hungary
| | - Zoltán Béni
- Gedeon Richter Plc., 19-21 Gyömrői út, Budapest H-1103, Hungary
| | - Balázs Varga
- Gedeon Richter Plc., 19-21 Gyömrői út, Budapest H-1103, Hungary
| | - Ottilia Balázs
- Gedeon Richter Plc., 19-21 Gyömrői út, Budapest H-1103, Hungary
| | - Viktor Román
- Gedeon Richter Plc., 19-21 Gyömrői út, Budapest H-1103, Hungary
| | - László Fodor
- Gedeon Richter Plc., 19-21 Gyömrői út, Budapest H-1103, Hungary
| | - Judit Szikra
- Gedeon Richter Plc., 19-21 Gyömrői út, Budapest H-1103, Hungary
| | - Mónika Vastag
- Gedeon Richter Plc., 19-21 Gyömrői út, Budapest H-1103, Hungary
| | - György Lévay
- Gedeon Richter Plc., 19-21 Gyömrői út, Budapest H-1103, Hungary
| | - Éva Schmidt
- Gedeon Richter Plc., 19-21 Gyömrői út, Budapest H-1103, Hungary
| | - Balázs Lendvai
- Gedeon Richter Plc., 19-21 Gyömrői út, Budapest H-1103, Hungary
| | - István Greiner
- Gedeon Richter Plc., 19-21 Gyömrői út, Budapest H-1103, Hungary
| | - Béla Kiss
- Gedeon Richter Plc., 19-21 Gyömrői út, Budapest H-1103, Hungary
| | - Zsolt Némethy
- Gedeon Richter Plc., 19-21 Gyömrői út, Budapest H-1103, Hungary
| | - Sándor Mahó
- Gedeon Richter Plc., 19-21 Gyömrői út, Budapest H-1103, Hungary
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Mind the Gap—Deciphering GPCR Pharmacology Using 3D Pharmacophores and Artificial Intelligence. Pharmaceuticals (Basel) 2022; 15:ph15111304. [DOI: 10.3390/ph15111304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Revised: 10/15/2022] [Accepted: 10/17/2022] [Indexed: 11/09/2022] Open
Abstract
G protein-coupled receptors (GPCRs) are amongst the most pharmaceutically relevant and well-studied protein targets, yet unanswered questions in the field leave significant gaps in our understanding of their nuanced structure and function. Three-dimensional pharmacophore models are powerful computational tools in in silico drug discovery, presenting myriad opportunities for the integration of GPCR structural biology and cheminformatics. This review highlights success stories in the application of 3D pharmacophore modeling to de novo drug design, the discovery of biased and allosteric ligands, scaffold hopping, QSAR analysis, hit-to-lead optimization, GPCR de-orphanization, mechanistic understanding of GPCR pharmacology and the elucidation of ligand–receptor interactions. Furthermore, advances in the incorporation of dynamics and machine learning are highlighted. The review will analyze challenges in the field of GPCR drug discovery, detailing how 3D pharmacophore modeling can be used to address them. Finally, we will present opportunities afforded by 3D pharmacophore modeling in the advancement of our understanding and targeting of GPCRs.
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Mehta P, Miszta P, Filipek S. Molecular Modeling of Histamine Receptors-Recent Advances in Drug Discovery. Molecules 2021; 26:1778. [PMID: 33810008 PMCID: PMC8004658 DOI: 10.3390/molecules26061778] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Revised: 03/17/2021] [Accepted: 03/19/2021] [Indexed: 12/11/2022] Open
Abstract
The recent developments of fast reliable docking, virtual screening and other algorithms gave rise to discovery of many novel ligands of histamine receptors that could be used for treatment of allergic inflammatory disorders, central nervous system pathologies, pain, cancer and obesity. Furthermore, the pharmacological profiles of ligands clearly indicate that these receptors may be considered as targets not only for selective but also for multi-target drugs that could be used for treatment of complex disorders such as Alzheimer's disease. Therefore, analysis of protein-ligand recognition in the binding site of histamine receptors and also other molecular targets has become a valuable tool in drug design toolkit. This review covers the period 2014-2020 in the field of theoretical investigations of histamine receptors mostly based on molecular modeling as well as the experimental characterization of novel ligands of these receptors.
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Affiliation(s)
| | | | - Sławomir Filipek
- Biological and Chemical Research Centre, Faculty of Chemistry, University of Warsaw, 02-093 Warsaw, Poland or (P.M.); (P.M.)
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Saikia S, Bordoloi M, Sarmah R. Established and In-trial GPCR Families in Clinical Trials: A Review for Target Selection. Curr Drug Targets 2020; 20:522-539. [PMID: 30394207 DOI: 10.2174/1389450120666181105152439] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2018] [Revised: 08/28/2018] [Accepted: 10/22/2018] [Indexed: 12/14/2022]
Abstract
The largest family of drug targets in clinical trials constitute of GPCRs (G-protein coupled receptors) which accounts for about 34% of FDA (Food and Drug Administration) approved drugs acting on 108 unique GPCRs. Factors such as readily identifiable conserved motif in structures, 127 orphan GPCRs despite various de-orphaning techniques, directed functional antibodies for validation as drug targets, etc. has widened their therapeutic windows. The availability of 44 crystal structures of unique receptors, unexplored non-olfactory GPCRs (encoded by 50% of the human genome) and 205 ligand receptor complexes now present a strong foundation for structure-based drug discovery and design. The growing impact of polypharmacology for complex diseases like schizophrenia, cancer etc. warrants the need for novel targets and considering the undiscriminating and selectivity of GPCRs, they can fulfill this purpose. Again, natural genetic variations within the human genome sometimes delude the therapeutic expectations of some drugs, resulting in medication response differences and ADRs (adverse drug reactions). Around ~30 billion US dollars are dumped annually for poor accounting of ADRs in the US alone. To curb such undesirable reactions, the knowledge of established and currently in clinical trials GPCRs families can offer huge understanding towards the drug designing prospects including "off-target" effects reducing economical resource and time. The druggability of GPCR protein families and critical roles played by them in complex diseases are explained. Class A, class B1, class C and class F are generally established family and GPCRs in phase I (19%), phase II(29%), phase III(52%) studies are also reviewed. From the phase I studies, frizzled receptors accounted for the highest in trial targets, neuropeptides in phase II and melanocortin in phase III studies. Also, the bioapplications for nanoparticles along with future prospects for both nanomedicine and GPCR drug industry are discussed. Further, the use of computational techniques and methods employed for different target validations are also reviewed along with their future potential for the GPCR based drug discovery.
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Affiliation(s)
- Surovi Saikia
- Natural Products Chemistry Group, CSIR North East Institute of Science & Technology, Jorhat-785006, Assam, India
| | - Manobjyoti Bordoloi
- Natural Products Chemistry Group, CSIR North East Institute of Science & Technology, Jorhat-785006, Assam, India
| | - Rajeev Sarmah
- Allied Health Sciences, Assam Down Town University, Panikhaiti, Guwahati 781026, Assam, India
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Schaller D, Šribar D, Noonan T, Deng L, Nguyen TN, Pach S, Machalz D, Bermudez M, Wolber G. Next generation 3D pharmacophore modeling. WILEY INTERDISCIPLINARY REVIEWS-COMPUTATIONAL MOLECULAR SCIENCE 2020. [DOI: 10.1002/wcms.1468] [Citation(s) in RCA: 57] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Affiliation(s)
- David Schaller
- Pharmaceutical and Medicinal Chemistry Freie Universität Berlin Berlin Germany
| | - Dora Šribar
- Pharmaceutical and Medicinal Chemistry Freie Universität Berlin Berlin Germany
| | - Theresa Noonan
- Pharmaceutical and Medicinal Chemistry Freie Universität Berlin Berlin Germany
| | - Lihua Deng
- Pharmaceutical and Medicinal Chemistry Freie Universität Berlin Berlin Germany
| | - Trung Ngoc Nguyen
- Pharmaceutical and Medicinal Chemistry Freie Universität Berlin Berlin Germany
| | - Szymon Pach
- Pharmaceutical and Medicinal Chemistry Freie Universität Berlin Berlin Germany
| | - David Machalz
- Pharmaceutical and Medicinal Chemistry Freie Universität Berlin Berlin Germany
| | - Marcel Bermudez
- Pharmaceutical and Medicinal Chemistry Freie Universität Berlin Berlin Germany
| | - Gerhard Wolber
- Pharmaceutical and Medicinal Chemistry Freie Universität Berlin Berlin Germany
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Kumar A, Pasam VR, Thakur RK, Singh M, Singh K, Shukla M, Yadav A, Dogra S, Sona C, Umrao D, Jaiswal S, Ahmad H, Rashid M, Singh SK, Wahajuddin M, Dwivedi AK, Siddiqi MI, Lal J, Tripathi RP, Yadav PN. Novel Tetrahydroquinazolinamines as Selective Histamine 3 Receptor Antagonists for the Treatment of Obesity. J Med Chem 2019; 62:4638-4655. [PMID: 30998358 DOI: 10.1021/acs.jmedchem.9b00241] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
The histamine 3 receptor (H3R) is a presynaptic receptor, which modulates several neurotransmitters including histamine and various essential physiological processes, such as feeding, arousal, cognition, and pain. The H3R is considered as a drug target for the treatment of several central nervous system disorders. We have synthesized and identified a novel series of 4-aryl-6-methyl-5,6,7,8-tetrahydroquinazolinamines that act as selective H3R antagonists. Among all the synthesized compounds, in vitro and docking studies suggested that the 4-methoxy-phenyl-substituted tetrahydroquinazolinamine compound 4c has potent and selective H3R antagonist activity (IC50 < 0.04 μM). Compound 4c did not exhibit any activity on the hERG ion channel and pan-assay interference compounds liability. Pharmacokinetic studies showed that 4c crosses the blood brain barrier, and in vivo studies demonstrated that 4c induces anorexia and weight loss in obese, but not in lean mice. These data reveal the therapeutic potential of 4c as an anti-obesity candidate drug via antagonizing the H3R.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Chandan Sona
- Academy of Scientific and Innovative Research (AcSIR) , New Delhi 110001 , India
| | | | | | | | | | | | | | | | | | | | - Rama Pati Tripathi
- Academy of Scientific and Innovative Research (AcSIR) , New Delhi 110001 , India.,National Institute of Pharmaceutical Education and Research Raebareli , New Transit Campus, Bijnor Road , Sarojani Nagar, Near CRPF Base Camp, Lucknow , 226002 Uttar Pradesh , India
| | - Prem N Yadav
- Academy of Scientific and Innovative Research (AcSIR) , New Delhi 110001 , India
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Basith S, Cui M, Macalino SJY, Park J, Clavio NAB, Kang S, Choi S. Exploring G Protein-Coupled Receptors (GPCRs) Ligand Space via Cheminformatics Approaches: Impact on Rational Drug Design. Front Pharmacol 2018; 9:128. [PMID: 29593527 PMCID: PMC5854945 DOI: 10.3389/fphar.2018.00128] [Citation(s) in RCA: 79] [Impact Index Per Article: 13.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2017] [Accepted: 02/06/2018] [Indexed: 01/14/2023] Open
Abstract
The primary goal of rational drug discovery is the identification of selective ligands which act on single or multiple drug targets to achieve the desired clinical outcome through the exploration of total chemical space. To identify such desired compounds, computational approaches are necessary in predicting their drug-like properties. G Protein-Coupled Receptors (GPCRs) represent one of the largest and most important integral membrane protein families. These receptors serve as increasingly attractive drug targets due to their relevance in the treatment of various diseases, such as inflammatory disorders, metabolic imbalances, cardiac disorders, cancer, monogenic disorders, etc. In the last decade, multitudes of three-dimensional (3D) structures were solved for diverse GPCRs, thus referring to this period as the "golden age for GPCR structural biology." Moreover, accumulation of data about the chemical properties of GPCR ligands has garnered much interest toward the exploration of GPCR chemical space. Due to the steady increase in the structural, ligand, and functional data of GPCRs, several cheminformatics approaches have been implemented in its drug discovery pipeline. In this review, we mainly focus on the cheminformatics-based paradigms in GPCR drug discovery. We provide a comprehensive view on the ligand- and structure-based cheminformatics approaches which are best illustrated via GPCR case studies. Furthermore, an appropriate combination of ligand-based knowledge with structure-based ones, i.e., integrated approach, which is emerging as a promising strategy for cheminformatics-based GPCR drug design is also discussed.
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Affiliation(s)
| | | | | | | | | | - Soosung Kang
- College of Pharmacy and Graduate School of Pharmaceutical Sciences, Ewha Womans University, Seoul, South Korea
| | - Sun Choi
- College of Pharmacy and Graduate School of Pharmaceutical Sciences, Ewha Womans University, Seoul, South Korea
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Vass M, Kooistra AJ, Verhoeven S, Gloriam D, de Esch IJP, de Graaf C. A Structural Framework for GPCR Chemogenomics: What's In a Residue Number? Methods Mol Biol 2018; 1705:73-113. [PMID: 29188559 DOI: 10.1007/978-1-4939-7465-8_4] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
The recent surge of crystal structures of G protein-coupled receptors (GPCRs), as well as comprehensive collections of sequence, structural, ligand bioactivity, and mutation data, has enabled the development of integrated chemogenomics workflows for this important target family. This chapter will focus on cross-family and cross-class studies of GPCRs that have pinpointed the need for, and the implementation of, a generic numbering scheme for referring to specific structural elements of GPCRs. Sequence- and structure-based numbering schemes for different receptor classes will be introduced and the remaining caveats will be discussed. The use of these numbering schemes has facilitated many chemogenomics studies such as consensus binding site definition, binding site comparison, ligand repurposing (e.g. for orphan receptors), sequence-based pharmacophore generation for homology modeling or virtual screening, and class-wide chemogenomics studies of GPCRs.
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Affiliation(s)
- Márton Vass
- Department of Medicinal Chemistry, Amsterdam Institute for Molecules Medicines and Systems, Vrije Universiteit Amsterdam, De Boelelaan 1108, 1081 HV, Amsterdam, The Netherlands
| | - Albert J Kooistra
- Department of Medicinal Chemistry, Amsterdam Institute for Molecules Medicines and Systems, Vrije Universiteit Amsterdam, De Boelelaan 1108, 1081 HV, Amsterdam, The Netherlands
- Centre for Molecular and Biomolecular Informatics (CMBI), Radboud University Medical Center, 6525 GA, Nijmegen, The Netherlands
| | - Stefan Verhoeven
- Netherlands eScience Center, 1098 XG, Amsterdam, The Netherlands
| | - David Gloriam
- Department of Drug Design and Pharmacology, University of Copenhagen, 2100, Copenhagen, Denmark
| | - Iwan J P de Esch
- Department of Medicinal Chemistry, Amsterdam Institute for Molecules Medicines and Systems, Vrije Universiteit Amsterdam, De Boelelaan 1108, 1081 HV, Amsterdam, The Netherlands
| | - Chris de Graaf
- Department of Medicinal Chemistry, Amsterdam Institute for Molecules Medicines and Systems, Vrije Universiteit Amsterdam, De Boelelaan 1108, 1081 HV, Amsterdam, The Netherlands.
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