1
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Haupenthal J, Rafehi M, Kany AM, Lespine A, Stefan K, Hirsch AKH, Stefan SM. Target repurposing unravels avermectins and derivatives as novel antibiotics inhibiting energy-coupling factor transporters (ECFTs). Arch Pharm (Weinheim) 2024:e2400267. [PMID: 38896404 DOI: 10.1002/ardp.202400267] [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: 04/10/2024] [Revised: 05/23/2024] [Accepted: 05/26/2024] [Indexed: 06/21/2024]
Abstract
Energy-coupling factor transporters (ECFTs) are membrane-bound ATP-binding cassette (ABC) transporters in prokaryotes that are found in pathogens against which novel antibiotics are urgently needed. To date, just 54 inhibitors of three molecular-structural classes with mostly weak inhibitory activity are known. Target repurposing is a strategy that transfers knowledge gained from a well-studied protein family to under-studied targets of phylogenetic relation. Forty-eight human ABC transporters are known that may harbor structural motifs similar to ECFTs to which particularly multitarget compounds may bind. We assessed 31 multitarget compounds which together target the entire druggable human ABC transporter proteome against ECFTs, of which nine showed inhibitory activity (hit rate 29.0%) and four demonstrated moderate to strong inhibition of an ECFT (IC50 values between 4.28 and 50.2 µM) as well as antibacterial activity against ECFT-expressing Streptococcus pneumoniae. Here, ivermectin was the most potent candidate (MIC95: 22.8 µM), and analysis of five ivermectin derivatives revealed moxidectin as one of the most potent ECFT-targeting antibacterial agents (IC50: 2.23 µM; MIC95: 2.91 µM). Distinct molecular-structural features of avermectins and derivatives as well as the differential biological response of the hit compounds in general provided first indications with respect to the structure-activity relationships and mode of action, respectively.
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Affiliation(s)
- Jörg Haupenthal
- Helmholtz Institute for Pharmaceutical Research Saarland (HIPS)-Helmholtz Centre for Infection Research (HZI), Saarland University, Saarbrücken, Germany
| | - Muhammad Rafehi
- Institute of Clinical Pharmacology, University Medical Center Göttingen, Göttingen, Germany
- Department of Medical Education Augsburg, Augsburg University Medicine, Augsburg, Germany
| | - Andreas M Kany
- Helmholtz Institute for Pharmaceutical Research Saarland (HIPS)-Helmholtz Centre for Infection Research (HZI), Saarland University, Saarbrücken, Germany
| | - Anne Lespine
- INTHERES, Université de Toulouse, INRAE, ENVT, Toulouse, France
| | - Katja Stefan
- Lübeck Institute of Experimental Dermatology, Medicinal Chemistry and Systems Polypharmacology, University of Lübeck and University Medical Center Schleswig-Holstein, Lübeck, Germany
| | - Anna K H Hirsch
- Helmholtz Institute for Pharmaceutical Research Saarland (HIPS)-Helmholtz Centre for Infection Research (HZI), Saarland University, Saarbrücken, Germany
- Department of Pharmacy, Saarland University, Saarbrücken, Germany
| | - Sven Marcel Stefan
- Lübeck Institute of Experimental Dermatology, Medicinal Chemistry and Systems Polypharmacology, University of Lübeck and University Medical Center Schleswig-Holstein, Lübeck, Germany
- Department of Biopharmacy, Medical University of Lublin, Lublin, Poland
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2
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Stefan K, Namasivayam V, Stefan SM. Computer-aided pattern scoring - A multitarget dataset-driven workflow to predict ligands of orphan targets. Sci Data 2024; 11:530. [PMID: 38783061 PMCID: PMC11116543 DOI: 10.1038/s41597-024-03343-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Accepted: 05/03/2024] [Indexed: 05/25/2024] Open
Abstract
The identification of lead molecules and the exploration of novel pharmacological drug targets are major challenges of medical life sciences today. Genome-wide association studies, multi-omics, and systems pharmacology steadily reveal new protein networks, extending the known and relevant disease-modifying proteome. Unfortunately, the vast majority of the disease-modifying proteome consists of 'orphan targets' of which intrinsic ligands/substrates, (patho)physiological roles, and/or modulators are unknown. Undruggability is a major challenge in drug development today, and medicinal chemistry efforts cannot keep up with hit identification and hit-to-lead optimization studies. New 'thinking-outside-the-box' approaches are necessary to identify structurally novel and functionally distinctive ligands for orphan targets. Here we present a unique dataset that includes critical information on the orphan target ABCA1, from which a novel cheminformatic workflow - computer-aided pattern scoring (C@PS) - for the identification of novel ligands was developed. Providing a hit rate of 95.5% and molecules with high potency and molecular-structural diversity, this dataset represents a suitable template for general deorphanization studies.
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Affiliation(s)
- Katja Stefan
- University of Oslo and Oslo University Hospital, Department of Pathology, Rikshospitalet, Sognsvannsveien 20, 0372, Oslo, Norway
- University of Lübeck and University Medical Center Schleswig-Holstein, Lübeck Institute of Experimental Dermatology, Medical Systems Biology Division, Medicinal Chemistry and Systems Polypharmacology, Ratzeburger Allee 160, 23538, Lübeck, Germany
| | - Vigneshwaran Namasivayam
- University of Lübeck and University Medical Center Schleswig-Holstein, Lübeck Institute of Experimental Dermatology, Medical Systems Biology Division, Medicinal Chemistry and Systems Polypharmacology, Ratzeburger Allee 160, 23538, Lübeck, Germany.
- University of Bonn, Pharmaceutical Institute, Department of Pharmaceutical and Cellbiological Chemistry, An der Immenburg 4, 53121, Bonn, Germany.
| | - Sven Marcel Stefan
- University of Oslo and Oslo University Hospital, Department of Pathology, Rikshospitalet, Sognsvannsveien 20, 0372, Oslo, Norway.
- University of Lübeck and University Medical Center Schleswig-Holstein, Lübeck Institute of Experimental Dermatology, Medical Systems Biology Division, Medicinal Chemistry and Systems Polypharmacology, Ratzeburger Allee 160, 23538, Lübeck, Germany.
- Medical University of Lublin, Department of Biopharmacy, Chodzki 4a, 20-093, Lublin, Poland.
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3
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Stefan SM, Rafehi M. Medicinal polypharmacology: Exploration and exploitation of the polypharmacolome in modern drug development. Drug Dev Res 2024; 85:e22125. [PMID: 37920929 DOI: 10.1002/ddr.22125] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Revised: 09/23/2023] [Accepted: 10/12/2023] [Indexed: 11/04/2023]
Abstract
At the core of complex and multifactorial human diseases, such as cancer, metabolic syndrome, or neurodegeneration, are multiple players that cross-talk in robust biological networks which are intrinsically resilient to alterations. These multifactorial diseases are characterized by sophisticated feedback mechanisms which manifest cellular imbalance and resistance to drug therapy. By adhering to the specificity paradigm ("one target-one drug concept"), research focused for many years on drugs with very narrow mechanisms of action. This narrow focus promoted therapy ineffectiveness and resistance. However, modern drug discovery has evolved over the last years, increasingly emphasizing integral strategies for the development of clinically effective drugs. These integral strategies include the controlled engagement of multiple targets to overcome therapy resistance. Apart from the additive or even synergistic effects in therapy, multitarget drugs harbor molecular-structural attributes to explore orphan targets of which intrinsic substrates/physiological role(s) and/or modulators are unknown for future therapy purposes. We designated this multidisciplinary and translational research field between medicinal chemistry, chemical biology, and molecular pharmacology as 'medicinal polypharmacology'. Medicinal polypharmacology emerged as alternative approach to common single-targeted pharmacology stretching from basic drug and target identification processes to clinical evaluation of multitarget drugs, and the exploration and exploitation of the 'polypharmacolome' is at the forefront of modern drug development research.
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Affiliation(s)
- Sven Marcel Stefan
- Drug Development and Chemical Biology, Lübeck Institute of Experimental Dermatology (LIED), University of Lübeck and University Medical Center Schleswig-Holstein, Lübeck, Germany
- Translational Neurodegeneration Research and Neuropathology Lab, Department of Pathology, Section of Neuropathology and Oslo University Hospital, University of Oslo, Oslo, Norway
- School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Camperdown, New South Wales, Australia
| | - Muhammad Rafehi
- Department of Medical Education, Augsburg University Medicine, Augsburg, Germany
- Institute of Clinical Pharmacology, University Medical Center Göttingen, Göttingen, Germany
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4
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Stefan SM, Pahnke J, Namasivayam V. HD_BPMDS: a curated binary pattern multitarget dataset of Huntington's disease-targeting agents. J Cheminform 2023; 15:109. [PMID: 37978560 PMCID: PMC10655317 DOI: 10.1186/s13321-023-00775-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Accepted: 10/25/2023] [Indexed: 11/19/2023] Open
Abstract
The discovery of both distinctive lead molecules and novel drug targets is a great challenge in drug discovery, which particularly accounts for orphan diseases. Huntington's disease (HD) is an orphan, neurodegenerative disease of which the pathology is well-described. However, its pathophysiological background and molecular mechanisms are poorly understood. To date, only 2 drugs have been approved on the US and European markets, both of which address symptomatic aspects of this disease only. Although several hundreds of agents were described with efficacy against the HD phenotype in in vitro and/or in vivo models, a successful translation into clinical use is rarely achieved. Two major impediments are, first, the lack of awareness and understanding of the interactome-the sum of key proteins, cascades, and mediators-that contributes to HD initiation and progression; and second, the translation of the little gained knowledge into useful model systems. To counteract this lack of data awareness, we manually compiled and curated the entire modulator landscape of successfully evaluated pre-clinical small-molecule HD-targeting agents which are annotated with substructural molecular patterns, physicochemical properties, as well as drug targets, and which were linked to benchmark databases such as PubChem, ChEMBL, or UniProt. Particularly, the annotation with substructural molecular patterns expressed as binary code allowed for the generation of target-specific and -unspecific fingerprints which could be used to determine the (poly)pharmacological profile of molecular-structurally distinct molecules.
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Affiliation(s)
- Sven Marcel Stefan
- Drug Development and Chemical Biology, Lübeck Institute of Experimental Dermatology (LIED), University of Lübeck and University Medical Center Schleswig-Holstein, Ratzeburger Allee 160, 23538, Lübeck, Germany
- Department of Pathology, Section of Neuropathology, Translational Neurodegeneration Research and Neuropathology Lab, University of Oslo and Oslo University Hospital, Sognsvannsveien 20, 0372, Oslo, Norway
- School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW, 2006, Australia
| | - Jens Pahnke
- Drug Development and Chemical Biology, Lübeck Institute of Experimental Dermatology (LIED), University of Lübeck and University Medical Center Schleswig-Holstein, Ratzeburger Allee 160, 23538, Lübeck, Germany
- Department of Pathology, Section of Neuropathology, Translational Neurodegeneration Research and Neuropathology Lab, University of Oslo and Oslo University Hospital, Sognsvannsveien 20, 0372, Oslo, Norway
- Department of Pharmacology, Faculty of Medicine, University of Latvia, Jelgavas Iela 4, Rīga, 1004, Latvia
- Department of Neurobiology, The Georg S. Wise Faculty of Life Sciences, Tel Aviv University, 6997801, Tel Aviv, Israel
| | - Vigneshwaran Namasivayam
- Drug Development and Chemical Biology, Lübeck Institute of Experimental Dermatology (LIED), University of Lübeck and University Medical Center Schleswig-Holstein, Ratzeburger Allee 160, 23538, Lübeck, Germany.
- Department of Pharmaceutical and Cellbiological Chemistry, Pharmaceutical Institute, University of Bonn, An Der Immenburg 4, 53121, Bonn, Germany.
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5
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Puri S, Stefan K, Khan SL, Pahnke J, Stefan SM, Juvale K. Indole Derivatives as New Structural Class of Potent and Antiproliferative Inhibitors of Monocarboxylate Transporter 1 (MCT1; SLC16A1). J Med Chem 2022; 66:657-676. [PMID: 36584238 PMCID: PMC9841531 DOI: 10.1021/acs.jmedchem.2c01612] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
The solute carrier (SLC) monocarboxylate transporter 1 (MCT1; SLC16A1) represents a promising target for the treatment of cancer; however, the MCT1 modulator landscape is underexplored with only roughly 100 reported compounds. To expand the knowledge about MCT1 modulation, we synthesized a library of 16 indole-based molecules and subjected these to a comprehensive biological assessment platform. All compounds showed functional inhibitory activities against MCT1 at low nanomolar concentrations and great antiproliferative activities against the MCT1-expressing cancer cell lines A-549 and MCF-7, while the compounds were selective over MCT4 (SLC16A4). Lead compound 24 demonstrated a greater potency than the reference compound, and molecular docking revealed strong binding affinities to MCT1. Compound 24 led to cancer cell cycle arrest as well as apoptosis, and it showed to sensitize these cancer cells toward an antineoplastic agent. Strikingly, compound 24 had also significant inhibitory power against the multidrug transporter ABCB1 and showed to reverse ABCB1-mediated multidrug resistance (MDR).
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Affiliation(s)
- Sachin Puri
- Shobhaben
Pratapbhai Patel School of Pharmacy & Technology Management, SVKM’s
NMIMS, V.L. Mehta Road,
Vile Parle (W), Mumbai400056, India
| | - Katja Stefan
- Department
of Pathology, Section of Neuropathology, Translational Neurodegeneration
Research and Neuropathology Lab (www.pahnkelab.eu), University of Oslo and Oslo University Hospital, Sognsvannsveien 20, 0372Oslo, Norway
| | - Sharuk L. Khan
- Department
of Pharmaceutical Chemistry, N.B.S. Institute
of Pharmacy, Ausa413520, Maharashtra, India
| | - Jens Pahnke
- Department
of Pathology, Section of Neuropathology, Translational Neurodegeneration
Research and Neuropathology Lab (www.pahnkelab.eu), University of Oslo and Oslo University Hospital, Sognsvannsveien 20, 0372Oslo, Norway,Drug
Development and Chemical Biology Lab, Lübeck Institute of Experimental
Dermatology (LIED), University of Lübeck
and University Medical Center Schleswig-Holstein, Ratzeburger Allee 160, 23538Lübeck, Germany,Department
of Pharmacology, Faculty of Medicine, University
of Latvia, Jelgavas iela
4, 1004Ri̅ga, Latvia
| | - Sven Marcel Stefan
- Department
of Pathology, Section of Neuropathology, Translational Neurodegeneration
Research and Neuropathology Lab (www.pahnkelab.eu), University of Oslo and Oslo University Hospital, Sognsvannsveien 20, 0372Oslo, Norway,Drug
Development and Chemical Biology Lab, Lübeck Institute of Experimental
Dermatology (LIED), University of Lübeck
and University Medical Center Schleswig-Holstein, Ratzeburger Allee 160, 23538Lübeck, Germany,,
| | - Kapil Juvale
- Shobhaben
Pratapbhai Patel School of Pharmacy & Technology Management, SVKM’s
NMIMS, V.L. Mehta Road,
Vile Parle (W), Mumbai400056, India,,
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6
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Grigoreva TA, Sagaidak AV, Vorona SV, Novikova DS, Tribulovich VG. ATP Mimetic Attack on the Nucleotide-Binding Domain to Overcome ABC Transporter Mediated Chemoresistance. ACS Med Chem Lett 2022; 13:1848-1855. [DOI: 10.1021/acsmedchemlett.2c00196] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Accepted: 11/10/2022] [Indexed: 11/29/2022] Open
Affiliation(s)
- Tatyana A. Grigoreva
- Laboratory of Molecular Pharmacology, St. Petersburg State Institute of Technology (Technical University), Moskovskii pr., 26, St. Petersburg, 190013 Russia
| | - Aleksandra V. Sagaidak
- Laboratory of Molecular Pharmacology, St. Petersburg State Institute of Technology (Technical University), Moskovskii pr., 26, St. Petersburg, 190013 Russia
| | - Svetlana V. Vorona
- Laboratory of Molecular Pharmacology, St. Petersburg State Institute of Technology (Technical University), Moskovskii pr., 26, St. Petersburg, 190013 Russia
| | - Daria S. Novikova
- Laboratory of Molecular Pharmacology, St. Petersburg State Institute of Technology (Technical University), Moskovskii pr., 26, St. Petersburg, 190013 Russia
| | - Vyacheslav G. Tribulovich
- Laboratory of Molecular Pharmacology, St. Petersburg State Institute of Technology (Technical University), Moskovskii pr., 26, St. Petersburg, 190013 Russia
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7
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Wu J, Möhle L, Brüning T, Eiriz I, Rafehi M, Stefan K, Stefan SM, Pahnke J. A Novel Huntington's Disease Assessment Platform to Support Future Drug Discovery and Development. Int J Mol Sci 2022; 23:ijms232314763. [PMID: 36499090 PMCID: PMC9740291 DOI: 10.3390/ijms232314763] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 11/21/2022] [Accepted: 11/22/2022] [Indexed: 11/29/2022] Open
Abstract
Huntington's disease (HD) is a lethal neurodegenerative disorder without efficient therapeutic options. The inefficient translation from preclinical and clinical research into clinical use is mainly attributed to the lack of (i) understanding of disease initiation, progression, and involved molecular mechanisms; (ii) knowledge of the possible HD target space and general data awareness; (iii) detailed characterizations of available disease models; (iv) better suitable models; and (v) reliable and sensitive biomarkers. To generate robust HD-like symptoms in a mouse model, the neomycin resistance cassette was excised from zQ175 mice, generating a new line: zQ175Δneo. We entirely describe the dynamics of behavioral, neuropathological, and immunohistological changes from 15-57 weeks of age. Specifically, zQ175Δneo mice showed early astrogliosis from 15 weeks; growth retardation, body weight loss, and anxiety-like behaviors from 29 weeks; motor deficits and reduced muscular strength from 36 weeks; and finally slight microgliosis at 57 weeks of age. Additionally, we collected the entire bioactivity network of small-molecule HD modulators in a multitarget dataset (HD_MDS). Hereby, we uncovered 358 unique compounds addressing over 80 different pharmacological targets and pathways. Our data will support future drug discovery approaches and may serve as useful assessment platform for drug discovery and development against HD.
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Affiliation(s)
- Jingyun Wu
- Department of Pathology, Section of Neuropathology, Translational Neurodegeneration Research and Neuropathology Lab, University of Oslo and Oslo University Hospital, Sognsvannsveien 20, 0372 Oslo, Norway; www.pahnkelab.eu
| | - Luisa Möhle
- Department of Pathology, Section of Neuropathology, Translational Neurodegeneration Research and Neuropathology Lab, University of Oslo and Oslo University Hospital, Sognsvannsveien 20, 0372 Oslo, Norway; www.pahnkelab.eu
| | - Thomas Brüning
- Department of Pathology, Section of Neuropathology, Translational Neurodegeneration Research and Neuropathology Lab, University of Oslo and Oslo University Hospital, Sognsvannsveien 20, 0372 Oslo, Norway; www.pahnkelab.eu
| | - Iván Eiriz
- Department of Pathology, Section of Neuropathology, Translational Neurodegeneration Research and Neuropathology Lab, University of Oslo and Oslo University Hospital, Sognsvannsveien 20, 0372 Oslo, Norway; www.pahnkelab.eu
| | - Muhammad Rafehi
- Institute of Clinical Pharmacology, University Medical Center Göttingen, Robert-Koch-Str. 40, 37075 Göttingen, Germany
| | - Katja Stefan
- Department of Pathology, Section of Neuropathology, Translational Neurodegeneration Research and Neuropathology Lab, University of Oslo and Oslo University Hospital, Sognsvannsveien 20, 0372 Oslo, Norway; www.pahnkelab.eu
| | - Sven Marcel Stefan
- Department of Pathology, Section of Neuropathology, Translational Neurodegeneration Research and Neuropathology Lab, University of Oslo and Oslo University Hospital, Sognsvannsveien 20, 0372 Oslo, Norway; www.pahnkelab.eu
- Pahnke Lab (Drug Development and Chemical Biology), Lübeck Institute of Experimental Dermatology (LIED), University of Lübeck and University Medical Center Schleswig-Holstein, Ratzeburger Allee 160, 23538 Lübeck, Germany
- Correspondence: (J.P.); (S.M.S.); Tel.: +47-23-071-466 (J.P.)
| | - Jens Pahnke
- Department of Pathology, Section of Neuropathology, Translational Neurodegeneration Research and Neuropathology Lab, University of Oslo and Oslo University Hospital, Sognsvannsveien 20, 0372 Oslo, Norway; www.pahnkelab.eu
- Pahnke Lab (Drug Development and Chemical Biology), Lübeck Institute of Experimental Dermatology (LIED), University of Lübeck and University Medical Center Schleswig-Holstein, Ratzeburger Allee 160, 23538 Lübeck, Germany
- Department of Pharmacology, Faculty of Medicine, University of Latvia, Jelgavas iela 4, 1004 Rīga, Latvia
- Department of Neurobiology, The Georg S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv 6997801, Israel
- Correspondence: (J.P.); (S.M.S.); Tel.: +47-23-071-466 (J.P.)
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8
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A curated binary pattern multitarget dataset of focused ATP-binding cassette transporter inhibitors. Sci Data 2022; 9:446. [PMID: 35882865 PMCID: PMC9325750 DOI: 10.1038/s41597-022-01506-z] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Accepted: 06/28/2022] [Indexed: 12/20/2022] Open
Abstract
Multitarget datasets that correlate bioactivity landscapes of small-molecules toward different related or unrelated pharmacological targets are crucial for novel drug design and discovery. ATP-binding cassette (ABC) transporters are critical membrane-bound transport proteins that impact drug and metabolite distribution in human disease as well as disease diagnosis and therapy. Molecular-structural patterns are of the highest importance for the drug discovery process as demonstrated by the novel drug discovery tool ‘computer-aided pattern analysis’ (‘C@PA’). Here, we report a multitarget dataset of 1,167 ABC transporter inhibitors analyzed for 604 molecular substructures in a statistical binary pattern distribution scheme. This binary pattern multitarget dataset (ABC_BPMDS) can be utilized for various areas. These areas include the intended design of (i) polypharmacological agents, (ii) highly potent and selective ABC transporter-targeting agents, but also (iii) agents that avoid clearance by the focused ABC transporters [e.g., at the blood-brain barrier (BBB)]. The information provided will not only facilitate novel drug prediction and discovery of ABC transporter-targeting agents, but also drug design in general in terms of pharmacokinetics and pharmacodynamics. Measurement(s) | Influx • Efflux • Tracer • Transport velocity | Technology Type(s) | Fluorometry • Radioactivity • Plate reader • Flow cytometer • Tracer distribution | Factor Type(s) | half-maximal inhibition concentration | Sample Characteristic - Organism | Homo sapiens | Sample Characteristic - Environment | cell culture | Sample Characteristic - Location | Kingdom of Norway • Germany • Australia • Latvia |
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9
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Namasivayam V, Stefan K, Gorecki L, Korabecny J, Soukup O, Jansson PJ, Pahnke J, Stefan SM. Physicochemistry shapes bioactivity landscape of pan-ABC transporter modulators: Anchor point for innovative Alzheimer's disease therapeutics. Int J Biol Macromol 2022; 217:775-791. [PMID: 35839956 DOI: 10.1016/j.ijbiomac.2022.07.062] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Revised: 06/30/2022] [Accepted: 07/08/2022] [Indexed: 01/01/2023]
Abstract
Alzheimer's disease (AD) is a devastating neurological disorder characterized by the pathological accumulation of macromolecular Aβ and tau leading to neuronal death. Drugs approved to treat AD may ameliorate disease symptoms, however, no curative treatment exists. Aβ peptides were discovered to be substrates of adenosine triphosphate-(ATP)-binding cassette (ABC) transporters. Activators of these membrane-bound efflux proteins that promote binding and/or translocation of Aβ could revolutionize AD medicine. The knowledge about ABC transporter activators is very scarce, however, the few molecules that were reported contain substructural features of multitarget (pan-)ABC transporter inhibitors. A cutting-edge strategy to obtain new drug candidates is to explore and potentially exploit the recently proposed multitarget binding site of pan-ABC transporter inhibitors as anchor point for the development of innovative activators to promote Aβ clearance from the brain. Molecular associations between functional bioactivities and physicochemical properties of small-molecules are key to understand these processes. This study provides an analysis of a recently reported unique multitarget dataset for the correlation between multitarget bioactivity and physicochemistry. Six novel pan-ABC transporter inhibitors were validated containing substructural features of ABC transporter activators, which underpins the relevance of the multitarget binding site for the targeted development of novel AD diagnostics and therapeutics.
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Affiliation(s)
- Vigneshwaran Namasivayam
- LIED, Pahnke Lab (www.pahnkelab.eu), University of Lübeck and University Medical Center Schleswig-Holstein, Ratzeburger Allee 160, 23538 Lübeck, Germany; Department of Pharmaceutical and Cellbiological Chemistry, Pharmaceutical Institute, University of Bonn, An der Immenburg 4, 53121 Bonn, Germany
| | - Katja Stefan
- Department of Pathology, Section of Neuropathology, Translational Neurodegeneration Research and Neuropathology Lab (www.pahnkelab.eu), University of Oslo and Oslo University Hospital, Sognsvannsveien 20, 0372 Oslo, Norway
| | - Lukas Gorecki
- Biomedical Research Centre, University Hospital Hradec Kralove, Sokolska 581, 500 05 Hradec Kralove, Czech Republic
| | - Jan Korabecny
- Biomedical Research Centre, University Hospital Hradec Kralove, Sokolska 581, 500 05 Hradec Kralove, Czech Republic
| | - Ondrej Soukup
- Biomedical Research Centre, University Hospital Hradec Kralove, Sokolska 581, 500 05 Hradec Kralove, Czech Republic
| | - Patric Jan Jansson
- Cancer Drug Resistance & Stem Cell Program, School of Medical Science, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW 2006, Australia; Bill Walsh Translational Cancer Research Laboratory, Kolling Institute, Faculty of Medicine and Health, The University of Sydney, St. Leonards, NSW 2065, Australia
| | - Jens Pahnke
- LIED, Pahnke Lab (www.pahnkelab.eu), University of Lübeck and University Medical Center Schleswig-Holstein, Ratzeburger Allee 160, 23538 Lübeck, Germany; Department of Pathology, Section of Neuropathology, Translational Neurodegeneration Research and Neuropathology Lab (www.pahnkelab.eu), University of Oslo and Oslo University Hospital, Sognsvannsveien 20, 0372 Oslo, Norway; Department of Pharmacology, Faculty of Medicine, University of Latvia, Jelgavas iela 4, 1004 Rīga, Latvia; Tel Aviv University, The Georg S. Wise Faculty of Life Sciences, Department of Neurobiology, P.O. Box 39040, Tel Aviv 6997801, Israel
| | - Sven Marcel Stefan
- LIED, Pahnke Lab (www.pahnkelab.eu), University of Lübeck and University Medical Center Schleswig-Holstein, Ratzeburger Allee 160, 23538 Lübeck, Germany; Department of Pathology, Section of Neuropathology, Translational Neurodegeneration Research and Neuropathology Lab (www.pahnkelab.eu), University of Oslo and Oslo University Hospital, Sognsvannsveien 20, 0372 Oslo, Norway; Cancer Drug Resistance & Stem Cell Program, School of Medical Science, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW 2006, Australia.
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10
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Warr WA, Nicklaus MC, Nicolaou CA, Rarey M. Exploration of Ultralarge Compound Collections for Drug Discovery. J Chem Inf Model 2022; 62:2021-2034. [PMID: 35421301 DOI: 10.1021/acs.jcim.2c00224] [Citation(s) in RCA: 46] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Designing new medicines more cheaply and quickly is tightly linked to the quest of exploring chemical space more widely and efficiently. Chemical space is monumentally large, but recent advances in computer software and hardware have enabled researchers to navigate virtual chemical spaces containing billions of chemical structures. This review specifically concerns collections of many millions or even billions of enumerated chemical structures as well as even larger chemical spaces that are not fully enumerated. We present examples of chemical libraries and spaces and the means used to construct them, and we discuss new technologies for searching huge libraries and for searching combinatorially in chemical space. We also cover space navigation techniques and consider new approaches to de novo drug design and the impact of the "autonomous laboratory" on synthesis of designed compounds. Finally, we summarize some other challenges and opportunities for the future.
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Affiliation(s)
- Wendy A Warr
- Wendy Warr & Associates, 6 Berwick Court, Holmes Chapel, Crewe, Cheshire CW4 7HZ, United Kingdom
| | - Marc C Nicklaus
- NCI, NIH, CADD Group, NCI-Frederick, Frederick, Maryland 21702, United States
| | - Christos A Nicolaou
- Discovery Chemistry, Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, Indiana 46285, United States
| | - Matthias Rarey
- Universität Hamburg, ZBH Center for Bioinformatics, 20146 Hamburg, Germany
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Namasivayam V, Stefan K, Silbermann K, Pahnke J, Wiese M, Stefan SM. Structural feature-driven pattern analysis for multitarget modulator landscapes. Bioinformatics 2021; 38:1385-1392. [PMID: 34888617 PMCID: PMC8826350 DOI: 10.1093/bioinformatics/btab832] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Revised: 11/30/2021] [Accepted: 12/03/2021] [Indexed: 01/05/2023] Open
Abstract
MOTIVATION Multitargeting features of small molecules have been of increasing interest in recent years. Polypharmacological drugs that address several therapeutic targets may provide greater therapeutic benefits for patients. Furthermore, multitarget compounds can be used to address proteins of the same (or similar) protein families for their exploration as potential pharmacological targets. In addition, the knowledge of multitargeting features is of major importance in the drug selection process; particularly in ultra-large virtual screening procedures to gain high-quality compound collections. However, large-scale multitarget modulator landscapes are almost non-existent. RESULTS We implemented a specific feature-driven computer-aided pattern analysis (C@PA) to extract molecular-structural features of inhibitors of the model protein family of ATP-binding cassette (ABC) transporters. New molecular-structural features have been identified that successfully expanded the known multitarget modulator landscape of pan-ABC transporter inhibitors. The prediction capability was biologically confirmed by the successful discovery of pan-ABC transporter inhibitors with a distinct inhibitory activity profile. AVAILABILITY AND IMPLEMENTATION The multitarget dataset is available on the PANABC web page (http://www.panabc.info) and its use is free of charge. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Vigneshwaran Namasivayam
- Department of Pharmaceutical and Cellbiological Chemistry, Pharmaceutical Institute, University of Bonn, 53121 Bonn, Germany
| | - Katja Stefan
- Department of Pathology, Section of Neuropathology, Translational Neurodegeneration Research and Neuropathology Lab (www.pahnkelab.eu), University of Oslo and Oslo University Hospital, 0372 Oslo, Norway
| | - Katja Silbermann
- Department of Pharmaceutical and Cellbiological Chemistry, Pharmaceutical Institute, University of Bonn, 53121 Bonn, Germany
| | - Jens Pahnke
- Department of Pathology, Section of Neuropathology, Translational Neurodegeneration Research and Neuropathology Lab (www.pahnkelab.eu), University of Oslo and Oslo University Hospital, 0372 Oslo, Norway,LIED, University of Lübeck, 23538 Lübeck, Germany,Department of Pharmacology, Faculty of Medicine, University of Latvia, 1004 Rīga, Latvia
| | - Michael Wiese
- Department of Pharmaceutical and Cellbiological Chemistry, Pharmaceutical Institute, University of Bonn, 53121 Bonn, Germany
| | - Sven Marcel Stefan
- Department of Pharmaceutical and Cellbiological Chemistry, Pharmaceutical Institute, University of Bonn, 53121 Bonn, Germany,Department of Pathology, Section of Neuropathology, Translational Neurodegeneration Research and Neuropathology Lab (www.pahnkelab.eu), University of Oslo and Oslo University Hospital, 0372 Oslo, Norway,Cancer Drug Resistance and Stem Cell Program, University of Sydney, Sydney, NSW 2065, Australia,To whom correspondence should be addressed.
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Namasivayam V, Stefan K, Pahnke J, Stefan SM. Binding mode analysis of ABCA7 for the prediction of novel Alzheimer's disease therapeutics. Comput Struct Biotechnol J 2021; 19:6490-6504. [PMID: 34976306 PMCID: PMC8666613 DOI: 10.1016/j.csbj.2021.11.035] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Revised: 11/20/2021] [Accepted: 11/22/2021] [Indexed: 12/17/2022] Open
Abstract
The adenosine-triphosphate-(ATP)-binding cassette (ABC) transporter ABCA7 is a genetic risk factor for Alzheimer's disease (AD). Defective ABCA7 promotes AD development and/or progression. Unfortunately, ABCA7 belongs to the group of 'under-studied' ABC transporters that cannot be addressed by small-molecules. However, such small-molecules would allow for the exploration of ABCA7 as pharmacological target for the development of new AD diagnostics and therapeutics. Pan-ABC transporter modulators inherit the potential to explore under-studied ABC transporters as novel pharmacological targets by potentially binding to the proposed 'multitarget binding site'. Using the recently reported cryogenic-electron microscopy (cryo-EM) structures of ABCA1 and ABCA4, a homology model of ABCA7 has been generated. A set of novel, diverse, and potent pan-ABC transporter inhibitors has been docked to this ABCA7 homology model for the discovery of the multitarget binding site. Subsequently, application of pharmacophore modelling identified the essential pharmacophore features of these compounds that may support the rational drug design of innovative diagnostics and therapeutics against AD.
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Key Words
- ABC transporter (ABCA1, ABCA4, ABCA7)
- ABC, ATP-binding cassette
- AD, Alzheimer’s disease
- APP, amyloid precursor protein
- ATP, Adenosine-triphosphate
- Alzheimer’s disease (AD)
- BBB, blood-brain barrier
- BODIPY-cholesterol, 4,4-difluoro-4-bora-3a,4a-diaza-s-indacene-cholesterol
- ECD, extracellular domain
- EH, extracellular helix
- GSH, reduced glutathione
- HTS, high-throughput screening
- IC, intracellular helix
- MOE, Molecular Operating Environment
- MSD, membrane spanning domain
- Multitarget modulation (PANABC)
- NBD, nucleotide binding domain
- NBD-cholesterol, 7-nitro-2-1,3-benzoxadiazol-4-yl-cholesterol
- PDB, protein data bank
- PET tracer (PETABC)
- PET, positron emission tomography
- PLIF, protein ligand interaction
- PSO, particle swarm optimization
- Polypharmacology
- R-domain/region, regulatory domain/region
- RMSD, root mean square distance
- Rational drug design and development
- SNP, single-nucleotide polymorphism
- TM, transmembrane helix
- cryo-EM, cryogenic-electron microscopy
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Affiliation(s)
- Vigneshwaran Namasivayam
- Department of Pharmaceutical and Cellbiological Chemistry, Pharmaceutical Institute, University of Bonn, An der Immenburg 4, 53121 Bonn, Germany
| | - Katja Stefan
- Department of Pathology, Section of Neuropathology, Translational Neurodegeneration Research and Neuropathology Lab (www.pahnkelab.eu), University of Oslo and Oslo University Hospital, Sognsvannsveien 20, 0372 Oslo, Norway
| | - Jens Pahnke
- Department of Pathology, Section of Neuropathology, Translational Neurodegeneration Research and Neuropathology Lab (www.pahnkelab.eu), University of Oslo and Oslo University Hospital, Sognsvannsveien 20, 0372 Oslo, Norway
- LIED, University of Lübeck, Ratzeburger Allee 160, 23538 Lübeck, Germany
- Department of Pharmacology, Faculty of Medicine, University of Latvia, Jelgavas iela 1, 1004 Rīga, Latvia
| | - Sven Marcel Stefan
- Department of Pathology, Section of Neuropathology, Translational Neurodegeneration Research and Neuropathology Lab (www.pahnkelab.eu), University of Oslo and Oslo University Hospital, Sognsvannsveien 20, 0372 Oslo, Norway
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Wang JQ, Wu ZX, Yang Y, Li JS, Yang DH, Fan YF, Chen ZS. Establishment and Characterization of a Novel Multidrug Resistant Human Ovarian Cancer Cell Line With Heterogenous MRP7 Overexpression. Front Oncol 2021; 11:731260. [PMID: 34631561 PMCID: PMC8498192 DOI: 10.3389/fonc.2021.731260] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2021] [Accepted: 09/06/2021] [Indexed: 01/22/2023] Open
Abstract
Ovarian cancer is one of the leading female malignancies which accounts for the highest mortality rate among gynecologic cancers. Surgical cytoreduction followed by chemotherapy is the mainstay of treatment. However, patients with recurrent ovarian cancer are likely to exhibit resistance to chemotherapy due to reduced sensitivity to chemotherapeutic drugs. Adenosine triphosphate (ATP)-binding cassette (ABC) transporters have been extensively studied as multidrug resistance (MDR) mediators since they are responsible for the efflux of various anticancer drugs. Multidrug resistance protein 7 (MRP7, or ABCC10) was discovered in 2001 and revealed to transport chemotherapeutic drugs. Till now, only limited knowledge was obtained regarding its roles in ovarian cancer. In this study, we established an MRP7-overexpressing ovarian cancer cell line SKOV3/MRP7 via transfecting recombinant MRP7 plasmids. The SKOV3/MRP7 cell line was resistant to multiple anticancer drugs including paclitaxel, docetaxel, vincristine and vinorelbine with a maximum of 8-fold resistance. Biological function of MRP7 protein was further determined by efflux-accumulation assays. Additionally, MTT results showed that the drug resistance of the SKOV3/MRP7 cells was reversed by cepharanthine, a known inhibitor of MRP7. Moreover, we also found that the overexpression of MRP7 enhanced the migration and epithelial-mesenchymal transition (EMT) induction. In conclusion, we established an in vitro model of MDR in ovarian cancer and suggested MRP7 overexpression as the leading mechanism of chemoresistance in this cell line. Our results demonstrated the potential relationship between MRP7 and ovarian cancer MDR.
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Affiliation(s)
- Jing-Quan Wang
- Department of Pharmaceutical Sciences, College of Pharmacy and Health Sciences, St. John’s University, Queens, NY, United States
| | - Zhuo-Xun Wu
- Department of Pharmaceutical Sciences, College of Pharmacy and Health Sciences, St. John’s University, Queens, NY, United States
| | - Yuqi Yang
- Department of Pharmaceutical Sciences, College of Pharmacy and Health Sciences, St. John’s University, Queens, NY, United States
| | - Jin-Sui Li
- Department of Hepatobiliary Surgery, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Dong-Hua Yang
- Department of Pharmaceutical Sciences, College of Pharmacy and Health Sciences, St. John’s University, Queens, NY, United States
| | - Ying-Fang Fan
- Department of Pharmaceutical Sciences, College of Pharmacy and Health Sciences, St. John’s University, Queens, NY, United States
- Department of Hepatobiliary Surgery, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Zhe-Sheng Chen
- Department of Pharmaceutical Sciences, College of Pharmacy and Health Sciences, St. John’s University, Queens, NY, United States
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