1
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Dueñas ME, Peltier‐Heap RE, Leveridge M, Annan RS, Büttner FH, Trost M. Advances in high-throughput mass spectrometry in drug discovery. EMBO Mol Med 2023; 15:e14850. [PMID: 36515561 PMCID: PMC9832828 DOI: 10.15252/emmm.202114850] [Citation(s) in RCA: 45] [Impact Index Per Article: 22.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Revised: 10/03/2022] [Accepted: 10/07/2022] [Indexed: 12/15/2022] Open
Abstract
High-throughput (HT) screening drug discovery, during which thousands or millions of compounds are screened, remains the key methodology for identifying active chemical matter in early drug discovery pipelines. Recent technological developments in mass spectrometry (MS) and automation have revolutionized the application of MS for use in HT screens. These methods allow the targeting of unlabelled biomolecules in HT assays, thereby expanding the breadth of targets for which HT assays can be developed compared to traditional approaches. Moreover, these label-free MS assays are often cheaper, faster, and more physiologically relevant than competing assay technologies. In this review, we will describe current MS techniques used in drug discovery and explain their advantages and disadvantages. We will highlight the power of mass spectrometry in label-free in vitro assays, and its application for setting up multiplexed cellular phenotypic assays, providing an exciting new tool for screening compounds in cell lines, and even primary cells. Finally, we will give an outlook on how technological advances will increase the future use and the capabilities of mass spectrometry in drug discovery.
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Affiliation(s)
- Maria Emilia Dueñas
- Laboratory for Biomedical Mass Spectrometry, Biosciences InstituteNewcastle UniversityNewcastle‐upon‐TyneUK
| | - Rachel E Peltier‐Heap
- Discovery Analytical, Screening Profiling and Mechanistic Biology, GSK R&DStevenageUK
| | - Melanie Leveridge
- Discovery Analytical, Screening Profiling and Mechanistic Biology, GSK R&DStevenageUK
| | - Roland S Annan
- Discovery Analytical, Screening Profiling and Mechanistic Biology, GSK R&DStevenageUK
| | - Frank H Büttner
- Drug Discovery Sciences, High Throughput BiologyBoehringer Ingelheim Pharma GmbH&CoKGBiberachGermany
| | - Matthias Trost
- Laboratory for Biomedical Mass Spectrometry, Biosciences InstituteNewcastle UniversityNewcastle‐upon‐TyneUK
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2
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Mittermeier M, Wang B, Said N, Gjorgjevikj D, Wahl MC, Artsimovitch I. A non-native C-terminal extension of the β' subunit compromises RNA polymerase and Rho functions. Mol Microbiol 2022; 117:871-885. [PMID: 35049093 PMCID: PMC9018486 DOI: 10.1111/mmi.14879] [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: 11/16/2021] [Revised: 01/10/2022] [Accepted: 01/11/2022] [Indexed: 11/30/2022]
Abstract
Escherichia coli RfaH abrogates Rho-mediated polarity in lipopolysaccharide core biosynthesis operons, and ΔrfaH cells are hypersensitive to antibiotics, bile salts, and detergents. Selection for rfaH suppressors that restore growth on SDS identified a temperature-sensitive mutant in which 46 C-terminal residues of the RNA polymerase (RNAP) β' subunit are replaced with 23 residues carrying a net positive charge. Based on similarity to rpoC397, which confers a temperature-sensitive phenotype and resistance to bacteriophages, we named this mutant rpoC397*. We show that SDS resistance depends on a single nonpolar residue within the C397* tail, whereas basic residues are dispensable. In line with its mimicry of RfaH, C397* RNAP is resistant to Rho but responds to pause signals, NusA, and NusG in vitro similarly to the wild-type enzyme and binds to Rho and Nus factors in vivo. Strikingly, the deletion of rpoZ, which encodes the ω "chaperone" subunit, restores rpoC397* growth at 42°C but has no effect on SDS sensitivity. Our results suggest that the C397* tail traps the ω subunit in an inhibitory state through direct contacts and hinders Rho-dependent termination through long-range interactions. We propose that the dynamic and hypervariable β'•ω module controls RNA synthesis in response to niche-specific signals.
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Affiliation(s)
- Maura Mittermeier
- Department of Microbiology and The Center for RNA Biology, The Ohio State University, Columbus, Ohio, USA
| | - Bing Wang
- Department of Microbiology and The Center for RNA Biology, The Ohio State University, Columbus, Ohio, USA
| | - Nelly Said
- Laboratory of Structural Biochemistry, Institute of Chemistry and Biochemistry, Freie Universität Berlin, Berlin, Germany
| | - Daniela Gjorgjevikj
- Laboratory of Structural Biochemistry, Institute of Chemistry and Biochemistry, Freie Universität Berlin, Berlin, Germany
| | - Markus C Wahl
- Laboratory of Structural Biochemistry, Institute of Chemistry and Biochemistry, Freie Universität Berlin, Berlin, Germany
| | - Irina Artsimovitch
- Department of Microbiology and The Center for RNA Biology, The Ohio State University, Columbus, Ohio, USA
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3
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Muchiri RN, van Breemen RB. Drug discovery from natural products using affinity selection-mass spectrometry. DRUG DISCOVERY TODAY. TECHNOLOGIES 2021; 40:59-63. [PMID: 34916024 DOI: 10.1016/j.ddtec.2021.10.005] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/24/2020] [Revised: 10/08/2021] [Accepted: 10/11/2021] [Indexed: 12/22/2022]
Abstract
As a starting point for drug discovery, affinity selection-mass spectrometry (AS-MS) is ideal for the discovery of lead compounds from chemically diverse sources such as botanical, fungal and microbial extracts. Based on binding interactions between macromolecular receptors and ligands of low molecular mass, AS-MS enables the rapid isolation of pharmacologically active small molecules from complex mixtures for mass spectrometric characterization and identification. Unlike conventional high-throughput screening, AS-MS requires no radiolabels, no UV or fluorescent chromophores, and is compatible with all classes of receptors, enzymes, incubation buffers, cofactors, and ligands. The most successful types of AS-MS include pulsed ultrafiltration (PUF) AS-MS, size exclusion chromatography (SEC) AS-MS, and magnetic microbead affinity selection screening (MagMASS), which differ in their approaches for separating the ligand-receptor complexes from the non-binding compounds in mixtures. After affinity isolation, the ligand(s) from the mixture are characterized using high resolution UHPLC-MS and tandem mass spectrometry. Based on these elemental composition and structural data, the identities of the lead compounds are determined by searching on-line databases for known natural products and by comparison with standards. The structures of novel natural products are determined using a combination of spectroscopic techniques including two-dimensional NMR and MS.
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Affiliation(s)
- Ruth N Muchiri
- Linus Pauling Institute, Oregon State University, Corvallis, OR 97331, United States; College of Pharmacy, Oregon State University, Corvallis, OR 97331, United States
| | - Richard B van Breemen
- Linus Pauling Institute, Oregon State University, Corvallis, OR 97331, United States; College of Pharmacy, Oregon State University, Corvallis, OR 97331, United States
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4
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Yang D, Zhou Q, Labroska V, Qin S, Darbalaei S, Wu Y, Yuliantie E, Xie L, Tao H, Cheng J, Liu Q, Zhao S, Shui W, Jiang Y, Wang MW. G protein-coupled receptors: structure- and function-based drug discovery. Signal Transduct Target Ther 2021; 6:7. [PMID: 33414387 PMCID: PMC7790836 DOI: 10.1038/s41392-020-00435-w] [Citation(s) in RCA: 331] [Impact Index Per Article: 82.8] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2020] [Revised: 11/30/2020] [Accepted: 12/05/2020] [Indexed: 02/08/2023] Open
Abstract
As one of the most successful therapeutic target families, G protein-coupled receptors (GPCRs) have experienced a transformation from random ligand screening to knowledge-driven drug design. We are eye-witnessing tremendous progresses made recently in the understanding of their structure-function relationships that facilitated drug development at an unprecedented pace. This article intends to provide a comprehensive overview of this important field to a broader readership that shares some common interests in drug discovery.
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Affiliation(s)
- Dehua Yang
- The National Center for Drug Screening, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 201203, Shanghai, China.,The CAS Key Laboratory of Receptor Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 201203, Shanghai, China
| | - Qingtong Zhou
- School of Basic Medical Sciences, Fudan University, 200032, Shanghai, China
| | - Viktorija Labroska
- The National Center for Drug Screening, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 201203, Shanghai, China.,University of Chinese Academy of Sciences, 100049, Beijing, China
| | - Shanshan Qin
- iHuman Institute, ShanghaiTech University, 201210, Shanghai, China
| | - Sanaz Darbalaei
- The National Center for Drug Screening, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 201203, Shanghai, China.,University of Chinese Academy of Sciences, 100049, Beijing, China
| | - Yiran Wu
- iHuman Institute, ShanghaiTech University, 201210, Shanghai, China
| | - Elita Yuliantie
- The National Center for Drug Screening, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 201203, Shanghai, China.,University of Chinese Academy of Sciences, 100049, Beijing, China
| | - Linshan Xie
- iHuman Institute, ShanghaiTech University, 201210, Shanghai, China.,School of Life Science and Technology, ShanghaiTech University, 201210, Shanghai, China
| | - Houchao Tao
- iHuman Institute, ShanghaiTech University, 201210, Shanghai, China
| | - Jianjun Cheng
- iHuman Institute, ShanghaiTech University, 201210, Shanghai, China
| | - Qing Liu
- The National Center for Drug Screening, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 201203, Shanghai, China.,The CAS Key Laboratory of Receptor Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 201203, Shanghai, China
| | - Suwen Zhao
- iHuman Institute, ShanghaiTech University, 201210, Shanghai, China.,School of Life Science and Technology, ShanghaiTech University, 201210, Shanghai, China
| | - Wenqing Shui
- iHuman Institute, ShanghaiTech University, 201210, Shanghai, China. .,School of Life Science and Technology, ShanghaiTech University, 201210, Shanghai, China.
| | - Yi Jiang
- The CAS Key Laboratory of Receptor Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 201203, Shanghai, China.
| | - Ming-Wei Wang
- The National Center for Drug Screening, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 201203, Shanghai, China. .,The CAS Key Laboratory of Receptor Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 201203, Shanghai, China. .,School of Basic Medical Sciences, Fudan University, 200032, Shanghai, China. .,University of Chinese Academy of Sciences, 100049, Beijing, China. .,School of Life Science and Technology, ShanghaiTech University, 201210, Shanghai, China. .,School of Pharmacy, Fudan University, 201203, Shanghai, China.
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5
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Muchiri RN, van Breemen RB. Affinity selection-mass spectrometry for the discovery of pharmacologically active compounds from combinatorial libraries and natural products. JOURNAL OF MASS SPECTROMETRY : JMS 2021; 56:e4647. [PMID: 32955158 DOI: 10.1002/jms.4647] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/04/2020] [Revised: 07/15/2020] [Accepted: 08/11/2020] [Indexed: 05/12/2023]
Abstract
Invented to address the high-throughput screening (HTS) demands of combinatorial chemistry, affinity selection-mass spectrometry (AS-MS) utilizes binding interactions between ligands and receptors to isolate pharmacologically active compounds from mixtures of small molecules and then relies on the selectivity, sensitivity, and speed of mass spectrometry to identify them. No radiolabels, fluorophores, or chromophores are required. Although many variations of AS-MS have been devised, three approaches have emerged as the most flexible, productive, and popular, and they differ primarily in how ligand-receptor complexes are separated from nonbinding compounds in the mixture. These are pulsed ultrafiltration (PUF) AS-MS, size exclusion chromatography (SEC) AS-MS, and magnetic microbead affinity selection screening (MagMASS). PUF and SEC AS-MS are solution-phase screening approaches, and MagMASS uses receptors immobilized on magnetic microbeads. Because pools of compounds are screened using AS-MS, each containing hundreds to thousands of potential ligands, hundreds of thousands of compounds can be screened per day. AS-MS is also compatible with complex mixtures of chemically diverse natural products in extracts of botanicals and fungi and microbial cultures, which often contain fluorophores and chromophores that can interfere with convention HTS. Unlike conventional HTS, AS-MS may be used to discover ligands binding to allosteric as well as orthosteric receptor sites, and AS-MS has been useful for discovering ligands to targets that are not easily incorporated into conventional HTS such as membrane-bound receptors.
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Affiliation(s)
- Ruth N Muchiri
- Linus Pauling Institute, Oregon State University, Corvallis, Oregon, 97331, USA
| | - Richard B van Breemen
- Linus Pauling Institute, Oregon State University, Corvallis, Oregon, 97331, USA
- Department of Pharmaceutical Sciences, Oregon State University, Corvallis, Oregon, 97331, USA
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Kurkela J, Fredman J, Salminen TA, Tyystjärvi T. Revealing secrets of the enigmatic omega subunit of bacterial RNA polymerase. Mol Microbiol 2021; 115:1-11. [PMID: 32920946 DOI: 10.1111/mmi.14603] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Revised: 09/03/2020] [Accepted: 09/04/2020] [Indexed: 12/14/2022]
Abstract
The conserved omega (ω) subunit of RNA polymerase (RNAP) is the only nonessential subunit of bacterial RNAP core. The small ω subunit (7 kDa-11.5 kDa) contains three conserved α helices, and helices α2 and α3 contain five fully conserved amino acids of ω. Four conserved amino acids stabilize the correct folding of the ω subunit and one is located in the vicinity of the β' subunit of RNAP. Otherwise ω shows high variation between bacterial taxa, and although the main interaction partner of ω is always β', many interactions are taxon-specific. ω-less strains show pleiotropic phenotypes, and based on in vivo and in vitro results, a few roles for the ω subunits have been described. Interactions of the ω subunit with the β' subunit are important for the RNAP core assembly and integrity. In addition, the ω subunit plays a role in promoter selection, as ω-less RNAP cores recruit fewer primary σ factors and more alternative σ factors than intact RNAP cores in many species. Furthermore, the promoter selection of an ω-less RNAP holoenzyme bearing the primary σ factor seems to differ from that of an intact RNAP holoenzyme.
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Affiliation(s)
- Juha Kurkela
- Department of Biochemistry/Molecular Plant Biology, University of Turku, Turku, Finland
| | - Julia Fredman
- Faculty of Science and Engineering/Biochemistry/Structural Bioinformatics Laboratory, Åbo Akademi University, Turku, Finland
| | - Tiina A Salminen
- Faculty of Science and Engineering/Biochemistry/Structural Bioinformatics Laboratory, Åbo Akademi University, Turku, Finland
| | - Taina Tyystjärvi
- Department of Biochemistry/Molecular Plant Biology, University of Turku, Turku, Finland
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7
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Tao Y, Yan J, Cai B. LABEL-FREE BIO-AFFINITY MASS SPECTROMETRY FOR SCREENING AND LOCATING BIOACTIVE MOLECULES. MASS SPECTROMETRY REVIEWS 2021; 40:53-71. [PMID: 31755145 DOI: 10.1002/mas.21613] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/17/2019] [Accepted: 11/04/2019] [Indexed: 06/10/2023]
Abstract
Despite the recent increase in the development of bioactive molecules in the drug industry, the enormous chemical space and lack of productivity are still important issues. Additional alternative approaches to screen and locate bioactive molecules are urgently needed. Label-free bio-affinity mass spectrometry (BA-MS) provides opportunities for the discovery and development of innovative drugs. This review provides a comprehensive portrayal of BA-MS techniques and of their applications in screening and locating bioactive molecules. After introducing the basic principles, alongside some application notes, the current state-of-the-art of BA-MS-assisted drug discovery is discussed, including native MS, size-exclusion chromatography-MS, ultrafiltration-MS, solid-phase micro-extraction-MS, and cell membrane chromatography-MS. Finally, several challenges and limitations of the current methods are summarized, with a view to potential future directions for BA-MS-assisted drug discovery. © 2019 John Wiley & Sons Ltd. Mass Spec Rev.
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Affiliation(s)
- Yi Tao
- College of Pharmaceutical Science, Zhejiang University of Technology, Hangzhou, 310032, PR China
| | - Jizhong Yan
- College of Pharmaceutical Science, Zhejiang University of Technology, Hangzhou, 310032, PR China
| | - Baochang Cai
- Jiangsu Key Laboratory of Chinese Medicine Processing, Nanjing University of Chinese Medicine, Nanjing, 210023, PR China
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8
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Gabriel J, Höfner G, Wanner KT. Combination of MS Binding Assays and affinity selection mass spectrometry for screening of structurally homogenous libraries as exemplified for a focused oxime library addressing the neuronal GABA transporter 1. Eur J Med Chem 2020; 206:112598. [PMID: 32896797 DOI: 10.1016/j.ejmech.2020.112598] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2020] [Revised: 06/09/2020] [Accepted: 06/16/2020] [Indexed: 11/30/2022]
Abstract
This study presents an efficient screening approach based on combination of mass spectrometry (MS) based binding assays (MS Binding Assays) and affinity selection mass spectrometry (ASMS) customized for screening of structurally homogeneous libraries sharing a common mass spectrometric fragmentation pattern. After reaction of a nipecotic acid derivative possessing a hydroxylamine functionality with aldehydes, the resulting oxime library was screened accordingly toward the GABA transporter subtype 1 (GAT1), a drug target for several neurological disorders. After assessing sublibraries' activities for inhibition of reporter ligand binding, hits in active ones were directly identified. This could be achieved by recording mass transitions for the reporter ligand as well as those predicted for the library components in a single LC-MS/MS run with a triple quadrupole mass spectrometer in the multiple reaction monitoring mode. Identification of hits with a predefined affinity could be reliably accomplished by calculation of IC50-values from specific binding concentrations of library constituents and reporter ligand. Application of this strategy revealed six hits, from which two of them were resynthesized for further biological evaluation. Thereby, the best one displayed a pKi of 7.38 in MS Binding Assays and a pIC50 of 6.82 in [3H]GABA uptake assays for GAT1.
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Affiliation(s)
- Jürgen Gabriel
- Faculty of Chemistry and Pharmacy, Department of Pharmacy - Center for Drug Research, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Georg Höfner
- Faculty of Chemistry and Pharmacy, Department of Pharmacy - Center for Drug Research, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Klaus T Wanner
- Faculty of Chemistry and Pharmacy, Department of Pharmacy - Center for Drug Research, Ludwig-Maximilians-Universität München, Munich, Germany.
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9
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Exploring new targets and chemical space with affinity selection-mass spectrometry. Nat Rev Chem 2020; 5:62-71. [PMID: 37118102 DOI: 10.1038/s41570-020-00229-2] [Citation(s) in RCA: 48] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/16/2020] [Indexed: 12/15/2022]
Abstract
Affinity selection-mass spectrometry (AS-MS) is a high-throughput screening (HTS) technique for drug discovery that enables rapid screening of large collections of compounds to identify ligands for a specific biomolecular target. AS-MS is a binding assay that is insensitive to the functional effects a ligand might have, which is important because it lets us identify novel ligands irrespective of their binding site. This approach is gaining popularity, notably due to its role in the emergence of useful agents for targeted protein degradation. This Perspective highlights the use of AS-MS techniques to explore broad chemical space and identify small-molecule ligands for biological targets that have proven challenging to address with other screening paradigms. We present chemical structures of reported AS-MS hits to illustrate the potential of this screening approach to deliver high-quality hits for further optimization. AS-MS has, thus, evolved from being an infrequent alternative to traditional HTS or DNA-encoded library strategies to now firmly establishing itself as a HTS approach for drug discovery.
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10
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Haniff HS, Knerr L, Chen JL, Disney MD, Lightfoot HL. Target-Directed Approaches for Screening Small Molecules against RNA Targets. SLAS DISCOVERY : ADVANCING LIFE SCIENCES R & D 2020; 25:869-894. [PMID: 32419578 PMCID: PMC7442623 DOI: 10.1177/2472555220922802] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
RNA molecules have a variety of cellular functions that can drive disease pathologies. They are without a doubt one of the most intriguing yet controversial small-molecule drug targets. The ability to widely target RNA with small molecules could be revolutionary, once the right tools, assays, and targets are selected, thereby defining which biomolecules are targetable and what constitutes drug-like small molecules. Indeed, approaches developed over the past 5-10 years have changed the face of small molecule-RNA targeting by addressing historic concerns regarding affinity, selectivity, and structural dynamics. Presently, selective RNA-protein complex stabilizing drugs such as branaplam and risdiplam are in clinical trials for the modulation of SMN2 splicing, compounds identified from phenotypic screens with serendipitous outcomes. Fully developing RNA as a druggable target will require a target engagement-driven approach, and evolving chemical collections will be important for the industrial development of this class of target. In this review we discuss target-directed approaches that can be used to identify RNA-binding compounds and the chemical knowledge we have today of small-molecule RNA binders.
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Affiliation(s)
- Hafeez S. Haniff
- Department of Chemistry, The Scripps Research Institute, Jupiter, FL, USA
| | - Laurent Knerr
- Medicinal Chemistry, Research and Early Development, Cardiovascular, Renal and Metabolism (CVRM), BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden
| | - Jonathan L. Chen
- Department of Chemistry, The Scripps Research Institute, Jupiter, FL, USA
| | - Matthew D. Disney
- Department of Chemistry, The Scripps Research Institute, Jupiter, FL, USA
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11
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Gabriel J, Höfner G, Wanner KT. A Library Screening Strategy Combining the Concepts of MS Binding Assays and Affinity Selection Mass Spectrometry. Front Chem 2019; 7:665. [PMID: 31637233 PMCID: PMC6787468 DOI: 10.3389/fchem.2019.00665] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2019] [Accepted: 09/18/2019] [Indexed: 01/16/2023] Open
Abstract
The primary objective of early drug development is to identify hits and leads for a target of interest. To achieve this aim, rapid, and reliable screening techniques for a huge number of compounds are needed. Mass spectrometry based binding assays (MS Binding Assays) represent a well-established technique for library screening based on competitive binding experiments revealing active sublibraries due to reduced binding of a reporter ligand and following hit identification for active libraries by deconvolution in further competitive binding experiments. In the present study, we combined the concepts of MS Binding Assays and affinity selection mass spectrometry (ASMS) to improve the efficiency of the hit identification step. In that case, only a single competitive binding experiment is performed that is in the first step analyzed for reduced binding of the reporter ligand and—only if a sublibrary is active—additionally for specific binding of individual library components. Subsequently, affinities of identified hits as well as activities of reduced sublibraries (i.e., all sublibrary components without hit) are assessed in additional competitive binding experiments. We exemplified this screening concept for the identification of ligands addressing the most widespread GABA transporter subtype in the brain (GAT1) studying in the beginning a library composed of 128 and further on a library of 1,280 well-characterized GAT1 inhibitors, drug substances, and pharmacological tool compounds. Determination of sublibraries' activities was done by quantification of bound NO711 as reporter ligand and hit identification for the active ones achieved in a further LC-ESI-MS/MS run in the multiple reaction monitoring mode enabling detection of all sublibrary components followed by hit verification and investigation of reduced sublibraries in further competitive binding experiments. In this way, we could demonstrate that all GAT1 inhibitors reducing reporter ligand binding below 50% at a concentration of 1 μM are detected reliably without generation of false positive or false negative hits. As the described strategy is apart from its reliability also highly efficient, it can be assumed to become a valuable tool in early drug research, especially for membrane integrated drug targets that are often posing problems in established screening techniques.
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Affiliation(s)
- Jürgen Gabriel
- Department of Pharmacy, Faculty of Chemistry and Pharmacy, Ludwig Maximilian University München, Munich, Germany
| | - Georg Höfner
- Department of Pharmacy, Faculty of Chemistry and Pharmacy, Ludwig Maximilian University München, Munich, Germany
| | - Klaus T Wanner
- Department of Pharmacy, Faculty of Chemistry and Pharmacy, Ludwig Maximilian University München, Munich, Germany
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12
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Luo X, Guo R, Xu X, Li X, Yao L, Wang X, Lu H. Mass spectrometry and associated technologies delineate the advantageously biomedical capacity of siderophores in different pathogenic contexts. MASS SPECTROMETRY REVIEWS 2019; 38:239-252. [PMID: 30035815 DOI: 10.1002/mas.21577] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/14/2018] [Accepted: 07/10/2018] [Indexed: 06/08/2023]
Abstract
Siderophores are chemically diverse small molecules produced by microorganisms for chelation of irons to maintain their survival and govern some important biological functions, especially those cause that infections in hosts. Still, siderophores can offer new insight into a better understanding of the diagnosis and treatments of infectious diseases from the siderophore biosynthesis and regulation perspective. Thus, this review aims to summarize the biomedical value and applicability of siderophores in pathogenic contexts by briefly reviewing mass spectrometry (MS)-based chemical biology and translational applications that involve diagnosis, pathogenesis, and therapeutic discovery for a variety of infectious conditions caused by different pathogens. We highlight the advantages and disadvantages of siderophore discovery and applications in pathogenic contexts. Finally, we propose a panel of new and promising strategy as precision-modification metabolomics method, to rapidly advance the discovery of and translational innovations pertaining to these value compounds in broad biomedical niches. © 2018 Wiley Periodicals, Inc. Mass Spec Rev XX:XX-XX, 2018.
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Affiliation(s)
- Xialin Luo
- Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Rui Guo
- Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Xin Xu
- Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, 200240, China
- Department of Pharmacognosy, Center of Excellence for Chinmedomics, Heilongjiang University of Chinese Medicine, Harbin, 150040, China
| | - Xian Li
- Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Li Yao
- Department of Medicinal Chemistry and Natural Medicine Chemistry, Department of Pharmacognosy, College of Pharmacy, Harbin Medical University, Harbin, 150081, China
| | - Xijun Wang
- Department of Pharmacognosy, Center of Excellence for Chinmedomics, Heilongjiang University of Chinese Medicine, Harbin, 150040, China
| | - Haitao Lu
- Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, 200240, China
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13
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Rivera GSM, Beamish CR, Wencewicz TA. Immobilized FhuD2 Siderophore-Binding Protein Enables Purification of Salmycin Sideromycins from Streptomyces violaceus DSM 8286. ACS Infect Dis 2018; 4:845-859. [PMID: 29460625 DOI: 10.1021/acsinfecdis.8b00015] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Siderophores are a structurally diverse class of natural products common to most bacteria and fungi as iron(III)-chelating ligands. Siderophores, including trihydroxamate ferrioxamines, are used clinically to treat iron overload diseases and show promising activity against many other iron-related human diseases. Here, we present a new method for the isolation of ferrioxamine siderophores from complex mixtures using affinity chromatography based on resin-immobilized FhuD2, a siderophore-binding protein (SBP) from Staphylococcus aureus. The SBP-resin enabled purification of charge positive, charge negative, and neutral ferrioxamine siderophores. Treatment of culture supernatants from Streptomyces violaceus DSM 8286 with SBP-resin provided an analytically pure sample of the salmycins, a mixture of structurally complex glycosylated sideromycins (siderophore-antibiotic conjugates) with potent antibacterial activity toward human pathogenic Staphylococcus aureus (minimum inhibitory concentration (MIC) = 7 nM). Siderophore affinity chromatography could enable the rapid discovery of new siderophore and sideromycin natural products from complex mixtures to aid drug discovery and metabolite identification efforts in a broad range of therapeutic areas.
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Affiliation(s)
- Gerry Sann M. Rivera
- Department of Chemistry, Washington University in St. Louis, One Brookings Drive, St. Louis, Missouri 63130, United States
| | - Catherine R. Beamish
- Department of Chemistry, Washington University in St. Louis, One Brookings Drive, St. Louis, Missouri 63130, United States
| | - Timothy A. Wencewicz
- Department of Chemistry, Washington University in St. Louis, One Brookings Drive, St. Louis, Missouri 63130, United States
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14
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Santa Maria JP, Park Y, Yang L, Murgolo N, Altman MD, Zuck P, Adam G, Chamberlin C, Saradjian P, Dandliker P, Boshoff HIM, Barry CE, Garlisi C, Olsen DB, Young K, Glick M, Nickbarg E, Kutchukian PS. Linking High-Throughput Screens to Identify MoAs and Novel Inhibitors of Mycobacterium tuberculosis Dihydrofolate Reductase. ACS Chem Biol 2017; 12:2448-2456. [PMID: 28806050 DOI: 10.1021/acschembio.7b00468] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
Though phenotypic and target-based high-throughput screening approaches have been employed to discover new antibiotics, the identification of promising therapeutic candidates remains challenging. Each approach provides different information, and understanding their results can provide hypotheses for a mechanism of action (MoA) and reveal actionable chemical matter. Here, we describe a framework for identifying efficacy targets of bioactive compounds. High throughput biophysical profiling against a broad range of targets coupled with machine learning was employed to identify chemical features with predicted efficacy targets for a given phenotypic screen. We validate the approach on data from a set of 55 000 compounds in 24 historical internal antibacterial phenotypic screens and 636 bacterial targets screened in high-throughput biophysical binding assays. Models were built to reveal the relationships between phenotype, target, and chemotype, which recapitulated mechanisms for known antibacterials. We also prospectively identified novel inhibitors of dihydrofolate reductase with nanomolar antibacterial efficacy against Mycobacterium tuberculosis. Molecular modeling provided structural insight into target-ligand interactions underlying selective killing activity toward mycobacteria over human cells.
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Affiliation(s)
- John P. Santa Maria
- Modeling & Informatics, Merck Research Laboratories, Boston, Massachusetts, United States
| | - Yumi Park
- National Institute of Allergy and Infectious Diseases, Bethesda, Maryland, United States
| | - Lihu Yang
- Department of Chemistry, Merck Sharp & Dohme Corp., Kenilworth, New Jersey, United States
| | - Nicholas Murgolo
- Department of Information & Analytics, Merck Sharp & Dohme Corp., Kenilworth, New Jersey, United States
| | - Michael D. Altman
- Modeling & Informatics, Merck Research Laboratories, Boston, Massachusetts, United States
| | - Paul Zuck
- Research Science, Merck Sharp & Dohme Corp., North Wales, Pennsylvania, United States
| | - Greg Adam
- Department of Pharmacology, Merck Sharp & Dohme Corp., North Wales, Pennsylvania, United States
| | - Chad Chamberlin
- Department of Pharmacology, Merck Sharp & Dohme Corp., Boston, Massachusetts, United States
| | - Peter Saradjian
- Department of Pharmacology, Merck Sharp & Dohme Corp., Boston, Massachusetts, United States
| | - Peter Dandliker
- Department of Pharmacology, Merck Sharp & Dohme Corp., Boston, Massachusetts, United States
| | - Helena I. M. Boshoff
- National Institute of Allergy and Infectious Diseases, Bethesda, Maryland, United States
| | - Clifton E. Barry
- National Institute of Allergy and Infectious Diseases, Bethesda, Maryland, United States
| | - Charles Garlisi
- Department of Pharmacology, Merck Sharp & Dohme Corp., Kenilworth, New Jersey, United States
| | - David B. Olsen
- Neglected Tropical Disease Discovery, Merck Sharp & Dohme Corp., West Point, Pennsylvania, United States
| | - Katherine Young
- Neglected Tropical Disease Discovery, Merck Sharp & Dohme Corp., West Point, Pennsylvania, United States
| | - Meir Glick
- Modeling & Informatics, Merck Research Laboratories, Boston, Massachusetts, United States
| | - Elliott Nickbarg
- Department of Pharmacology, Merck Sharp & Dohme Corp., Boston, Massachusetts, United States
| | - Peter S. Kutchukian
- Modeling & Informatics, Merck Research Laboratories, Boston, Massachusetts, United States
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