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Quinn RJ, Mak T, Littler DR, Rossjohn J, Liu M. Discovery of Anti-SARS-CoV-2 Nsp9 Binders from Natural Products by a Native Mass Spectrometry Approach. JOURNAL OF NATURAL PRODUCTS 2023; 86:2630-2637. [PMID: 37993134 DOI: 10.1021/acs.jnatprod.3c00636] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/24/2023]
Abstract
The search for effective antiviral agents against SARS-CoV-2 remains a critical global endeavor. In this study, we focused on the viral nucleocapsid protein Nsp9, which is a key player in viral RNA replication and an attractive drug target. Employing a two-pronged approach, an in-house natural product library was screened using native mass spectrometry to identify compounds capable of binding to Nsp9. From the initial screening, apart from the previously reported hit oridonin (protein binding ratio of 0.56 in the initial screening, Kd = 7.2 ± 1.0 μM), we have identified a second Nsp9-interacting compound, the diterpenoid ryanodine, with a protein binding ratio of 0.3 and a Kd of 48.05 ± 5.03 μM. To gain deeper insights into the binding interactions and to explore potential structural requirements, the collision-induced affinity selection mass spectrometry (CIAS-MS) approach allowed us to identify six known oridonin analogues produced by the plant Rabdosia rubescens, each with varying affinities to Nsp9. Native MS validation of their individual binding activities to Nsp9 revealed that all analogues exhibited reduced affinity compared to oridonin. Structural-activity relationship analysis highlighted key functional groups, including 1-OH, 6-OH, 7-OH, and the enone moiety, which are crucial for Nsp9 binding. Combined data from our native mass spectrometry and CIAS-MS approaches provide valuable insights into the molecular interactions between Nsp9 and these compounds.
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Affiliation(s)
- Ronald J Quinn
- Griffith Institute for Drug Discovery, Griffith University, Brisbane, QLD 4111, Australia
| | - Tin Mak
- Griffith Institute for Drug Discovery, Griffith University, Brisbane, QLD 4111, Australia
| | - Dene R Littler
- Infection and Immunity Program & Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Clayton 3800, Victoria, Australia
| | - Jamie Rossjohn
- Infection and Immunity Program & Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Clayton 3800, Victoria, Australia
- Institute of Infection and Immunity, Cardiff University School of Medicine, Heath Park, Cardiff CF14 4XN, United Kingdom
| | - Miaomiao Liu
- Griffith Institute for Drug Discovery, Griffith University, Brisbane, QLD 4111, Australia
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2
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Duez Q, Tinnemans P, Elemans JAAW, Roithová J. Kinetics of ligand exchange in solution: a quantitative mass spectrometry approach. Chem Sci 2023; 14:9759-9769. [PMID: 37736645 PMCID: PMC10510763 DOI: 10.1039/d3sc03342b] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 08/24/2023] [Indexed: 09/23/2023] Open
Abstract
Complex speciation and exchange kinetics of labile ligands are critical parameters for understanding the reactivity of metal complexes in solution. We present a novel approach to determine ligand exchange parameters based on electrospray ionization mass spectrometry (ESI-MS). The introduction of isotopically labelled ligands to a solution of metal host and unlabelled ligands allows the quantitative investigation of the solution-phase equilibria. Furthermore, ion mobility separation can target individual isomers, such as ligands bound at specific sites. As a proof of concept, we investigate the solution equilibria of labile pyridine ligands coordinated in the cavity of macrocyclic porphyrin cage complexes bearing diamagnetic or paramagnetic metal centres. The effects of solvent, porphyrin coordination sphere, transition metal, and counterion on ligand dissociation are discussed. Rate constants and activation parameters for ligand dissociation in the solution can be derived from our ESI-MS approach, thereby providing mechanistic insights that are not easily obtained from traditional solution-phase techniques.
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Affiliation(s)
- Quentin Duez
- Radboud University, Institute for Molecules and Materials Heyendaalseweg 135 6525 AJ Nijmegen The Netherlands
| | - Paul Tinnemans
- Radboud University, Institute for Molecules and Materials Heyendaalseweg 135 6525 AJ Nijmegen The Netherlands
| | - Johannes A A W Elemans
- Radboud University, Institute for Molecules and Materials Heyendaalseweg 135 6525 AJ Nijmegen The Netherlands
| | - Jana Roithová
- Radboud University, Institute for Molecules and Materials Heyendaalseweg 135 6525 AJ Nijmegen The Netherlands
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3
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Gu Y, Liu M, Staker BL, Buchko GW, Quinn RJ. Drug-Repurposing Screening Identifies a Gallic Acid Binding Site on SARS-CoV-2 Non-structural Protein 7. ACS Pharmacol Transl Sci 2023; 6:578-586. [PMID: 37082753 PMCID: PMC10111621 DOI: 10.1021/acsptsci.2c00225] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Indexed: 03/09/2023]
Abstract
SARS-CoV-2 is the agent responsible for acute respiratory disease COVID-19 and the global pandemic initiated in early 2020. While the record-breaking development of vaccines has assisted the control of COVID-19, there is still a pressing global demand for antiviral drugs to halt the destructive impact of this disease. Repurposing clinically approved drugs provides an opportunity to expediate SARS-CoV-2 treatments into the clinic. In an effort to facilitate drug repurposing, an FDA-approved drug library containing 2400 compounds was screened against the SARS-CoV-2 non-structural protein 7 (nsp7) using a native mass spectrometry-based assay. Nsp7 is one of the components of the SARS-CoV-2 replication/transcription complex essential for optimal viral replication, perhaps serving to off-load RNA from nsp8. From this library, gallic acid was identified as a compound that bound tightly to nsp7, with an estimated K d of 15 μM. NMR chemical shift perturbation experiments were used to map the ligand-binding surface of gallic acid on nsp7, indicating that the compound bound to a surface pocket centered on one of the protein's four α-helices (α2). The identification of the gallic acid-binding site on nsp7 may allow development of a SARS-CoV-2 therapeutic via artificial-intelligence-based virtual docking and other strategies.
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Affiliation(s)
- Yushu Gu
- Griffith
Institute for Drug Discovery, Griffith University, Brisbane 4111, Australia
| | - Miaomiao Liu
- Griffith
Institute for Drug Discovery, Griffith University, Brisbane 4111, Australia
| | - Bart L. Staker
- Seattle
Children’s Research Institute, Seattle, Washington 98101, United States
| | - Garry W. Buchko
- Earth
and Biological Sciences Directorate, Pacific
Northwest National Laboratory, Richland, Washington 99354, United States
- School of
Molecular Biosciences, Washington State
University, Pullman, Washington 99164, United States
| | - Ronald J. Quinn
- Griffith
Institute for Drug Discovery, Griffith University, Brisbane 4111, Australia
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4
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Bui D, Li Z, Kitov PI, Han L, Kitova EN, Fortier M, Fuselier C, Granger Joly de Boissel P, Chatenet D, Doucet N, Tompkins SM, St-Pierre Y, Mahal LK, Klassen JS. Quantifying Biomolecular Interactions Using Slow Mixing Mode (SLOMO) Nanoflow ESI-MS. ACS CENTRAL SCIENCE 2022; 8:963-974. [PMID: 35912341 PMCID: PMC9335916 DOI: 10.1021/acscentsci.2c00215] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/16/2023]
Abstract
Electrospray ionization mass spectrometry (ESI-MS) is a powerful label-free assay for detecting noncovalent biomolecular complexes in vitro and is increasingly used to quantify binding thermochemistry. A common assumption made in ESI-MS affinity measurements is that the relative ion signals of free and bound species quantitatively reflect their relative concentrations in solution. However, this is valid only when the interacting species and their complexes have similar ESI-MS response factors (RFs). For many biomolecular complexes, such as protein-protein interactions, this condition is not satisfied. Existing strategies to correct for nonuniform RFs are generally incompatible with static nanoflow ESI (nanoESI) sources, which are typically used for biomolecular interaction studies, thereby significantly limiting the utility of ESI-MS. Here, we introduce slow mixing mode (SLOMO) nanoESI-MS, a direct technique that allows both the RF and affinity (K d) for a biomolecular interaction to be determined from a single measurement using static nanoESI. The approach relies on the continuous monitoring of interacting species and their complexes under nonhomogeneous solution conditions. Changes in ion signals of free and bound species as the system approaches or moves away from a steady-state condition allow the relative RFs of the free and bound species to be determined. Combining the relative RF and the relative abundances measured under equilibrium conditions enables the K d to be calculated. The reliability of SLOMO and its ease of use is demonstrated through affinity measurements performed on peptide-antibiotic, protease-protein inhibitor, and protein oligomerization systems. Finally, affinities measured for the binding of human and bacterial lectins to a nanobody, a viral glycoprotein, and glycolipids displayed within a model membrane highlight the tremendous power and versatility of SLOMO for accurately quantifying a wide range of biomolecular interactions important to human health and disease.
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Affiliation(s)
- Duong
T. Bui
- Department
of Chemistry, University of Alberta, Edmonton, Alberta T6G 2G2, Canada
| | - Zhixiong Li
- Department
of Chemistry, University of Alberta, Edmonton, Alberta T6G 2G2, Canada
| | - Pavel I. Kitov
- Department
of Chemistry, University of Alberta, Edmonton, Alberta T6G 2G2, Canada
| | - Ling Han
- Department
of Chemistry, University of Alberta, Edmonton, Alberta T6G 2G2, Canada
| | - Elena N. Kitova
- Department
of Chemistry, University of Alberta, Edmonton, Alberta T6G 2G2, Canada
| | - Marlène Fortier
- Centre
Armand-Frappier Santé Biotechnologie, Institut National de la Recherche Scientifique (INRS), Université
du Québec, Laval, Québec H7V 1B7, Canada
| | - Camille Fuselier
- Centre
Armand-Frappier Santé Biotechnologie, Institut National de la Recherche Scientifique (INRS), Université
du Québec, Laval, Québec H7V 1B7, Canada
| | - Philippine Granger Joly de Boissel
- Centre
Armand-Frappier Santé Biotechnologie, Institut National de la Recherche Scientifique (INRS), Université
du Québec, Laval, Québec H7V 1B7, Canada
| | - David Chatenet
- Centre
Armand-Frappier Santé Biotechnologie, Institut National de la Recherche Scientifique (INRS), Université
du Québec, Laval, Québec H7V 1B7, Canada
| | - Nicolas Doucet
- Centre
Armand-Frappier Santé Biotechnologie, Institut National de la Recherche Scientifique (INRS), Université
du Québec, Laval, Québec H7V 1B7, Canada
| | - Stephen M. Tompkins
- Center
for Vaccines and Immunology, University
of Georgia, Athens, Georgia 30605, United States
- Emory-UGA
Centers of Excellence for Influenza Research and Surveillance (CEIRS), Emory University School of Medicine, Athens, Georgia 30322, United States
| | - Yves St-Pierre
- Centre
Armand-Frappier Santé Biotechnologie, Institut National de la Recherche Scientifique (INRS), Université
du Québec, Laval, Québec H7V 1B7, Canada
| | - Lara K. Mahal
- Department
of Chemistry, University of Alberta, Edmonton, Alberta T6G 2G2, Canada
| | - John S. Klassen
- Department
of Chemistry, University of Alberta, Edmonton, Alberta T6G 2G2, Canada
- . Telephone: (780) 492-3501. Fax: (780) 492-8231
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Mak T, Rossjohn J, Littler DR, Liu M, Quinn RJ. Collision-Induced Affinity Selection Mass Spectrometry for Identification of Ligands. ACS BIO & MED CHEM AU 2022; 2:450-455. [PMID: 37101899 PMCID: PMC10125361 DOI: 10.1021/acsbiomedchemau.2c00021] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Hyphenated mass spectrometry has been used to identify ligands binding to proteins. It involves mixing protein and compounds, separation of protein-ligand complexes from unbound compounds, dissociation of the protein-ligand complex, separation to remove protein, and injection of the supernatant into a mass spectrometer to observe the ligand. Here we report collision-induced affinity selection mass spectrometry (CIAS-MS), which allows separation and dissociation inside the instrument. The quadrupole was used to select the ligand-protein complex and allow unbound molecules to be exhausted to vacuum. Collision-induced dissociation (CID) dissociated the protein-ligand complex, and the ion guide and resonance frequency were used to selectively detect the ligand. A known SARS-CoV-2 Nsp9 ligand, oridonin, was successfully detected when it was mixed with Nsp9. We provide proof-of-concept data that the CIAS-MS method can be used to identify binding ligands for any purified protein.
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Affiliation(s)
- Tin Mak
- Griffith Institute for Drug Discovery, Griffith University, Brisbane, Queensland 4111, Australia
| | - Jamie Rossjohn
- Infection and Immunity Program and Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Clayton, Victoria 3168, Australia
| | - Dene R. Littler
- Infection and Immunity Program and Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Clayton, Victoria 3168, Australia
| | - Miaomiao Liu
- Griffith Institute for Drug Discovery, Griffith University, Brisbane, Queensland 4111, Australia
| | - Ronald J. Quinn
- Griffith Institute for Drug Discovery, Griffith University, Brisbane, Queensland 4111, Australia
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Towards Unbiased Evaluation of Ionization Performance in LC-HRMS Metabolomics Method Development. Metabolites 2022; 12:metabo12050426. [PMID: 35629930 PMCID: PMC9144264 DOI: 10.3390/metabo12050426] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2022] [Revised: 05/02/2022] [Accepted: 05/07/2022] [Indexed: 11/27/2022] Open
Abstract
As metabolomics increasingly finds its way from basic science into applied and regulatory environments, analytical demands on nontargeted mass spectrometric detection methods continue to rise. In addition to improved chemical comprehensiveness, current developments aim at enhanced robustness and repeatability to allow long-term, inter-study, and meta-analyses. Comprehensive metabolomics relies on electrospray ionization (ESI) as the most versatile ionization technique, and recent liquid chromatography-high resolution mass spectrometry (LC-HRMS) instrumentation continues to overcome technical limitations that have hindered the adoption of ESI for applications in the past. Still, developing and standardizing nontargeted ESI methods and instrumental setups remains costly in terms of time and required chemicals, as large panels of metabolite standards are needed to reflect biochemical diversity. In this paper, we investigated in how far a nontargeted pilot experiment, consisting only of a few measurements of a test sample dilution series and comprehensive statistical analysis, can replace conventional targeted evaluation procedures. To examine this potential, two instrumental ESI ion source setups were compared, reflecting a common scenario in practical method development. Two types of feature evaluations were performed, (a) summary statistics solely involving feature intensity values, and (b) analyses additionally including chemical interpretation. Results were compared in detail to a targeted evaluation of a large metabolite standard panel. We reflect on the advantages and shortcomings of both strategies in the context of current harmonization initiatives in the metabolomics field.
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7
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Zhu D, Su H, Ke C, Tang C, Witt M, Quinn RJ, Xu Y, Liu J, Ye Y. Efficient discovery of potential inhibitors for SARS-CoV-2 3C-like protease from herbal extracts using a native MS-based affinity-selection method. J Pharm Biomed Anal 2021; 209:114538. [PMID: 34929567 PMCID: PMC8670146 DOI: 10.1016/j.jpba.2021.114538] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Revised: 12/10/2021] [Accepted: 12/10/2021] [Indexed: 12/20/2022]
Abstract
The 3C-like protease (3CLpro) of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is essential to the virus life cycle and is supposed to be a potential target for the treatment of coronaviral infection. Traditional Chinese medicines (TCMs) have played an impressive role in the treatment of COVID-19 in China. The effectiveness of TCM formulations prompts scientists to take continuous effort on searching for bioactive small molecules from the ancient resources. Herein, we developed a native mass spectrometry-based affinity-selection method for rapid screening of active small molecules from crude herbal extracts applied for COVID-19 therapy. Six common herbs named Lonicera japonica, Scutellaria baicalensis, Forsythia suspensa, Glycyrrhiza uralensis, Cirsium japonicum, and Andrographis paniculata were investigated. After preliminary separation of the crude extracts, the fractions were incubated with 3CLpro. A native MS-based affinity screening assay was then conducted to search for the protein-ligand complexes. A UHPLC-Q/TOF-MS with UNIFI data acquisition and data processing software was applied to identify the hit compounds. Standard compounds were used to verify the outcomes. Among the 16 hits, three flavonoids, baicalein, scutellarein and ganhuangenin, were identified as potential noncovalent inhibitors against 3CLpro with IC50 values of 0.94, 3.02, and 0.84 μM, respectively. Their binding affinities were further characterized by native MS, with Kd values being 1.43, 3.85, and 1.09 μM, respectively. Overall, we established an efficient native MS-based strategy for discovering 3CLpro ligands from crude mixtures, which supplies a potential strategy of small molecule lead discovery from TCMs.
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Affiliation(s)
- Dafu Zhu
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201203, China; State Key Laboratory of Drug Research, and Natural Products Chemistry Department, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Haixia Su
- University of Chinese Academy of Sciences, Beijing 100049, China; CAS Key Laboratory of Receptor Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China
| | - Changqiang Ke
- State Key Laboratory of Drug Research, and Natural Products Chemistry Department, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China
| | - Chunping Tang
- State Key Laboratory of Drug Research, and Natural Products Chemistry Department, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China
| | | | - Ronald J Quinn
- Griffith Institute for Drug Discovery, Griffith University, Brisbane, QLD 4111, Australia
| | - Yechun Xu
- University of Chinese Academy of Sciences, Beijing 100049, China; CAS Key Laboratory of Receptor Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China; School of Pharmaceutical Science and Technology, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310058, China.
| | - Jia Liu
- Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China; School of Pharmaceutical Science and Technology, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310058, China.
| | - Yang Ye
- School of Life Science and Technology, ShanghaiTech University, Shanghai 201203, China; State Key Laboratory of Drug Research, and Natural Products Chemistry Department, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China; University of Chinese Academy of Sciences, Beijing 100049, China.
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8
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Thorsteinsdóttir UA, Thorsteinsdóttir M. Design of experiments for development and optimization of a liquid chromatography coupled to tandem mass spectrometry bioanalytical assay. JOURNAL OF MASS SPECTROMETRY : JMS 2021; 56:e4727. [PMID: 33860573 DOI: 10.1002/jms.4727] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Revised: 02/15/2021] [Accepted: 03/25/2021] [Indexed: 06/12/2023]
Abstract
Design of experiments (DoE) is a valuable tool for the optimization of quantitative bioanalytical methods utilizing liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS). Liquid chromatography mass spectrometry (LC-MS) is composed of several processes, including, liquid introduction and analyte ionization. The goal is to transfer analytes from atmospheric pressure to vacuum and maintain conditions that are compatible for both LC and MS. These processes involve many experimental factors which need to be simultaneously optimized to obtain maximum sensitivity and resolution at minimum retention time. In this tutorial, the basic concepts of DoE will be explained with focus on practical use of DoE. Three case studies optimized with DoE for liquid chromatography tandem mass spectrometry (LC-MS/MS) quantitative assays will then be presented.
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Affiliation(s)
- Unnur Arna Thorsteinsdóttir
- Faculty of Pharmaceutical Sciences, University of Iceland, Reykjavik, Iceland
- ArcticMass ehf., Reykjavík, Iceland
| | - Margrét Thorsteinsdóttir
- Faculty of Pharmaceutical Sciences, University of Iceland, Reykjavik, Iceland
- ArcticMass ehf., Reykjavík, Iceland
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9
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Development of a target identification approach using native mass spectrometry. Sci Rep 2021; 11:2387. [PMID: 33504855 PMCID: PMC7840913 DOI: 10.1038/s41598-021-81859-4] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Accepted: 01/07/2021] [Indexed: 02/06/2023] Open
Abstract
A key step in the development of new pharmaceutical drugs is the identification of the molecular target and distinguishing this from all other gene products that respond indirectly to the drug. Target identification remains a crucial process and a current bottleneck for advancing hits through the discovery pipeline. Here we report a method, that takes advantage of the specific detection of protein-ligand complexes by native mass spectrometry (MS) to probe the protein partner of a ligand in an untargeted method. The key advantage is that it uses unmodified small molecules for binding and, thereby, it does not require labelled ligands and is not limited by the chemistry required to tag the molecule. We demonstrate the use of native MS to identify known ligand-protein interactions in a protein mixture under various experimental conditions. A protein-ligand complex was successfully detected between parthenolide and thioredoxin (PfTrx) in a five-protein mixture, as well as when parthenolide was mixed in a bacterial cell lysate spiked with PfTrx. We provide preliminary data that native MS could be used to identify binding targets for any small molecule.
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Hu W, Chang L, Ke C, Xie Y, Shen J, Tan B, Liu J. Challenges and stepwise fit-for-purpose optimization for bioanalyses of remdesivir metabolites nucleotide monophosphate and triphosphate in mouse tissues using LC-MS/MS. J Pharm Biomed Anal 2020; 194:113806. [PMID: 33280995 PMCID: PMC7703390 DOI: 10.1016/j.jpba.2020.113806] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2020] [Revised: 11/24/2020] [Accepted: 11/25/2020] [Indexed: 01/18/2023]
Abstract
A robust and reliable LC–MS/MS method for the quantification of RMP and RTP was optimized and validated. The novel method solved the major challenges of direct determination of RMP and RTP in biological matrix through improvement of LC retention, stability and recovery. The method was validated and successfully applied to mouse tissue distribution study. This method provides useful information for further study of remdesivir as well as extends the approach for phosphate determination. The method solved the major challenges for determining RMP and RTP in biological matrix such as LC retention, stability and recovery.
Remdesivir is a prodrug of the nucleotide analogue and used for COVID-19 treatment. However, the bioanalysis of the active metabolites remdesivir nucleotide triphosphate (RTP) and its precursor remdesivir nucleotide monophosphate (RMP) is very challenging. Herein, we established a novel method to separate RTP and RMP on a BioBasic AX column and quantified them by high-performance liquid chromatography-tandem mass spectrometry in positive electrospray ionization mode. Stepwise, we optimized chromatographic retention on an anion exchange column, improved stability in matrix through the addition of 5,5′-dithiobis-(2nitrobenzoic acid) and PhosSTOP EASYpack, and increased recovery by dissociation of tight protein binding with 2 % formic acid aqueous solution. The method allowed lower limit of quantification of 20 nM for RMP and 10 nM for RTP. Method validation demonstrated acceptable accuracy (93.6%–103% for RMP, 94.5%–107% for RTP) and precision (RSD < 11.9 % for RMP, RSD < 11.4 % for RTP), suggesting that it was sensitive and robust for simultaneous quantification of RMP and RTP. The method was successfully applied to analyze RMP and RTP in mouse tissues. In general, the developed method is suitable to monitor RMP and RTP, and provides a useful approach for exploring more detailed effects of remdesivir in treating diseases.
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Affiliation(s)
- Wenjuan Hu
- Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China.
| | - Lu Chang
- Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China.
| | - Changqiang Ke
- Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China.
| | - Yuanchao Xie
- Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China.
| | - Jingshan Shen
- Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China.
| | - Bo Tan
- Clinical Pharmacokinetic Laboratory, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.
| | - Jia Liu
- Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China.
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11
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Du Y, Zhao F, Xing J, Cui M, Liu Z. Investigation of interactions between cytochrome c and ginsenosides by native mass spectrometry and molecular docking simulations. RAPID COMMUNICATIONS IN MASS SPECTROMETRY : RCM 2020; 34:e8853. [PMID: 32511843 DOI: 10.1002/rcm.8853] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/21/2020] [Revised: 05/22/2020] [Accepted: 06/03/2020] [Indexed: 06/11/2023]
Abstract
RATIONALE Ginsenosides are considered to be the main functional components in ginseng and possess various important pharmacological activities. The study of the interactions between ginsenosides and proteins is indispensable for understanding the pharmacological activities of ginsenosides. In this work, the interactions of ginsenosides with cytochrome c (cyt c) were investigated by native mass spectrometry and molecular docking simulations. METHODS The interactions of four ginsenosides (Rb1 , Rb3 , Rf, Rg1 ) and cyt c in NH4 OAc solution were investigated by electrospray ionization linear ion trap mass spectrometry (ESI-LTQ-MS). Molecular docking simulations of cyt c complexes were carried out by AutoDock. RESULTS The native mass spectrometry results showed that the four ginsenosides were directly bound to cyt c, with stoichiometric ratios of 1:1 and 2:1 in NH4 OAc. The order of relative binding abilities of ginsenosides to cyt c obtained by ESI-MS was Rb1 > Rb3 > Rf > Rg1 , which was consistent with the docking results. Moreover, molecular docking simulations also indicated potential binding sites of cyt c and ginsenosides. Hydrogen-bond interaction played a very important role in cyt c binding with ginsenosides. CONCLUSIONS It has been demonstrated that native MS is a useful tool to investigate the interactions of ginsenosides with cyt c. Molecular docking is a good complement to ESI analysis, and can provide information on potential binding sites of cyt c-ginsenoside complexess. This strategy will be helpful to further understand the interactions of proteins and small molecules.
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Affiliation(s)
- Yang Du
- National Center for Mass Spectrometry in Changchun, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, Jilin, 130022, China
- University of Science and Technology of China, Hefei, Anhui, 230029, China
| | - Fengjiao Zhao
- National Center for Mass Spectrometry in Changchun, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, Jilin, 130022, China
- University of Science and Technology of China, Hefei, Anhui, 230029, China
| | - Junpeng Xing
- National Center for Mass Spectrometry in Changchun, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, Jilin, 130022, China
| | - Meng Cui
- National Center for Mass Spectrometry in Changchun, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, Jilin, 130022, China
- University of Science and Technology of China, Hefei, Anhui, 230029, China
| | - Zhiqiang Liu
- National Center for Mass Spectrometry in Changchun, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, Jilin, 130022, China
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12
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Development and Optimization of a High Sensitivity LC-MS/MS Method for the Determination of Hesperidin and Naringenin in Rat Plasma: Pharmacokinetic Approach. Molecules 2020; 25:molecules25184241. [PMID: 32947773 PMCID: PMC7570656 DOI: 10.3390/molecules25184241] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2020] [Revised: 09/01/2020] [Accepted: 09/12/2020] [Indexed: 12/19/2022] Open
Abstract
The purpose of this study was to develop, optimize, and fully validate a high-sensitivity methodology using UHPLC-MS/MS to simultaneously quantify hesperidin and naringenin in microsamples (100 µL) of murine plasma after intragastric administration of single pure flavonoids and a mixture. The optimization process allowed for high sensitivity with detection limits of approximately picogram order using an electrospray ionization (ESI) source in negative mode and an experiment based on multiple reaction monitoring (MRM). The validation parameters showed excellent linearity and detection limits, with a precision of less than 8% and a recovery of over 90%. This methodology was applied to compare the pharmacokinetic parameters for the administration of hesperidin and naringenin in individual form or in the form of a mixture. The results showed an absence of significant effects (p > 0.05) for Tmax and Cmax; however, the AUC presented significant differences (p < 0.05) for both flavonoids when administered as a mixture, showing an improved absorption ratio for both flavonoids.
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Anti-SARS-CoV-2 activities in vitro of Shuanghuanglian preparations and bioactive ingredients. Acta Pharmacol Sin 2020; 41:1167-1177. [PMID: 32737471 PMCID: PMC7393338 DOI: 10.1038/s41401-020-0483-6] [Citation(s) in RCA: 278] [Impact Index Per Article: 69.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2020] [Accepted: 07/14/2020] [Indexed: 12/24/2022] Open
Abstract
Human infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes coronavirus disease 2019 (COVID-19) and there is no cure currently. The 3CL protease (3CLpro) is a highly conserved protease which is indispensable for CoVs replication, and is a promising target for development of broad-spectrum antiviral drugs. In this study we investigated the anti-SARS-CoV-2 potential of Shuanghuanglian preparation, a Chinese traditional patent medicine with a long history for treating respiratory tract infection in China. We showed that either the oral liquid of Shuanghuanglian, the lyophilized powder of Shuanghuanglian for injection or their bioactive components dose-dependently inhibited SARS-CoV-2 3CLpro as well as the replication of SARS-CoV-2 in Vero E6 cells. Baicalin and baicalein, two ingredients of Shuanghuanglian, were characterized as the first noncovalent, nonpeptidomimetic inhibitors of SARS-CoV-2 3CLpro and exhibited potent antiviral activities in a cell-based system. Remarkably, the binding mode of baicalein with SARS-CoV-2 3CLpro determined by X-ray protein crystallography was distinctly different from those of known 3CLpro inhibitors. Baicalein was productively ensconced in the core of the substrate-binding pocket by interacting with two catalytic residues, the crucial S1/S2 subsites and the oxyanion loop, acting as a “shield” in front of the catalytic dyad to effectively prevent substrate access to the catalytic dyad within the active site. Overall, this study provides an example for exploring the in vitro potency of Chinese traditional patent medicines and effectively identifying bioactive ingredients toward a specific target, and gains evidence supporting the in vivo studies of Shuanghuanglian oral liquid as well as two natural products for COVID-19 treatment.
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14
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Elnaas AR, Grice D, Han J, Feng Y, Capua AD, Mak T, Laureanti JA, Buchko GW, Myler PJ, Cook G, Quinn RJ, Liu M. Discovery of a Natural Product That Binds to the Mycobacterium tuberculosis Protein Rv1466 Using Native Mass Spectrometry. Molecules 2020; 25:molecules25102384. [PMID: 32455540 PMCID: PMC7288112 DOI: 10.3390/molecules25102384] [Citation(s) in RCA: 13] [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: 04/25/2020] [Revised: 05/14/2020] [Accepted: 05/18/2020] [Indexed: 12/18/2022] Open
Abstract
Elucidation of the mechanism of action of compounds with cellular bioactivity is important for progressing compounds into future drug development. In recent years, phenotype-based drug discovery has become the dominant approach to drug discovery over target-based drug discovery, which relies on the knowledge of a specific drug target of a disease. Still, when targeting an infectious disease via a high throughput phenotypic assay it is highly advantageous to identifying the compound’s cellular activity. A fraction derived from the plant Polyalthia sp. showed activity against Mycobacterium tuberculosis at 62.5 μge/μL. A known compound, altholactone, was identified from this fraction that showed activity towards M. tuberculosis at an minimum inhibitory concentration (MIC) of 64 μM. Retrospective analysis of a target-based screen against a TB proteome panel using native mass spectrometry established that the active fraction was bound to the mycobacterial protein Rv1466 with an estimated pseudo-Kd of 42.0 ± 6.1 µM. Our findings established Rv1466 as the potential molecular target of altholactone, which is responsible for the observed in vivo toxicity towards M. tuberculosis.
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Affiliation(s)
- Ali R. Elnaas
- Griffith Institute for Drug Discovery, Griffith University, Brisbane, Queensland 4111, Australia; (A.R.E.); (J.H.); (Y.F.); (A.D.C.); (T.M.); (R.J.Q.)
| | - Darren Grice
- Institute for Glycomics, Griffith University, Gold Coast, Queensland 4222, Australia;
| | - Jianying Han
- Griffith Institute for Drug Discovery, Griffith University, Brisbane, Queensland 4111, Australia; (A.R.E.); (J.H.); (Y.F.); (A.D.C.); (T.M.); (R.J.Q.)
| | - Yunjiang Feng
- Griffith Institute for Drug Discovery, Griffith University, Brisbane, Queensland 4111, Australia; (A.R.E.); (J.H.); (Y.F.); (A.D.C.); (T.M.); (R.J.Q.)
| | - Angela Di Capua
- Griffith Institute for Drug Discovery, Griffith University, Brisbane, Queensland 4111, Australia; (A.R.E.); (J.H.); (Y.F.); (A.D.C.); (T.M.); (R.J.Q.)
| | - Tin Mak
- Griffith Institute for Drug Discovery, Griffith University, Brisbane, Queensland 4111, Australia; (A.R.E.); (J.H.); (Y.F.); (A.D.C.); (T.M.); (R.J.Q.)
| | - Joseph A. Laureanti
- Physical and Computational Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA 99354, USA;
| | - Garry W. Buchko
- Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA 99354, USA;
- School of Molecular Biosciences, Washington State University, Pullman, WA 99164, USA
| | - Peter J. Myler
- Center for Global Infectious Disease Research, Seattle Children’s Research Institute, Seattle, WA 98109, USA;
| | - Gregory Cook
- Department of Microbiology and Immunology, University of Otago, Dunedin 9016, New Zealand;
| | - Ronald J. Quinn
- Griffith Institute for Drug Discovery, Griffith University, Brisbane, Queensland 4111, Australia; (A.R.E.); (J.H.); (Y.F.); (A.D.C.); (T.M.); (R.J.Q.)
| | - Miaomiao Liu
- Griffith Institute for Drug Discovery, Griffith University, Brisbane, Queensland 4111, Australia; (A.R.E.); (J.H.); (Y.F.); (A.D.C.); (T.M.); (R.J.Q.)
- Correspondence: ; Tel.: +61-7-3735-6077
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A Phenotarget Approach for Identifying an Alkaloid Interacting with the Tuberculosis Protein Rv1466. Mar Drugs 2020; 18:md18030149. [PMID: 32150903 PMCID: PMC7143284 DOI: 10.3390/md18030149] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2019] [Revised: 02/11/2020] [Accepted: 02/20/2020] [Indexed: 01/10/2023] Open
Abstract
In recent years, there has been a revival of interest in phenotypic-based drug discovery (PDD) due to target-based drug discovery (TDD) falling below expectations. Both PDD and TDD have their unique advantages and should be used as complementary methods in drug discovery. The PhenoTarget approach combines the strengths of the PDD and TDD approaches. Phenotypic screening is conducted initially to detect cellular active components and the hits are then screened against a panel of putative targets. This PhenoTarget protocol can be equally applied to pure compound libraries as well as natural product fractions. Here we described the use of the PhenoTarget approach to identify an anti-tuberculosis lead compound. Fractions from Polycarpa aurata were identified with activity against Mycobacterium tuberculosis H37Rv. Native magnetic resonance mass spectrometry (MRMS) against a panel of 37 proteins from Mycobacterium proteomes showed that a fraction from a 95% ethanol re-extraction specifically formed a protein-ligand complex with Rv1466, a putative uncharacterized Mycobacterium tuberculosis protein. The natural product responsible was isolated and characterized to be polycarpine. The molecular weight of the ligand bound to Rv1466, 233 Da, was half the molecular weight of polycarpine less one proton, indicating that polycarpine formed a covalent bond with Rv1466.
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16
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Teglia CM, Guiñez M, Goicoechea HC, Culzoni MJ, Cerutti S. Enhancement of multianalyte mass spectrometry detection through response surface optimization by least squares and artificial neural network modelling. J Chromatogr A 2019; 1611:460613. [PMID: 31629489 DOI: 10.1016/j.chroma.2019.460613] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2019] [Revised: 10/04/2019] [Accepted: 10/08/2019] [Indexed: 10/25/2022]
Abstract
In this work, the use of design of experiments and posterior data modelling by artificial neural network (ANN) and least squares (LS) is presented as a suitable analytical tool for the performance optimization of a tandem mass spectrometric detector coupled to ultra-high performance liquid chromatography for the analysis of seventeen veterinary drugs. Firstly, a central composite design was built considering as factors the cone, capillary, extractor and radio frequency voltages of the mass spectrometer in order to obtain a proper combination to improve the sensitivity of the method. Secondly, a one factor design considering the collision voltage was built to define the adequate voltage for each daughter ion. The response surface methodology (RSM) was then applied, and the prediction capability of ANN and LS were compared. As conclusion, the ANN modelling provided better results than LS, both in terms of the ANOVA and predicted areas results. The accuracy of the model prediction was between 85 and 125%, confirming that the estimates of the model were correct, and endorsing the optimization procedure as a suitable way to gather excellent results. The suitability of the new approach and its implications on the simultaneous analysis of seventeen veterinary drugs by ultra-high liquid chromatography coupled to tandem mass spectrometry detection are discussed.
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Affiliation(s)
- Carla M Teglia
- Instituto de Química de San Luis (CCT-San Luis), Área de Química Analítica, Facultad de Química Bioquímica y Farmacia, Universidad Nacional de San Luis, Laboratorio de Espectrometría de Masas, Bloque III, Ejército de los Andes 950, San Luis, CP5700, Argentina; Laboratorio de Desarrollo Analítico y Quimiometría (LADAQ), Cátedra de Química Analítica I, Facultad de Bioquímica y Ciencias Biológicas, Universidad Nacional del Litoral, Ciudad Universitaria, 3000, Santa Fe, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Godoy Cruz 2290 CP C1425FQB, Buenos Aires, Argentina
| | - María Guiñez
- Instituto de Química de San Luis (CCT-San Luis), Área de Química Analítica, Facultad de Química Bioquímica y Farmacia, Universidad Nacional de San Luis, Laboratorio de Espectrometría de Masas, Bloque III, Ejército de los Andes 950, San Luis, CP5700, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Godoy Cruz 2290 CP C1425FQB, Buenos Aires, Argentina
| | - Héctor C Goicoechea
- Laboratorio de Desarrollo Analítico y Quimiometría (LADAQ), Cátedra de Química Analítica I, Facultad de Bioquímica y Ciencias Biológicas, Universidad Nacional del Litoral, Ciudad Universitaria, 3000, Santa Fe, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Godoy Cruz 2290 CP C1425FQB, Buenos Aires, Argentina
| | - María J Culzoni
- Laboratorio de Desarrollo Analítico y Quimiometría (LADAQ), Cátedra de Química Analítica I, Facultad de Bioquímica y Ciencias Biológicas, Universidad Nacional del Litoral, Ciudad Universitaria, 3000, Santa Fe, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Godoy Cruz 2290 CP C1425FQB, Buenos Aires, Argentina.
| | - Soledad Cerutti
- Instituto de Química de San Luis (CCT-San Luis), Área de Química Analítica, Facultad de Química Bioquímica y Farmacia, Universidad Nacional de San Luis, Laboratorio de Espectrometría de Masas, Bloque III, Ejército de los Andes 950, San Luis, CP5700, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Godoy Cruz 2290 CP C1425FQB, Buenos Aires, Argentina.
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Metal Chelation Therapy and Parkinson's Disease: A Critical Review on the Thermodynamics of Complex Formation between Relevant Metal Ions and Promising or Established Drugs. Biomolecules 2019; 9:biom9070269. [PMID: 31324037 PMCID: PMC6681387 DOI: 10.3390/biom9070269] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2019] [Revised: 07/03/2019] [Accepted: 07/04/2019] [Indexed: 12/14/2022] Open
Abstract
The present review reports a list of approximately 800 compounds which have been used, tested or proposed for Parkinson’s disease (PD) therapy in the year range 2014–2019 (April): name(s), chemical structure and references are given. Among these compounds, approximately 250 have possible or established metal-chelating properties towards Cu(II), Cu(I), Fe(III), Fe(II), Mn(II), and Zn(II), which are considered to be involved in metal dyshomeostasis during PD. Speciation information regarding the complexes formed by these ions and the 250 compounds has been collected or, if not experimentally available, has been estimated from similar molecules. Stoichiometries and stability constants of the complexes have been reported; values of the cologarithm of the concentration of free metal ion at equilibrium (pM), and of the dissociation constant Kd (both computed at pH = 7.4 and at total metal and ligand concentrations of 10−6 and 10−5 mol/L, respectively), charge and stoichiometry of the most abundant metal–ligand complexes existing at physiological conditions, have been obtained. A rigorous definition of the reported amounts is given, the possible usefulness of this data is described, and the need to characterize the metal–ligand speciation of PD drugs is underlined.
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Moreiras G, Leão JM, Gago-Martínez A. Design of experiments for the optimization of electrospray ionization in the LC-MS/MS analysis of ciguatoxins. JOURNAL OF MASS SPECTROMETRY : JMS 2018; 53:1059-1069. [PMID: 30109731 DOI: 10.1002/jms.4281] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/02/2018] [Revised: 07/30/2018] [Accepted: 08/03/2018] [Indexed: 06/08/2023]
Abstract
Liquid chromatography (LC) coupled to mass spectrometry (MS) is being widely applied as an analytical tool in the field of marine biotoxins both for regulated and for new and emerging compounds. LC-MS/MS recently became the reference method for the control of lipophilic toxins in the European Union, and new methods are being developed and optimized to extend the applicability of this technique to other toxin groups. In this work, conditions for the analysis of ciguatoxins (CTXs) by LC-MS/MS were investigated using standard solutions of CTX1B and CTX3C, which are structurally representative compounds for the rest of the main congeners of Pacific group toxins (P-CTXs). Preliminary studies were carried out for the selection of precursor and product ions used for multiple reaction monitoring. Two transitions based on the chemical structures of CTXs were set up, and mass spectrometer parameters were adjusted for selected reactions monitored. The electrospray ionization source has been carefully optimized through a design of experiments that consisted of a two-level fractional factorial design of resolution IV for the screening of adequate source conditions and of response surface designs for optimization of the main interactions between factors. The statistical approach allowed maximizing the sensitivity on the MS analyzer that provides a good specificity in P-CTX detection, which can be also used for confirmation purposes.
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Affiliation(s)
- Guillermo Moreiras
- Faculty of Chemistry, Department of Analytical and Food Chemistry, University of Vigo, Campus Universitario de Vigo, 36310, Vigo, Spain
| | - José Manuel Leão
- Faculty of Chemistry, Department of Analytical and Food Chemistry, University of Vigo, Campus Universitario de Vigo, 36310, Vigo, Spain
- European Union Reference Laboratory for Marine Biotoxins (EURLMB), CITEXVI, Campus Universitario de Vigo, 36310, Vigo, Spain
| | - Ana Gago-Martínez
- Faculty of Chemistry, Department of Analytical and Food Chemistry, University of Vigo, Campus Universitario de Vigo, 36310, Vigo, Spain
- European Union Reference Laboratory for Marine Biotoxins (EURLMB), CITEXVI, Campus Universitario de Vigo, 36310, Vigo, Spain
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19
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Vu H, Pedro L, Mak T, McCormick B, Rowley J, Liu M, Di Capua A, Williams-Noonan B, Pham NB, Pouwer R, Nguyen B, Andrews KT, Skinner-Adams T, Kim J, Hol WGJ, Hui R, Crowther GJ, Van Voorhis WC, Quinn RJ. Fragment-Based Screening of a Natural Product Library against 62 Potential Malaria Drug Targets Employing Native Mass Spectrometry. ACS Infect Dis 2018; 4:431-444. [PMID: 29436819 PMCID: PMC5902791 DOI: 10.1021/acsinfecdis.7b00197] [Citation(s) in RCA: 45] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
![]()
Natural
products are well known for their biological relevance, high degree
of three-dimensionality, and access to areas of largely unexplored
chemical space. To shape our understanding of the interaction between
natural products and protein targets in the postgenomic era, we have
used native mass spectrometry to investigate 62 potential protein
targets for malaria using a natural-product-based fragment library.
We reveal here 96 low-molecular-weight natural products identified
as binding partners of 32 of the putative malarial targets. Seventy-nine
(79) fragments have direct growth inhibition on Plasmodium
falciparum at concentrations that are promising for the development
of fragment hits against these protein targets. This adds a fragment
library to the published HTS active libraries in the public domain.
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Affiliation(s)
- Hoan Vu
- Griffith Institute for Drug Discovery, Griffith University, 170 Kessels Road, Nathan, Queensland 4111, Australia
| | - Liliana Pedro
- Griffith Institute for Drug Discovery, Griffith University, 170 Kessels Road, Nathan, Queensland 4111, Australia
| | - Tin Mak
- Griffith Institute for Drug Discovery, Griffith University, 170 Kessels Road, Nathan, Queensland 4111, Australia
| | - Brendan McCormick
- Griffith Institute for Drug Discovery, Griffith University, 170 Kessels Road, Nathan, Queensland 4111, Australia
| | - Jessica Rowley
- Griffith Institute for Drug Discovery, Griffith University, 170 Kessels Road, Nathan, Queensland 4111, Australia
| | - Miaomiao Liu
- Griffith Institute for Drug Discovery, Griffith University, 170 Kessels Road, Nathan, Queensland 4111, Australia
| | - Angela Di Capua
- Griffith Institute for Drug Discovery, Griffith University, 170 Kessels Road, Nathan, Queensland 4111, Australia
| | - Billy Williams-Noonan
- Griffith Institute for Drug Discovery, Griffith University, 170 Kessels Road, Nathan, Queensland 4111, Australia
| | - Ngoc B. Pham
- Griffith Institute for Drug Discovery, Griffith University, 170 Kessels Road, Nathan, Queensland 4111, Australia
| | - Rebecca Pouwer
- Griffith Institute for Drug Discovery, Griffith University, 170 Kessels Road, Nathan, Queensland 4111, Australia
| | - Bao Nguyen
- Griffith Institute for Drug Discovery, Griffith University, 170 Kessels Road, Nathan, Queensland 4111, Australia
| | - Katherine T. Andrews
- Griffith Institute for Drug Discovery, Griffith University, 170 Kessels Road, Nathan, Queensland 4111, Australia
| | - Tina Skinner-Adams
- Griffith Institute for Drug Discovery, Griffith University, 170 Kessels Road, Nathan, Queensland 4111, Australia
| | | | | | - Raymond Hui
- Structural Genomics Consortium, University of Toronto, MaRS South Tower, seventh floor 101 College Street, Toronto, Ontario M5G 1L7, Canada
| | | | | | - Ronald J. Quinn
- Griffith Institute for Drug Discovery, Griffith University, 170 Kessels Road, Nathan, Queensland 4111, Australia
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