1
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Unsal Tan O, Moncol J, Durantel D. Design, Synthesis and Evaluation of Novel 4‐(4‐Chlorobenzyl)‐6‐methylpyridazin‐3(2
H
)‐one Derivatives as Hepatitis B Virus Inhibitors. ChemistrySelect 2022. [DOI: 10.1002/slct.202203164] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- Oya Unsal Tan
- Department of Pharmaceutical Chemistry Faculty of Pharmacy Hacettepe University Ankara Turkey
| | - Jan Moncol
- Department of Inorganic Chemistry Faculty of Chemical and Food Technology Slovak University of Technology Bratislava Slovakia
| | - David Durantel
- INSERM U1052 Cancer Research Center of Lyon (CRCL) University of Lyon (UCBL1) CNRS UMR 5286, Centre Léon Bérard 69008 Lyon France
- INSERM U1111 International Center for Infectiology Research (CIRI) CNRS UMR_5308 University of Lyon (UCBL1) Lyon France
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2
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Zhang H, Gong X, Peng Y, Saravanan KM, Bian H, Zhang JZH, Wei Y, Pan Y, Yang Y. An Efficient Modern Strategy to Screen Drug Candidates Targeting RdRp of SARS-CoV-2 With Potentially High Selectivity and Specificity. Front Chem 2022; 10:933102. [PMID: 35903186 PMCID: PMC9315156 DOI: 10.3389/fchem.2022.933102] [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: 05/05/2022] [Accepted: 06/06/2022] [Indexed: 01/18/2023] Open
Abstract
Desired drug candidates should have both a high potential binding chance and high specificity. Recently, many drug screening strategies have been developed to screen compounds with high possible binding chances or high binding affinity. However, there is still no good solution to detect whether those selected compounds possess high specificity. Here, we developed a reverse DFCNN (Dense Fully Connected Neural Network) and a reverse docking protocol to check a given compound’s ability to bind diversified targets and estimate its specificity with homemade formulas. We used the RNA-dependent RNA polymerase (RdRp) target as a proof-of-concept example to identify drug candidates with high selectivity and high specificity. We first used a previously developed hybrid screening method to find drug candidates from an 8888-size compound database. The hybrid screening method takes advantage of the deep learning-based method, traditional molecular docking, molecular dynamics simulation, and binding free energy calculated by metadynamics, which should be powerful in selecting high binding affinity candidates. Also, we integrated the reverse DFCNN and reversed docking against a diversified 102 proteins to the pipeline for assessing the specificity of those selected candidates, and finally got compounds that have both predicted selectivity and specificity. Among the eight selected candidates, Platycodin D and Tubeimoside III were confirmed to effectively inhibit SARS-CoV-2 replication in vitro with EC50 values of 619.5 and 265.5 nM, respectively. Our study discovered that Tubeimoside III could inhibit SARS-CoV-2 replication potently for the first time. Furthermore, the underlying mechanisms of Platycodin D and Tubeimoside III inhibiting SARS-CoV-2 are highly possible by blocking the RdRp cavity according to our screening procedure. In addition, the careful analysis predicted common critical residues involved in the binding with active inhibitors Platycodin D and Tubeimoside III, Azithromycin, and Pralatrexate, which hopefully promote the development of non-covalent binding inhibitors against RdRp.
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Affiliation(s)
- Haiping Zhang
- Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- *Correspondence: Yang Yang, ; Haiping Zhang,
| | - Xiaohua Gong
- Shenzhen Key Laboratory of Pathogen and Immunity, National Clinical Research Center for Infectious Disease, State Key Discipline of Infectious Disease, Shenzhen Third People’s Hospital, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen, China
| | - Yun Peng
- Shenzhen Key Laboratory of Pathogen and Immunity, National Clinical Research Center for Infectious Disease, State Key Discipline of Infectious Disease, Shenzhen Third People’s Hospital, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen, China
| | - Konda Mani Saravanan
- Department of Biotechnology, Bharath Institute of Higher Education and Research, Chennai, , India
| | - Hengwei Bian
- Shanghai Engineering Research Center of Molecular Therapeutics and New Drug Development, Shanghai Key Laboratory of Green Chemistry and Chemical Process, School of Chemistry and Molecular Engineering, East China Normal University, Shanghai, China
| | - John Z. H. Zhang
- Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Yanjie Wei
- Center for High Performance Computing, Joint Engineering Research Center for Health Big Data Intelligent Analysis Technology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Yi Pan
- Center for High Performance Computing, Joint Engineering Research Center for Health Big Data Intelligent Analysis Technology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Yang Yang
- Shenzhen Key Laboratory of Pathogen and Immunity, National Clinical Research Center for Infectious Disease, State Key Discipline of Infectious Disease, Shenzhen Third People’s Hospital, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen, China
- *Correspondence: Yang Yang, ; Haiping Zhang,
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3
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Zhang H, Li J, Saravanan KM, Wu H, Wang Z, Wu D, Wei Y, Lu Z, Chen YH, Wan X, Pan Y. An Integrated Deep Learning and Molecular Dynamics Simulation-Based Screening Pipeline Identifies Inhibitors of a New Cancer Drug Target TIPE2. Front Pharmacol 2021; 12:772296. [PMID: 34887765 PMCID: PMC8650684 DOI: 10.3389/fphar.2021.772296] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Accepted: 11/02/2021] [Indexed: 12/31/2022] Open
Abstract
The TIPE2 (tumor necrosis factor-alpha-induced protein 8-like 2) protein is a major regulator of cancer and inflammatory diseases. The availability of its sequence and structure, as well as the critical amino acids involved in its ligand binding, provides insights into its function and helps greatly identify novel drug candidates against TIPE2 protein. With the current advances in deep learning and molecular dynamics simulation-based drug screening, large-scale exploration of inhibitory candidates for TIPE2 becomes possible. In this work, we apply deep learning-based methods to perform a preliminary screening against TIPE2 over several commercially available compound datasets. Then, we carried a fine screening by molecular dynamics simulations, followed by metadynamics simulations. Finally, four compounds were selected for experimental validation from 64 candidates obtained from the screening. With surprising accuracy, three compounds out of four can bind to TIPE2. Among them, UM-164 exhibited the strongest binding affinity of 4.97 µM and was able to interfere with the binding of TIPE2 and PIP2 according to competitive bio-layer interferometry (BLI), which indicates that UM-164 is a potential inhibitor against TIPE2 function. The work demonstrates the feasibility of incorporating deep learning and MD simulation in virtual drug screening and provides high potential inhibitors against TIPE2 for drug development.
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Affiliation(s)
- Haiping Zhang
- Center for High Performance Computing, Joint Engineering Research Center for Health Big Data Intelligent Analysis Technology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Junxin Li
- Shenzhen Laboratory of Human Antibody Engineering, Institute of Biomedicine and Biotechnology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, University City of Shenzhen, Shenzhen, China
| | - Konda Mani Saravanan
- Center for High Performance Computing, Joint Engineering Research Center for Health Big Data Intelligent Analysis Technology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Hao Wu
- Center for High Performance Computing, Joint Engineering Research Center for Health Big Data Intelligent Analysis Technology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Zhichao Wang
- Center for High Performance Computing, Joint Engineering Research Center for Health Big Data Intelligent Analysis Technology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Du Wu
- Center for High Performance Computing, Joint Engineering Research Center for Health Big Data Intelligent Analysis Technology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Yanjie Wei
- Center for High Performance Computing, Joint Engineering Research Center for Health Big Data Intelligent Analysis Technology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Zhen Lu
- Center for Cancer Immunology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, University City of Shenzhen, Shenzhen, China
| | - Youhai H Chen
- Center for Cancer Immunology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, University City of Shenzhen, Shenzhen, China
| | - Xiaochun Wan
- Shenzhen Laboratory of Human Antibody Engineering, Institute of Biomedicine and Biotechnology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, University City of Shenzhen, Shenzhen, China
| | - Yi Pan
- Center for High Performance Computing, Joint Engineering Research Center for Health Big Data Intelligent Analysis Technology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
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4
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Zhang H, Yang Y, Li J, Wang M, Saravanan KM, Wei J, Tze-Yang Ng J, Tofazzal Hossain M, Liu M, Zhang H, Ren X, Pan Y, Peng Y, Shi Y, Wan X, Liu Y, Wei Y. A novel virtual screening procedure identifies Pralatrexate as inhibitor of SARS-CoV-2 RdRp and it reduces viral replication in vitro. PLoS Comput Biol 2020; 16:e1008489. [PMID: 33382685 PMCID: PMC7774833 DOI: 10.1371/journal.pcbi.1008489] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Accepted: 11/03/2020] [Indexed: 01/18/2023] Open
Abstract
The spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus poses serious threats to the global public health and leads to worldwide crisis. No effective drug or vaccine is readily available. The viral RNA-dependent RNA polymerase (RdRp) is a promising therapeutic target. A hybrid drug screening procedure was proposed and applied to identify potential drug candidates targeting RdRp from 1906 approved drugs. Among the four selected market available drug candidates, Pralatrexate and Azithromycin were confirmed to effectively inhibit SARS-CoV-2 replication in vitro with EC50 values of 0.008μM and 9.453 μM, respectively. For the first time, our study discovered that Pralatrexate is able to potently inhibit SARS-CoV-2 replication with a stronger inhibitory activity than Remdesivir within the same experimental conditions. The paper demonstrates the feasibility of fast and accurate anti-viral drug screening for inhibitors of SARS-CoV-2 and provides potential therapeutic agents against COVID-19.
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Affiliation(s)
- Haiping Zhang
- Center for High Performance Computing, Joint Engineering Research Center for Health Big Data Intelligent Analysis Technology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China
| | - Yang Yang
- Shenzhen Key Laboratory of Pathogen and Immunity, National Clinical Research Center for infectious disease, State Key Discipline of Infectious Disease, Shenzhen Third People's Hospital, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen, China
| | - Junxin Li
- Shenzhen Laboratory of Human Antibody Engineering, Institute of Biomedicine and Biotechnology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, University City of Shenzhen, Shenzhen, China
| | - Min Wang
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Konda Mani Saravanan
- Center for High Performance Computing, Joint Engineering Research Center for Health Big Data Intelligent Analysis Technology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China
| | - Jinli Wei
- Shenzhen Key Laboratory of Pathogen and Immunity, National Clinical Research Center for infectious disease, State Key Discipline of Infectious Disease, Shenzhen Third People's Hospital, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen, China
| | - Justin Tze-Yang Ng
- School of Biological Sciences, Nanyang Technological University, Singapore, Singapore
| | - Md. Tofazzal Hossain
- Center for High Performance Computing, Joint Engineering Research Center for Health Big Data Intelligent Analysis Technology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China
- University of Chinese Academy of Sciences, Shijingshan District, Beijing, China
| | - Maoxuan Liu
- Shenzhen Laboratory of Human Antibody Engineering, Institute of Biomedicine and Biotechnology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, University City of Shenzhen, Shenzhen, China
| | - Huiling Zhang
- Center for High Performance Computing, Joint Engineering Research Center for Health Big Data Intelligent Analysis Technology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China
| | - Xiaohu Ren
- Institute of Toxicology, Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Yi Pan
- Department of Computer Science, Georgia State University, Atlanta, Georgia, United States of America
| | - Yin Peng
- Department of Pathology, School of Medicine, Shenzhen University, Shenzhen, China
| | - Yi Shi
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Xiaochun Wan
- Shenzhen Laboratory of Human Antibody Engineering, Institute of Biomedicine and Biotechnology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, University City of Shenzhen, Shenzhen, China
- * E-mail: (XW); (YL); (YW)
| | - Yingxia Liu
- Shenzhen Key Laboratory of Pathogen and Immunity, National Clinical Research Center for infectious disease, State Key Discipline of Infectious Disease, Shenzhen Third People's Hospital, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen, China
- * E-mail: (XW); (YL); (YW)
| | - Yanjie Wei
- Center for High Performance Computing, Joint Engineering Research Center for Health Big Data Intelligent Analysis Technology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China
- * E-mail: (XW); (YL); (YW)
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5
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Wang K, Zhu H, Zhao H, Zhang K, Tian Y. Application of carbamyl in structural optimization. Bioorg Chem 2020; 98:103757. [PMID: 32217370 DOI: 10.1016/j.bioorg.2020.103757] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2019] [Revised: 02/07/2020] [Accepted: 03/12/2020] [Indexed: 12/11/2022]
Abstract
Carbamyl is considered a privileged structure in medicinal chemistry. It has a wide range of biological activities such as antimicrobial, anticancer, anti-epilepsy, for which the best evidence is a number of marketed carbamyl-containing drugs. Carbamyl is formed of primary amine and carbonyl moieties that act as hydrogen bond donors and hydrogen acceptors with residues of targets respectively, which are benefit for improving pharmacological activities. In other cases, the introduced carbamyl improves drug-like properties including oral bioavailability. In this review, we introduce the carbamyl-containing drugs and the application of carbamyl in structural optimization as a result of enhancing activities or/and drug-like properties.
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Affiliation(s)
- Kuanglei Wang
- School of Biotechnology and Health Sciences, Wuyi University, Jiangmen 529020, PR China; International Healthcare Innovation Institute (Jiangmen), Jiangmen 529040, PR China; School of Chemical Engineering and Light Industry, Guangdong University of Technology, Guangzhou 510006, PR China
| | - Hongxi Zhu
- School of Pharmaceutical Engineering, Shenyang Pharmaceutical University, Shenyang 110016, PR China
| | - Hongqian Zhao
- School of Pharmaceutical Engineering, Shenyang Pharmaceutical University, Shenyang 110016, PR China
| | - Kun Zhang
- School of Biotechnology and Health Sciences, Wuyi University, Jiangmen 529020, PR China; International Healthcare Innovation Institute (Jiangmen), Jiangmen 529040, PR China; School of Chemical Engineering and Light Industry, Guangdong University of Technology, Guangzhou 510006, PR China.
| | - Yongshou Tian
- School of Pharmaceutical Engineering, Shenyang Pharmaceutical University, Shenyang 110016, PR China.
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6
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Mitchell MO. Discovering protein-ligand chalcogen bonding in the protein data bank using endocyclic sulfur-containing heterocycles as ligand search subsets. J Mol Model 2017; 23:287. [PMID: 28942498 DOI: 10.1007/s00894-017-3452-3] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2017] [Accepted: 09/05/2017] [Indexed: 01/27/2023]
Abstract
The chalcogen bond, the noncovalent, electrostatic attraction between covalently bonded atoms in group 16 and Lewis bases, is present in protein-ligand interactions based on X-ray structures deposited in the Protein Data Bank (PDB). Discovering protein-ligand chalcogen bonding in the PDB employed a strategy that focused on searching the database for protein complexes of five-membered, heterocyclic ligands containing endocyclic sulfur with endo electron-withdrawing groups (isothiazoles; thiazoles; 1,2,3-, 1,2.4-, 1,2,5-, 1,3,4-thiadiazoles) and thiophenes with exo electron-withdrawing groups, e.g., 2-chloro, 2-bromo, 2-amino, 2-alkylthio. Out of 930 ligands investigated, 33 or 3.5% have protein-ligand S---O interactions of which 31 are chalcogen bonds and two appear to be S---HO hydrogen bonds. The bond angles for some of the chalcogen bonds found in the PDB are less than 90°, and an electrostatic model is proposed to explain this phenomenon.
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Affiliation(s)
- Miguel O Mitchell
- American Institutes for Research, 1000 Thomas Jefferson St. NW, Washington, DC, 20007-3835, USA.
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7
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Ismail NSM, Elzahabi HSA, Sabry P, Baselious FN, AbdelMalak AS, Hanna F. A study of the allosteric inhibition of HCV RNA-dependent RNA polymerase and implementing virtual screening for the selection of promising dual-site inhibitors with low resistance potential. J Recept Signal Transduct Res 2016; 37:341-354. [PMID: 27829320 DOI: 10.1080/10799893.2016.1248293] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Structure-based pharmacophores were generated and validated using the bioactive conformations of different co-crystallized enzyme-inhibitor complexes for allosteric palm-1 and thumb-2 inhibitors of NS5B. Two pharmacophore models were obtained, one for palm-1 inhibitors with sensitivity = 0.929 and specificity = 0.983, and the other for thumb-2 inhibitors with sensitivity = 1 and specificity = 0.979. In addition, a quantitative structure activity relationship (QSAR) models were developed based on using the values of different scoring functions as descriptors predicting the activity on both allosteric binding sites (palm-1 and thumb-2). QSAR studies revealed good predictive and statistically significant two descriptor models (r2 = .837, r2adjusted = .792 and r2prediction = .688 for palm-1 model and r2 = .927, r2adjusted = .908 and r2prediction = .779 for thumb-2 model). External validation for the QSAR models assured their prediction power with r2ext = .72 and .89 for palm-1 and thumb-2, respectively. Different docking protocols were examined for their validity to predict the correct binding poses of inhibitors inside their respective binding sites. Virtual screening was carried out on ZINC database using the generated pharmacophores, the selected valid docking algorithms and QSAR models to find compounds that could theoretically bind to both sites simultaneously.
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Affiliation(s)
- Nasser S M Ismail
- a Pharmaceutical Chemistry Department, Faculty of Pharmaceutical Sciences and Pharmaceutical Industries , Future University , Cairo , Egypt
| | - Heba S A Elzahabi
- b Department of Pharmaceutical Chemistry, Faculty of Pharmacy , Al-Azhar University , Cairo , Egypt
| | - Peter Sabry
- c National Organization for Drug Control and Research , Dokki , Cairo , Egypt
| | - Fady N Baselious
- d Department of Research and Development , Global Napi Pharmaceuticals , 6th October City , Giza , Egypt
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8
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In vitro activity and resistance profile of dasabuvir, a nonnucleoside hepatitis C virus polymerase inhibitor. Antimicrob Agents Chemother 2014; 59:1505-11. [PMID: 25534735 DOI: 10.1128/aac.04619-14] [Citation(s) in RCA: 87] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Dasabuvir (ABT-333) is a nonnucleoside inhibitor of the RNA-dependent RNA polymerase encoded by the hepatitis C virus (HCV) NS5B gene. Dasabuvir inhibited recombinant NS5B polymerases derived from HCV genotype 1a and 1b clinical isolates, with 50% inhibitory concentration (IC50) values between 2.2 and 10.7 nM, and was at least 7,000-fold selective for the inhibition of HCV genotype 1 polymerases over human/mammalian polymerases. In the HCV subgenomic replicon system, dasabuvir inhibited genotype 1a (strain H77) and 1b (strain Con1) replicons with 50% effective concentration (EC50) values of 7.7 and 1.8 nM, respectively, with a 13-fold decrease in inhibitory activity in the presence of 40% human plasma. This level of activity was retained against a panel of chimeric subgenomic replicons that contained HCV NS5B genes from 22 genotype 1 clinical isolates from treatment-naive patients, with EC50s ranging between 0.15 and 8.57 nM. Maintenance of replicon-containing cells in medium containing dasabuvir at concentrations 10-fold or 100-fold greater than the EC50 resulted in selection of resistant replicon clones. Sequencing of the NS5B coding regions from these clones revealed the presence of variants, including C316Y, M414T, Y448C, Y448H, and S556G, that are consistent with binding to the palm I site of HCV polymerase. Consequently, dasabuvir retained full activity against replicons known to confer resistance to other polymerase inhibitors, including the S282T variant in the nucleoside binding site and the M423T, P495A, P495S, and V499A single variants in the thumb domain. The use of dasabuvir in combination with inhibitors targeting HCV NS3/NS4A protease (ABT-450 with ritonavir) and NS5A (ombitasvir) is in development for the treatment of HCV genotype 1 infections.
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9
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Yu H, Fang Y, Lu X, Liu Y, Zhang H. Combined 3D-QSAR, molecular docking, molecular dynamics simulation, and binding free energy calculation studies on the 5-hydroxy-2H-pyridazin-3-one derivatives as HCV NS5B polymerase inhibitors. Chem Biol Drug Des 2013; 83:89-105. [PMID: 23941500 DOI: 10.1111/cbdd.12203] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2013] [Revised: 06/08/2013] [Accepted: 06/19/2013] [Indexed: 12/14/2022]
Abstract
The NS5B RNA-dependent RNA polymerase (RdRP) is a promising therapeutic target for developing novel anti-hepatitis C virus (HCV) drugs. In this work, a combined molecular modeling study was performed on a series of 193 5-hydroxy-2H-pyridazin-3-one derivatives as inhibitors of HCV NS5B Polymerase. The best 3D-QSAR models, including CoMFA and CoMSIA, are based on receptor (or docking). Furthermore, a 40-ns molecular dynamics (MD) simulation and binding free energy calculations using docked structures of NS5B with ten compounds, which have diverse structures and pIC50 values, were employed to determine the detailed binding process and to compare the binding modes of the inhibitors with different activities. On one side, the stability and rationality of molecular docking and 3D-QSAR results were validated by MD simulation. The binding free energies calculated by the MM-PBSA method gave a good correlation with the experimental biological activity. On the other side, by analyzing some differences between the molecular docking and the MD simulation results, we can find that the MD simulation could also remedy the defects of molecular docking. The analyses of the combined molecular modeling results have identified that Tyr448, Ser556, and Asp318 are the key amino acid residues in the NS5B binding pocket. The results from this study can provide some insights into the development of novel potent NS5B inhibitors.
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Affiliation(s)
- Haijing Yu
- Key Laboratory of Radiopharmaceuticals of Ministry of Education, College of Chemistry, Beijing Normal University, Beijing, 100875, China
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10
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Accounting for Target Flexibility and Water Molecules by Docking to Ensembles of Target Structures: The HCV NS5B Palm Site I Inhibitors Case Study. J Chem Inf Model 2013; 54:481-97. [DOI: 10.1021/ci400367m] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
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11
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Tebby C, Mombelli E. Modelling Structure Activity Landscapes with Cliffs: a Kernel Regression-Based Approach. Mol Inform 2013; 32:609-23. [DOI: 10.1002/minf.201300016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2013] [Accepted: 04/19/2013] [Indexed: 11/08/2022]
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12
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Weidlich IE, Filippov IV, Brown J, Kaushik-Basu N, Krishnan R, Nicklaus MC, Thorpe IF. Inhibitors for the hepatitis C virus RNA polymerase explored by SAR with advanced machine learning methods. Bioorg Med Chem 2013; 21:3127-37. [PMID: 23608107 PMCID: PMC3653294 DOI: 10.1016/j.bmc.2013.03.032] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2013] [Revised: 03/10/2013] [Accepted: 03/18/2013] [Indexed: 12/30/2022]
Abstract
Hepatitis C virus (HCV) is a global health challenge, affecting approximately 200 million people worldwide. In this study we developed SAR models with advanced machine learning classifiers Random Forest and k Nearest Neighbor Simulated Annealing for 679 small molecules with measured inhibition activity for NS5B genotype 1b. The activity was expressed as a binary value (active/inactive), where actives were considered molecules with IC50 ≤0.95 μM. We applied our SAR models to various drug-like databases and identified novel chemical scaffolds for NS5B inhibitors. Subsequent in vitro antiviral assays suggested a new activity for an existing prodrug, Candesartan cilexetil, which is currently used to treat hypertension and heart failure but has not been previously tested for anti-HCV activity. We also identified NS5B inhibitors with two novel non-nucleoside chemical motifs.
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Affiliation(s)
- Iwona E. Weidlich
- Department of Chemistry and Biochemistry, University of Maryland, Baltimore County, 1000 Hilltop Circle, Baltimore, MD 21250
- Chemical Biology Laboratory, Center for Cancer Research, National Cancer Institute, NIH, DHHS, Frederick National Laboratory for Cancer Research, 376 Boyles Street, Frederick, MD 21702
- Computational Drug Design Systems (CODDES) LLC, Rockville, MD
| | - Igor V. Filippov
- Chemical Biology Laboratory, Center for Cancer Research, SAIC-Frederick, Inc., 376 Boyles Street, Frederick, MD 21702
| | - Jodian Brown
- Department of Chemistry and Biochemistry, University of Maryland, Baltimore County, 1000 Hilltop Circle, Baltimore, MD 21250
| | - Neerja Kaushik-Basu
- Department of Biochemistry and Molecular Biology, UMDNJ New Jersey Medical School, 185 South Orange Ave, Newark, NJ 07103
| | - Ramalingam Krishnan
- Department of Biochemistry and Molecular Biology, UMDNJ New Jersey Medical School, 185 South Orange Ave, Newark, NJ 07103
| | - Marc C. Nicklaus
- Chemical Biology Laboratory, Center for Cancer Research, National Cancer Institute, NIH, DHHS, Frederick National Laboratory for Cancer Research, 376 Boyles Street, Frederick, MD 21702
| | - Ian F. Thorpe
- Department of Chemistry and Biochemistry, University of Maryland, Baltimore County, 1000 Hilltop Circle, Baltimore, MD 21250
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13
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Tebby C, Mombelli E. A Kernel-Based Method for Assessing Uncertainty on Individual QSAR Predictions. Mol Inform 2012; 31:741-51. [DOI: 10.1002/minf.201200053] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2012] [Accepted: 08/08/2012] [Indexed: 11/08/2022]
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14
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Haudecoeur R, Peuchmaur M, Ahmed-Belkacem A, Pawlotsky JM, Boumendjel A. Structure-Activity Relationships in the Development of Allosteric Hepatitis C Virus RNA-Dependent RNA Polymerase Inhibitors: Ten Years of Research. Med Res Rev 2012; 33:934-84. [DOI: 10.1002/med.21271] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Affiliation(s)
- Romain Haudecoeur
- Département de Pharmacochimie Moléculaire; Université de Grenoble/CNRS; UMR 5063, BP 53; 38041; Grenoble Cedex 9; France
| | - Marine Peuchmaur
- Département de Pharmacochimie Moléculaire; Université de Grenoble/CNRS; UMR 5063, BP 53; 38041; Grenoble Cedex 9; France
| | | | | | - Ahcène Boumendjel
- Département de Pharmacochimie Moléculaire; Université de Grenoble/CNRS; UMR 5063, BP 53; 38041; Grenoble Cedex 9; France
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15
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Finger-loop inhibitors of the HCV NS5b polymerase. Part 1: Discovery and optimization of novel 1,6- and 2,6-macrocyclic indole series. Bioorg Med Chem Lett 2012; 22:4431-6. [DOI: 10.1016/j.bmcl.2012.03.097] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2012] [Revised: 03/27/2012] [Accepted: 03/28/2012] [Indexed: 12/26/2022]
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16
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Classification of HCV NS5B polymerase inhibitors using support vector machine. Int J Mol Sci 2012; 13:4033-4047. [PMID: 22605964 PMCID: PMC3344200 DOI: 10.3390/ijms13044033] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2011] [Revised: 02/03/2012] [Accepted: 03/19/2012] [Indexed: 12/29/2022] Open
Abstract
Using a support vector machine (SVM), three classification models were built to predict whether a compound is an active or weakly active inhibitor based on a dataset of 386 hepatitis C virus (HCV) NS5B polymerase NNIs (non-nucleoside analogue inhibitors) fitting into the pocket of the NNI III binding site. For each molecule, global descriptors, 2D and 3D property autocorrelation descriptors were calculated from the program ADRIANA.Code. Three models were developed with the combination of different types of descriptors. Model 2 based on 16 global and 2D autocorrelation descriptors gave the highest prediction accuracy of 88.24% and MCC (Matthews correlation coefficient) of 0.789 on test set. Model 1 based on 13 global descriptors showed the highest prediction accuracy of 86.25% and MCC of 0.732 on external test set (including 80 compounds). Some molecular properties such as molecular shape descriptors (InertiaZ, InertiaX and Span), number of rotatable bonds (NRotBond), water solubility (LogS), and hydrogen bonding related descriptors performed important roles in the interactions between the ligand and NS5B polymerase.
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17
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Recent advances in drug discovery of benzothiadiazine and related analogs as HCV NS5B polymerase inhibitors. Bioorg Med Chem 2011; 19:4690-703. [PMID: 21798747 DOI: 10.1016/j.bmc.2011.06.079] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2011] [Revised: 06/22/2011] [Accepted: 06/27/2011] [Indexed: 01/27/2023]
Abstract
Hepatitis C virus (HCV) is a major health burden, with an estimated 170 million chronically infected individuals worldwide, and a leading cause of liver transplantation. Patients are at increased risk of developing liver cirrhosis, hepatocellular carcinoma and even liver failure. In the past two decades, several approaches have been adopted to inhibit non-structural viral proteins. The RNA-dependent RNA polymerase (NS5B) of HCV is one of the attractive validated targets for development of new drugs to block HCV infection. In this review, we report the recent progress made towards identifying and developing benzothiadiazines as HCV NS5B polymerase inhibitors. The substituted benzothiadiazine class was identified by HTS in 2002 as an NS5B inhibitor. Further optimization and modification of the core has improved the potency and pharmacokinetic properties of substituted benzothiadiazines. Research on palm site-binding benzothiadiazine analogs and related derivatives and analogs is discussed in this article.
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18
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Lin YT, Huang KJ, Tseng CK, Chen KJ, Wang HM, Lee JC. Efficient in silico assay of inhibitors of hepatitis C Virus RNA-dependent RNA polymerase by structure-based virtual screening and in vitro evaluation. Assay Drug Dev Technol 2011; 9:290-8. [PMID: 21281131 DOI: 10.1089/adt.2010.0341] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023] Open
Abstract
To identify a new protective or therapeutic intervention for hepatitis C virus (HCV) infection, we performed efficient structure-based virtual screening to identify novel inhibitory agents for HCV. To this end, we selected NS5B, an RNA-dependent RNA polymerase (RdRp), as the target for the treatment of HCV infection. To decipher the dockable nature of various RdRp X-ray crystals, we docked the crystal ligand (inhibitor) to the crystal receptor (enzyme). The accuracy of regeneration of the crystal pose indicates the amenability of the RdRp binding pocket for structure-based virtual screening. We also utilized a consensus scoring scheme to reduce false positives, thereby ensuring efficient virtual screening. In this study, each molecule that ranked in the top 1% among all screening molecules gained 1 consensus point in a scoring function. Thus, after virtual screening of 57,177 chemicals from the Maybridge Screening collection, 14 molecules gained 8 points across 11 scoring functions. One of them, an isoxazole, showed significant dose-dependent inhibition of HCV RdRp activity and replication. In this study, we have developed a structure-based virtual screening method using HCV RdRp for efficient identification of novel inhibitors.
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Affiliation(s)
- Ying-Ting Lin
- Department of Biotechnology, College of Life Sciences, Kaohsiung Medical University, Taiwan.
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19
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Pourbasheer E, Riahi S, Ganjali MR, Norouzi P. QSAR study of C allosteric binding site of HCV NS5B polymerase inhibitors by support vector machine. Mol Divers 2010; 15:645-53. [DOI: 10.1007/s11030-010-9283-0] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2010] [Accepted: 09/20/2010] [Indexed: 11/29/2022]
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20
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Kim J, Lee SY, Lee J, Do Y, Chang S. Synthetic utility of ammonium salts in a Cu-catalyzed three-component reaction as a facile coupling partner. J Org Chem 2010; 73:9454-7. [PMID: 18956843 DOI: 10.1021/jo802014g] [Citation(s) in RCA: 95] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Ammonium salts were found to be a convenient and inexpensive reagent in the Cu-catalyzed three-component reaction with terminal alkynes and sulfonyl or phosphoryl azides leading to N-unprotected amidines. Thus obtained amidines bearing 2-bromobenzenesulfonyl moiety were efficiently cyclized by the Cu-catalyzed intramolecular N-arylation to give an important pharmacophore skeleton of 2H-1,2,4-benzothiadiazine 1,1-dioxides. Conveniently, two tandem catalytic procedures could be readily operated in one pot.
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Affiliation(s)
- Jinho Kim
- Department of Chemistry and School of Molecular Science (BK21), Korea Advanced Institute of Science and Technology, Daejeon 305-701, Republic of Korea
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21
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Non-nucleoside inhibitors of hepatitis C virus polymerase: current progress and future challenges. Future Med Chem 2010; 2:121-41. [DOI: 10.4155/fmc.09.148] [Citation(s) in RCA: 25] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
The current standard of care for hepatitis C virus (HCV) infection is a combination of PEGylated interferon and ribavirin, which offer limited efficacy and significant side effects. Novel HCV-specific inhibitors, including those directed at the viral polymerase, have become the focus of HCV drug-discovery efforts in the past decade. In addition to the active site targeted by traditional nucleoside inhibitors, at least four different allosteric-binding sites have been reported for the HCV polymerase, which offer ample opportunities for small-molecule inhibitors. In this review, we summarize the recent progress in the discovery of non-nucleoside HCV polymerase inhibitors with a focus on novel chemical matters, their clinical efficacy, safety and potential for combination therapy.
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22
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Ruebsam F, Murphy DE, Tran CV, Li LS, Zhao J, Dragovich PS, McGuire HM, Xiang AX, Sun Z, Ayida BK, Blazel JK, Kim SH, Zhou Y, Han Q, Kissinger CR, Webber SE, Showalter RE, Shah AM, Tsan M, Patel RA, Thompson PA, Lebrun LA, Hou HJ, Kamran R, Sergeeva MV, Bartkowski DM, Nolan TG, Norris DA, Khandurina J, Brooks J, Okamoto E, Kirkovsky L. Discovery of tricyclic 5,6-dihydro-1H-pyridin-2-ones as novel, potent, and orally bioavailable inhibitors of HCV NS5B polymerase. Bioorg Med Chem Lett 2009; 19:6404-12. [PMID: 19818610 DOI: 10.1016/j.bmcl.2009.09.045] [Citation(s) in RCA: 36] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2009] [Revised: 09/13/2009] [Accepted: 09/14/2009] [Indexed: 11/27/2022]
Abstract
A novel series of non-nucleoside small molecules containing a tricyclic dihydropyridinone structural motif was identified as potent HCV NS5B polymerase inhibitors. Driven by structure-based design and building on our previous efforts in related series of molecules, we undertook extensive SAR studies, in which we identified a number of metabolically stable and very potent compounds in genotype 1a and 1b replicon assays. This work culminated in the discovery of several inhibitors, which combined potent in vitro antiviral activity against both 1a and 1b genotypes, metabolic stability, good oral bioavailability, and high C(12) (PO)/EC(50) ratios.
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Affiliation(s)
- Frank Ruebsam
- Department of Medicinal Chemistry, Anadys Pharmaceuticals, Inc., 5871 Oberlin Drive, Suite 200, San Diego, CA 92121, USA.
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23
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Ellis DA, Blazel JK, Tran CV, Ruebsam F, Murphy DE, Li LS, Zhao J, Zhou Y, McGuire HM, Xiang AX, Webber SE, Zhao Q, Han Q, Kissinger CR, Lardy M, Gobbi A, Showalter RE, Shah AM, Tsan M, Patel RA, LeBrun LA, Kamran R, Bartkowski DM, Nolan TG, Norris DA, Sergeeva MV, Kirkovsky L. 5,5'- and 6,6'-dialkyl-5,6-dihydro-1H-pyridin-2-ones as potent inhibitors of HCV NS5B polymerase. Bioorg Med Chem Lett 2009; 19:6047-52. [PMID: 19796938 DOI: 10.1016/j.bmcl.2009.09.051] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2009] [Revised: 09/09/2009] [Accepted: 09/14/2009] [Indexed: 11/16/2022]
Abstract
The discovery of 5,5'- and 6,6'-dialkyl-5,6-dihydro-1H-pyridin-2-ones as potent inhibitors of the HCV RNA-dependent RNA polymerase (NS5B) is described. Several of these agents also display potent antiviral activity in cell culture experiments (EC50 <0.10 microM). In vitro DMPK data for selected compounds as well as crystal structures of representative inhibitors complexed with the NS5B protein are also disclosed.
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Affiliation(s)
- David A Ellis
- Anadys Pharmaceuticals, Inc., 3115 Merryfield Row, San Diego, CA 92121, USA
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24
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Manlove A, Groziak MP. Chapter 6.2: Six-Membered Ring Systems: Diazines and Benzo Derivatives. PROGRESS IN HETEROCYCLIC CHEMISTRY 2009. [DOI: 10.1016/s0959-6380(09)70040-6] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/04/2022]
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25
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Ruebsam F, Tran CV, Li LS, Kim SH, Xiang AX, Zhou Y, Blazel JK, Sun Z, Dragovich PS, Zhao J, McGuire HM, Murphy DE, Tran MT, Stankovic N, Ellis DA, Gobbi A, Showalter RE, Webber SE, Shah AM, Tsan M, Patel RA, Lebrun LA, Hou HJ, Kamran R, Sergeeva MV, Bartkowski DM, Nolan TG, Norris DA, Kirkovsky L. 5,6-Dihydro-1H-pyridin-2-ones as potent inhibitors of HCV NS5B polymerase. Bioorg Med Chem Lett 2008; 19:451-8. [PMID: 19054673 DOI: 10.1016/j.bmcl.2008.11.048] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2008] [Revised: 11/12/2008] [Accepted: 11/13/2008] [Indexed: 11/27/2022]
Abstract
5,6-Dihydro-1H-pyridin-2-one analogs were discovered as a novel class of inhibitors of genotype 1 HCV NS5B polymerase. Among these, compound 4ad displayed potent inhibitory activities in biochemical and replicon assays (IC(50) (1b)<10nM; IC(50) (1a)<25nM, EC(50) (1b)=16nM), good in vitro DMPK properties, as well as moderate oral bioavailability in monkeys (F=24%).
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Affiliation(s)
- Frank Ruebsam
- Department of Medicinal Chemistry, Anadys Pharmaceuticals, Inc., 3115 Merryfield Row, San Diego, CA 92121, USA.
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26
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Hexahydro-pyrrolo- and hexahydro-1H-pyrido[1,2-b]pyridazin-2-ones as potent inhibitors of HCV NS5B polymerase. Bioorg Med Chem Lett 2008; 18:5002-5. [DOI: 10.1016/j.bmcl.2008.08.017] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2008] [Revised: 08/05/2008] [Accepted: 08/06/2008] [Indexed: 11/19/2022]
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27
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Dragovich PS, Blazel JK, Ellis DA, Han Q, Kamran R, Kissinger CR, LeBrun LA, Li LS, Murphy DE, Noble M, Patel RA, Ruebsam F, Sergeeva MV, Shah AM, Showalter RE, Tran CV, Tsan M, Webber SE, Kirkovsky L, Zhou Y. Novel HCV NS5B polymerase inhibitors derived from 4-(1',1'-dioxo-1',4'-dihydro-1'lambda(6)-benzo[1',2',4']thiadiazin-3'-yl)-5-hydroxy-2H-pyridazin-3-ones. Part 5: Exploration of pyridazinones containing 6-amino-substituents. Bioorg Med Chem Lett 2008; 18:5635-9. [PMID: 18796353 DOI: 10.1016/j.bmcl.2008.08.094] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2008] [Revised: 08/24/2008] [Accepted: 08/26/2008] [Indexed: 10/21/2022]
Abstract
The synthesis of 4-(1',1'-dioxo-1',4'-dihydro-1'lambda(6)-benzo[1',2',4']thiadiazin-3'-yl)-5-hydroxy-2H-pyridazin-3-ones bearing 6-amino substituents as potent inhibitors of the HCV RNA-dependent RNA polymerase (NS5B) is described. Several of these agents also display potent antiviral activity in cell culture experiments (EC(50)<0.10 microM). In vitro DMPK data (microsome t(1/2), Caco-2 P(app)) for many of the compounds are also disclosed, and a crystal structure of a representative inhibitor complexed with the NS5B protein is discussed.
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Affiliation(s)
- Peter S Dragovich
- Anadys Pharmaceuticals, Inc., 3115 Merryfield Row, San Diego, CA 92121, USA.
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28
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Ellis DA, Blazel JK, Webber SE, Tran CV, Dragovich PS, Sun Z, Ruebsam F, McGuire HM, Xiang AX, Zhao J, Li LS, Zhou Y, Han Q, Kissinger CR, Showalter RE, Lardy M, Shah AM, Tsan M, Patel R, LeBrun LA, Kamran R, Bartkowski DM, Nolan TG, Norris DA, Sergeeva MV, Kirkovsky L. 4-(1,1-Dioxo-1,4-dihydro-1λ6-benzo[1,4]thiazin-3-yl)-5-hydroxy-2H-pyridazin-3-ones as potent inhibitors of HCV NS5B polymerase. Bioorg Med Chem Lett 2008; 18:4628-32. [DOI: 10.1016/j.bmcl.2008.07.014] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2008] [Revised: 07/02/2008] [Accepted: 07/07/2008] [Indexed: 11/29/2022]
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29
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Novel HCV NS5B polymerase inhibitors derived from 4-(1′,1′-dioxo-1′,4′-dihydro-1′λ6-benzo[1′,2′,4′]thiadiazin-3′-yl)-5-hydroxy-2H-pyridazin-3-ones: Part 4. Optimization of DMPK properties. Bioorg Med Chem Lett 2008; 18:3421-6. [DOI: 10.1016/j.bmcl.2008.04.005] [Citation(s) in RCA: 15] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2008] [Revised: 03/30/2008] [Accepted: 04/01/2008] [Indexed: 10/22/2022]
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30
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Kim SH, Tran MT, Ruebsam F, Xiang AX, Ayida B, McGuire H, Ellis D, Blazel J, Tran CV, Murphy DE, Webber SE, Zhou Y, Shah AM, Tsan M, Showalter RE, Patel R, Gobbi A, LeBrun LA, Bartkowski DM, Nolan TG, Norris DA, Sergeeva MV, Kirkovsky L, Zhao Q, Han Q, Kissinger CR. Structure-based design, synthesis, and biological evaluation of 1,1-dioxoisothiazole and benzo[b]thiophene-1,1-dioxide derivatives as novel inhibitors of hepatitis C virus NS5B polymerase. Bioorg Med Chem Lett 2008; 18:4181-5. [PMID: 18554907 DOI: 10.1016/j.bmcl.2008.05.083] [Citation(s) in RCA: 28] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2008] [Revised: 05/19/2008] [Accepted: 05/19/2008] [Indexed: 11/18/2022]
Abstract
A novel series of HCV NS5B polymerase inhibitors comprising 1,1-dioxoisothiazoles and benzo[b]thiophene-1,1-dioxides were designed, synthesized, and evaluated. SAR studies guided by structure-based design led to the identification of a number of potent NS5B inhibitors with nanomolar IC(50) values. The most potent compound exhibited IC(50) less than 10nM against the genotype 1b HCV polymerase and EC(50) of 70 nM against a genotype 1b replicon in cell culture. The DMPK properties of selected compounds were also evaluated.
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Affiliation(s)
- Sun Hee Kim
- Anadys Pharmaceuticals, Inc., 3115 Merryfield Row, San Diego, CA 92121, USA.
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31
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Pyrrolo[1,2-b]pyridazin-2-ones as potent inhibitors of HCV NS5B polymerase. Bioorg Med Chem Lett 2008; 18:3616-21. [PMID: 18487044 DOI: 10.1016/j.bmcl.2008.04.066] [Citation(s) in RCA: 34] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2008] [Revised: 04/23/2008] [Accepted: 04/28/2008] [Indexed: 11/23/2022]
Abstract
Pyrrolo[1,2-b]pyridazin-2-one analogs were discovered as a novel class of inhibitors of genotype 1 HCV NS5B polymerase. Structure-based design led to the discovery of compound 3 k, which displayed potent inhibitory activities in biochemical and replicon assays (IC(50) (1b)<10nM; EC(50) (1b)=12 nM) as well as good stability towards human liver microsomes (HLM t(1/2)>60 min).
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32
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Li LS, Zhou Y, Murphy DE, Stankovic N, Zhao J, Dragovich PS, Bertolini T, Sun Z, Ayida B, Tran CV, Ruebsam F, Webber SE, Shah AM, Tsan M, Showalter RE, Patel R, Lebrun LA, Bartkowski DM, Nolan TG, Norris DA, Kamran R, Brooks J, Sergeeva MV, Kirkovsky L, Zhao Q, Kissinger CR. Novel HCV NS5B polymerase inhibitors derived from 4-(1',1'-dioxo-1',4'-dihydro-1'lambda(6)-benzo[1',2',4']thiadiazin-3'-yl)-5-hydroxy-2H-pyridazin-3-ones. Part 3: Further optimization of the 2-, 6-, and 7'-substituents and initial pharmacokinetic assessments. Bioorg Med Chem Lett 2008; 18:3446-55. [PMID: 18457949 DOI: 10.1016/j.bmcl.2008.02.072] [Citation(s) in RCA: 30] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2008] [Revised: 02/27/2008] [Accepted: 02/28/2008] [Indexed: 11/30/2022]
Abstract
5-Hydroxy-3(2H)-pyridazinone derivatives were investigated as inhibitors of genotype 1 HCV NS5B polymerase. Lead optimization led to the discovery of compound 3a, which displayed potent inhibitory activities in biochemical and replicon assays [IC(50) (1b)<10nM; IC(50) (1a)=22 nM; EC(50) (1b)=5nM], good stability toward human liver microsomes (HLM t(1/2)>60 min), and high ratios of liver to plasma concentrations 12h after a single oral administration to rats.
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Affiliation(s)
- Lian-Sheng Li
- Anadys Pharmaceuticals, Inc., 3115 Merryfield Row, San Diego, CA 92121, USA
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33
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Zhou Y, Li LS, Dragovich PS, Murphy DE, Tran CV, Ruebsam F, Webber SE, Shah AM, Tsan M, Averill A, Showalter RE, Patel R, Han Q, Zhao Q, Hermann T, Kissinger CR, LeBrun L, Sergeeva MV. Novel HCV NS5B polymerase inhibitors derived from 4-(1′,1′-dioxo-1′,4′-dihydro-1′λ6-benzo[1′,2′,4′]thiadiazin-3′-yl)-5-hydroxy-2H-pyridazin-3-ones. Part 2: Variation of the 2- and 6-pyridazinone substituents. Bioorg Med Chem Lett 2008; 18:1419-24. [DOI: 10.1016/j.bmcl.2008.01.005] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2007] [Revised: 12/23/2007] [Accepted: 01/02/2008] [Indexed: 11/16/2022]
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