Structure modeling and docking study of HCV NS5B-3a RNA polymerase for the identification of potent inhibitors
Abstract Homology modeling in combination with molecular docking studies has been applied to predict the binding modes of the Hepatitis C virus (HCV) NS5B-3a inhibitors within the pocket of NS5B polymerase of HCV genotype 3a. Structure modeling and docking using Genetic Optimization for Ligand Docki...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Azam, Syed Sikander [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2013 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer Science+Business Media New York 2013 |
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| Übergeordnetes Werk: |
Enthalten in: Medicinal chemistry research - Cambridge, Mass. [u.a.] : Birkhäuser Boston, 1991, 23(2013), 2 vom: 12. Juni, Seite 618-627 |
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| Übergeordnetes Werk: |
volume:23 ; year:2013 ; number:2 ; day:12 ; month:06 ; pages:618-627 |
| Links: |
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| DOI / URN: |
10.1007/s00044-013-0666-5 |
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| Katalog-ID: |
SPR000401013 |
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| 100 | 1 | |a Azam, Syed Sikander |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Structure modeling and docking study of HCV NS5B-3a RNA polymerase for the identification of potent inhibitors |
| 264 | 1 | |c 2013 | |
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| 520 | |a Abstract Homology modeling in combination with molecular docking studies has been applied to predict the binding modes of the Hepatitis C virus (HCV) NS5B-3a inhibitors within the pocket of NS5B polymerase of HCV genotype 3a. Structure modeling and docking using Genetic Optimization for Ligand Docking (GOLD) were carried out to understand the ligand binding properties of NS5B-3a and to identify a potent inhibitor against it. The three-dimensional homology model of Pakistani strain is not available and was built based on the HCV-J4 NS5B polymerase structure. Compound 1 possessing high GOLD fitness score of 62.17 with IC50 value of 0.04 μM was selected as the potent inhibitor. The docking analysis depicted that hydrogen bonding, ionic and hydrophobic interactions contributed significantly for its ligand binding and the amino acid residues Arg442 and His403 seemed to be the anchor residues for receptor recognition. For developing a connection between the experimental bioactivities and GOLD fitness scores, a squared correlation coefficient was calculated and found as acceptable with the value of r2 = 0.67. These findings may act as potent lead in designing effective NS5B-3a inhibitors. | ||
| 650 | 4 | |a Polymerase |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a NS5B-3a polymerase inhibitors |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Homology modeling |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Molecular docking |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Protein ligand interactions |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Abbasi, Sumra Wajid |4 aut | |
| 700 | 1 | |a Batool, Maria |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Medicinal chemistry research |d Cambridge, Mass. [u.a.] : Birkhäuser Boston, 1991 |g 23(2013), 2 vom: 12. Juni, Seite 618-627 |w (DE-627)490223427 |w (DE-600)2191978-1 |x 1554-8120 |7 nnns |
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| 912 | |a GBV_ILN_2093 | ||
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10.1007/s00044-013-0666-5 doi (DE-627)SPR000401013 (SPR)s00044-013-0666-5-e DE-627 ger DE-627 rakwb eng Azam, Syed Sikander verfasserin aut Structure modeling and docking study of HCV NS5B-3a RNA polymerase for the identification of potent inhibitors 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Science+Business Media New York 2013 Abstract Homology modeling in combination with molecular docking studies has been applied to predict the binding modes of the Hepatitis C virus (HCV) NS5B-3a inhibitors within the pocket of NS5B polymerase of HCV genotype 3a. Structure modeling and docking using Genetic Optimization for Ligand Docking (GOLD) were carried out to understand the ligand binding properties of NS5B-3a and to identify a potent inhibitor against it. The three-dimensional homology model of Pakistani strain is not available and was built based on the HCV-J4 NS5B polymerase structure. Compound 1 possessing high GOLD fitness score of 62.17 with IC50 value of 0.04 μM was selected as the potent inhibitor. The docking analysis depicted that hydrogen bonding, ionic and hydrophobic interactions contributed significantly for its ligand binding and the amino acid residues Arg442 and His403 seemed to be the anchor residues for receptor recognition. For developing a connection between the experimental bioactivities and GOLD fitness scores, a squared correlation coefficient was calculated and found as acceptable with the value of r2 = 0.67. These findings may act as potent lead in designing effective NS5B-3a inhibitors. Polymerase (dpeaa)DE-He213 NS5B-3a polymerase inhibitors (dpeaa)DE-He213 Homology modeling (dpeaa)DE-He213 Molecular docking (dpeaa)DE-He213 Protein ligand interactions (dpeaa)DE-He213 Abbasi, Sumra Wajid aut Batool, Maria aut Enthalten in Medicinal chemistry research Cambridge, Mass. [u.a.] : Birkhäuser Boston, 1991 23(2013), 2 vom: 12. Juni, Seite 618-627 (DE-627)490223427 (DE-600)2191978-1 1554-8120 nnns volume:23 year:2013 number:2 day:12 month:06 pages:618-627 https://dx.doi.org/10.1007/s00044-013-0666-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 23 2013 2 12 06 618-627 |
| spelling |
10.1007/s00044-013-0666-5 doi (DE-627)SPR000401013 (SPR)s00044-013-0666-5-e DE-627 ger DE-627 rakwb eng Azam, Syed Sikander verfasserin aut Structure modeling and docking study of HCV NS5B-3a RNA polymerase for the identification of potent inhibitors 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Science+Business Media New York 2013 Abstract Homology modeling in combination with molecular docking studies has been applied to predict the binding modes of the Hepatitis C virus (HCV) NS5B-3a inhibitors within the pocket of NS5B polymerase of HCV genotype 3a. Structure modeling and docking using Genetic Optimization for Ligand Docking (GOLD) were carried out to understand the ligand binding properties of NS5B-3a and to identify a potent inhibitor against it. The three-dimensional homology model of Pakistani strain is not available and was built based on the HCV-J4 NS5B polymerase structure. Compound 1 possessing high GOLD fitness score of 62.17 with IC50 value of 0.04 μM was selected as the potent inhibitor. The docking analysis depicted that hydrogen bonding, ionic and hydrophobic interactions contributed significantly for its ligand binding and the amino acid residues Arg442 and His403 seemed to be the anchor residues for receptor recognition. For developing a connection between the experimental bioactivities and GOLD fitness scores, a squared correlation coefficient was calculated and found as acceptable with the value of r2 = 0.67. These findings may act as potent lead in designing effective NS5B-3a inhibitors. Polymerase (dpeaa)DE-He213 NS5B-3a polymerase inhibitors (dpeaa)DE-He213 Homology modeling (dpeaa)DE-He213 Molecular docking (dpeaa)DE-He213 Protein ligand interactions (dpeaa)DE-He213 Abbasi, Sumra Wajid aut Batool, Maria aut Enthalten in Medicinal chemistry research Cambridge, Mass. [u.a.] : Birkhäuser Boston, 1991 23(2013), 2 vom: 12. Juni, Seite 618-627 (DE-627)490223427 (DE-600)2191978-1 1554-8120 nnns volume:23 year:2013 number:2 day:12 month:06 pages:618-627 https://dx.doi.org/10.1007/s00044-013-0666-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 23 2013 2 12 06 618-627 |
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10.1007/s00044-013-0666-5 doi (DE-627)SPR000401013 (SPR)s00044-013-0666-5-e DE-627 ger DE-627 rakwb eng Azam, Syed Sikander verfasserin aut Structure modeling and docking study of HCV NS5B-3a RNA polymerase for the identification of potent inhibitors 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Science+Business Media New York 2013 Abstract Homology modeling in combination with molecular docking studies has been applied to predict the binding modes of the Hepatitis C virus (HCV) NS5B-3a inhibitors within the pocket of NS5B polymerase of HCV genotype 3a. Structure modeling and docking using Genetic Optimization for Ligand Docking (GOLD) were carried out to understand the ligand binding properties of NS5B-3a and to identify a potent inhibitor against it. The three-dimensional homology model of Pakistani strain is not available and was built based on the HCV-J4 NS5B polymerase structure. Compound 1 possessing high GOLD fitness score of 62.17 with IC50 value of 0.04 μM was selected as the potent inhibitor. The docking analysis depicted that hydrogen bonding, ionic and hydrophobic interactions contributed significantly for its ligand binding and the amino acid residues Arg442 and His403 seemed to be the anchor residues for receptor recognition. For developing a connection between the experimental bioactivities and GOLD fitness scores, a squared correlation coefficient was calculated and found as acceptable with the value of r2 = 0.67. These findings may act as potent lead in designing effective NS5B-3a inhibitors. Polymerase (dpeaa)DE-He213 NS5B-3a polymerase inhibitors (dpeaa)DE-He213 Homology modeling (dpeaa)DE-He213 Molecular docking (dpeaa)DE-He213 Protein ligand interactions (dpeaa)DE-He213 Abbasi, Sumra Wajid aut Batool, Maria aut Enthalten in Medicinal chemistry research Cambridge, Mass. [u.a.] : Birkhäuser Boston, 1991 23(2013), 2 vom: 12. Juni, Seite 618-627 (DE-627)490223427 (DE-600)2191978-1 1554-8120 nnns volume:23 year:2013 number:2 day:12 month:06 pages:618-627 https://dx.doi.org/10.1007/s00044-013-0666-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 23 2013 2 12 06 618-627 |
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10.1007/s00044-013-0666-5 doi (DE-627)SPR000401013 (SPR)s00044-013-0666-5-e DE-627 ger DE-627 rakwb eng Azam, Syed Sikander verfasserin aut Structure modeling and docking study of HCV NS5B-3a RNA polymerase for the identification of potent inhibitors 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Science+Business Media New York 2013 Abstract Homology modeling in combination with molecular docking studies has been applied to predict the binding modes of the Hepatitis C virus (HCV) NS5B-3a inhibitors within the pocket of NS5B polymerase of HCV genotype 3a. Structure modeling and docking using Genetic Optimization for Ligand Docking (GOLD) were carried out to understand the ligand binding properties of NS5B-3a and to identify a potent inhibitor against it. The three-dimensional homology model of Pakistani strain is not available and was built based on the HCV-J4 NS5B polymerase structure. Compound 1 possessing high GOLD fitness score of 62.17 with IC50 value of 0.04 μM was selected as the potent inhibitor. The docking analysis depicted that hydrogen bonding, ionic and hydrophobic interactions contributed significantly for its ligand binding and the amino acid residues Arg442 and His403 seemed to be the anchor residues for receptor recognition. For developing a connection between the experimental bioactivities and GOLD fitness scores, a squared correlation coefficient was calculated and found as acceptable with the value of r2 = 0.67. These findings may act as potent lead in designing effective NS5B-3a inhibitors. Polymerase (dpeaa)DE-He213 NS5B-3a polymerase inhibitors (dpeaa)DE-He213 Homology modeling (dpeaa)DE-He213 Molecular docking (dpeaa)DE-He213 Protein ligand interactions (dpeaa)DE-He213 Abbasi, Sumra Wajid aut Batool, Maria aut Enthalten in Medicinal chemistry research Cambridge, Mass. [u.a.] : Birkhäuser Boston, 1991 23(2013), 2 vom: 12. Juni, Seite 618-627 (DE-627)490223427 (DE-600)2191978-1 1554-8120 nnns volume:23 year:2013 number:2 day:12 month:06 pages:618-627 https://dx.doi.org/10.1007/s00044-013-0666-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 23 2013 2 12 06 618-627 |
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10.1007/s00044-013-0666-5 doi (DE-627)SPR000401013 (SPR)s00044-013-0666-5-e DE-627 ger DE-627 rakwb eng Azam, Syed Sikander verfasserin aut Structure modeling and docking study of HCV NS5B-3a RNA polymerase for the identification of potent inhibitors 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Science+Business Media New York 2013 Abstract Homology modeling in combination with molecular docking studies has been applied to predict the binding modes of the Hepatitis C virus (HCV) NS5B-3a inhibitors within the pocket of NS5B polymerase of HCV genotype 3a. Structure modeling and docking using Genetic Optimization for Ligand Docking (GOLD) were carried out to understand the ligand binding properties of NS5B-3a and to identify a potent inhibitor against it. The three-dimensional homology model of Pakistani strain is not available and was built based on the HCV-J4 NS5B polymerase structure. Compound 1 possessing high GOLD fitness score of 62.17 with IC50 value of 0.04 μM was selected as the potent inhibitor. The docking analysis depicted that hydrogen bonding, ionic and hydrophobic interactions contributed significantly for its ligand binding and the amino acid residues Arg442 and His403 seemed to be the anchor residues for receptor recognition. For developing a connection between the experimental bioactivities and GOLD fitness scores, a squared correlation coefficient was calculated and found as acceptable with the value of r2 = 0.67. These findings may act as potent lead in designing effective NS5B-3a inhibitors. Polymerase (dpeaa)DE-He213 NS5B-3a polymerase inhibitors (dpeaa)DE-He213 Homology modeling (dpeaa)DE-He213 Molecular docking (dpeaa)DE-He213 Protein ligand interactions (dpeaa)DE-He213 Abbasi, Sumra Wajid aut Batool, Maria aut Enthalten in Medicinal chemistry research Cambridge, Mass. [u.a.] : Birkhäuser Boston, 1991 23(2013), 2 vom: 12. Juni, Seite 618-627 (DE-627)490223427 (DE-600)2191978-1 1554-8120 nnns volume:23 year:2013 number:2 day:12 month:06 pages:618-627 https://dx.doi.org/10.1007/s00044-013-0666-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 23 2013 2 12 06 618-627 |
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Azam, Syed Sikander @@aut@@ Abbasi, Sumra Wajid @@aut@@ Batool, Maria @@aut@@ |
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Structure modeling and docking study of HCV NS5B-3a RNA polymerase for the identification of potent inhibitors Polymerase (dpeaa)DE-He213 NS5B-3a polymerase inhibitors (dpeaa)DE-He213 Homology modeling (dpeaa)DE-He213 Molecular docking (dpeaa)DE-He213 Protein ligand interactions (dpeaa)DE-He213 |
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structure modeling and docking study of hcv ns5b-3a rna polymerase for the identification of potent inhibitors |
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Structure modeling and docking study of HCV NS5B-3a RNA polymerase for the identification of potent inhibitors |
| abstract |
Abstract Homology modeling in combination with molecular docking studies has been applied to predict the binding modes of the Hepatitis C virus (HCV) NS5B-3a inhibitors within the pocket of NS5B polymerase of HCV genotype 3a. Structure modeling and docking using Genetic Optimization for Ligand Docking (GOLD) were carried out to understand the ligand binding properties of NS5B-3a and to identify a potent inhibitor against it. The three-dimensional homology model of Pakistani strain is not available and was built based on the HCV-J4 NS5B polymerase structure. Compound 1 possessing high GOLD fitness score of 62.17 with IC50 value of 0.04 μM was selected as the potent inhibitor. The docking analysis depicted that hydrogen bonding, ionic and hydrophobic interactions contributed significantly for its ligand binding and the amino acid residues Arg442 and His403 seemed to be the anchor residues for receptor recognition. For developing a connection between the experimental bioactivities and GOLD fitness scores, a squared correlation coefficient was calculated and found as acceptable with the value of r2 = 0.67. These findings may act as potent lead in designing effective NS5B-3a inhibitors. © Springer Science+Business Media New York 2013 |
| abstractGer |
Abstract Homology modeling in combination with molecular docking studies has been applied to predict the binding modes of the Hepatitis C virus (HCV) NS5B-3a inhibitors within the pocket of NS5B polymerase of HCV genotype 3a. Structure modeling and docking using Genetic Optimization for Ligand Docking (GOLD) were carried out to understand the ligand binding properties of NS5B-3a and to identify a potent inhibitor against it. The three-dimensional homology model of Pakistani strain is not available and was built based on the HCV-J4 NS5B polymerase structure. Compound 1 possessing high GOLD fitness score of 62.17 with IC50 value of 0.04 μM was selected as the potent inhibitor. The docking analysis depicted that hydrogen bonding, ionic and hydrophobic interactions contributed significantly for its ligand binding and the amino acid residues Arg442 and His403 seemed to be the anchor residues for receptor recognition. For developing a connection between the experimental bioactivities and GOLD fitness scores, a squared correlation coefficient was calculated and found as acceptable with the value of r2 = 0.67. These findings may act as potent lead in designing effective NS5B-3a inhibitors. © Springer Science+Business Media New York 2013 |
| abstract_unstemmed |
Abstract Homology modeling in combination with molecular docking studies has been applied to predict the binding modes of the Hepatitis C virus (HCV) NS5B-3a inhibitors within the pocket of NS5B polymerase of HCV genotype 3a. Structure modeling and docking using Genetic Optimization for Ligand Docking (GOLD) were carried out to understand the ligand binding properties of NS5B-3a and to identify a potent inhibitor against it. The three-dimensional homology model of Pakistani strain is not available and was built based on the HCV-J4 NS5B polymerase structure. Compound 1 possessing high GOLD fitness score of 62.17 with IC50 value of 0.04 μM was selected as the potent inhibitor. The docking analysis depicted that hydrogen bonding, ionic and hydrophobic interactions contributed significantly for its ligand binding and the amino acid residues Arg442 and His403 seemed to be the anchor residues for receptor recognition. For developing a connection between the experimental bioactivities and GOLD fitness scores, a squared correlation coefficient was calculated and found as acceptable with the value of r2 = 0.67. These findings may act as potent lead in designing effective NS5B-3a inhibitors. © Springer Science+Business Media New York 2013 |
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| title_short |
Structure modeling and docking study of HCV NS5B-3a RNA polymerase for the identification of potent inhibitors |
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https://dx.doi.org/10.1007/s00044-013-0666-5 |
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Abbasi, Sumra Wajid Batool, Maria |
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| doi_str |
10.1007/s00044-013-0666-5 |
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2024-07-03T15:49:50.937Z |
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| score |
7.400154 |