Literature DB >> 23941500

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.

Haijing Yu1, Yu Fang, Xia Lu, Yongjuan Liu, Huabei Zhang.   

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.
© 2013 John Wiley & Sons A/S.

Entities:  

Keywords:  3D-QSAR; 5-hydroxy-2H-pyridazin-3-one derivatives; MD simulation; NS5B RNA-dependent RNA polymerase; anti-HCV agents; binding free energy calculation; molecular docking

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Year:  2013        PMID: 23941500     DOI: 10.1111/cbdd.12203

Source DB:  PubMed          Journal:  Chem Biol Drug Des        ISSN: 1747-0277            Impact factor:   2.817


  2 in total

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Journal:  J Mol Model       Date:  2021-01-20       Impact factor: 1.810

Review 2.  Recent Developments and Applications of the MMPBSA Method.

Authors:  Changhao Wang; D'Artagnan Greene; Li Xiao; Ruxi Qi; Ray Luo
Journal:  Front Mol Biosci       Date:  2018-01-10
  2 in total

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