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3D-QSAR Studies of S-DABO Derivatives as Non-nucleoside HIV-1 Reverse Transcriptase Inhibitors

  1. Author:
    Wang, Yueping
    Chang, Jie
    Wang, Jiangyuan
    Zhong, Peng
    Zhang, Yufang
    Lai,Christopher
    Hez, Yanping
  2. Author Address

    Kunming Univ Sci & Technol, Fac Sci, Dept Appl Chem, Kunming 650500, Yunnan, Peoples R China.Yunnan Univ, Key Lab Med Chem Nat Resource, Minist Educ, Sch Chem Sci & Technol, Kunming 650091, Yunnan, Peoples R China.NCI, Chem Biol Lab, Ctr Canc Res, Frederick, MD 21702 USA.
    1. Year: 2019
  1. Journal: LETTERS IN DRUG DESIGN & DISCOVERY
  2. BENTHAM SCIENCE PUBL LTD,
    1. 16
    2. 8
    3. Pages: 868-881
  3. Type of Article: Article
  4. ISSN: 1570-1808
  1. Abstract:

    Background: S-dihydro-alkyloxy-benzyl-oxopyrimidines (S-DABOs) as non-nucleoside reverse transcriptase inhibitors have received considerable attention during the last decade due to their high potency against HIV-1. Methods: In this study, three-dimensional quantitative structure-activity relationship (3D-QSAR) of a series of 38 S-DABO analogues developed in our lab was studied using Comparative Molecular Field Analysis (CoMFA) and Comparative Molecular Similarity Indices Analysis (CoMSIA). The Docking/MMFF94s computational protocol based on the co-crystallized complex (PDB ID: 1RT2) was used to determine the most probable binding mode and to obtain reliable conformations for molecular alignment. Statistically significant CoMFA (q(2)=0.766 and r(2)=0.949) and CoMSIA (q(2)=0.827 and r(2)=0.974) models were generated using the training set of 30 compounds on the basis of hybrid docking-based and ligand-based alignment. Results: The predictive ability of CoMFA and CoMSIA models was further validated using a test set of eight compounds with predictive r(pred)(2) values of 0.843 and 0.723, respectively. Conclusion: The information obtained from the 3D contour maps can be used in designing new S-DABO derivatives with improved HIV-1 inhibitory activity.

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External Sources

  1. DOI: 10.2174/1570180815666180810112321
  2. WOS: 000480359800005

Library Notes

  1. Fiscal Year: FY2018-2019
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