4.7 Article

Synthesis, biological evaluation and 3D-QSAR studies of 3-keto salicylic acid chalcones and related amides as novel HIV-1 integrase inhibitors

Journal

BIOORGANIC & MEDICINAL CHEMISTRY
Volume 19, Issue 6, Pages 2030-2045

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.bmc.2011.01.047

Keywords

HIV-1; HIV integrase; Integrase inhibitors; 3-Keto salicylic acids; Antiviral activity; Strand transfer inhibitors; Chalcones; Synthesis; 3D-QSAR; CoMFA; CoMSIA

Funding

  1. National Institute of Allergy and Infectious Diseases (NIAID), NIH [AI084710]
  2. Department of Pharmaceutical Sciences
  3. NIH CFAR [2P30-AI-050409]
  4. Department of Veterans Affairs

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HIV-1 integrase is one of the three most important enzymes required for viral replication and is therefore an attractive target for anti retroviral therapy. We herein report the design and synthesis of 3-keto salicylic acid chalcone derivatives as novel HIV-1 integrase inhibitors. The most active compound, 5-bromo-2-hydroxy-3-[3-(2,3,6-trichlorophenyl)acryloyl] benzoic acid (25) was selectively active against integrase strand transfer, with an IC50 of 3.7 mu M. While most of the compounds exhibited strand transfer selectivity, a few were nonselective, such as 5-bromo-3-[3-(4-bromophenyl)acryloyl]-2-hydroxybenzoic acid (15), which was active against both 3'-processing and strand transfer with IC50 values of 11 +/- 4 and 5 +/- 2 mu M, respectively. The compounds also inhibited HIV replication with potencies comparable with their integrase inhibitory potencies. Thus, 5-bromo-2-hydroxy-3-[3-(2,3,6-trichlorophenyl) acryloyl] benzoic acid (25) and 5-bromo-3-[3-(4-bromophenyl) acryloyl]-2-hydroxybenzoic acid (15) inhibited HIV-1 replication with EC50 values of 7.3 and 8.7 mu M, respectively. A PHASE pharmacophore hypothesis was developed and validated by 3D-QSAR, which gave a predictive r(2) of 0.57 for an external test set of ten compounds. Phamacophore derived molecular alignments were used for CoMFA and CoMSIA 3D-QSAR modeling. CoMSIA afforded the best model with q(2) and r(2) values of 0.54 and 0.94, respectively. This model predicted all the ten compounds of the test set within 0.56 log units of the actual pIC(50) values; and can be used to guide the rational design of more potent novel 3-keto salicylic acid integrase inhibitors (C) 2011 Elsevier Ltd. All rights reserved.

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