Abstract
Thiomorpholine analogs (TML) have been identified as novel class of potent tumor necrosis factor-α converting enzyme (TACE) inhibitors. A computational strategy based on molecular docking studies, followed by MFA analysis has been performed to elucidate the atomic details of the TACE/TML interactions and to identify the most important features impacting TACE inhibitory activity of TMLs. The generated MFA model resulted to be well predictive, and gave r2 test 0.723, conventional r 2 0.982 and r2 cv 0.811. The 3D-QSAR field contributions and the structural features of the TACE binding site showed a good correlation. These studies will be useful to design new TACE inhibitors with improved potency.
| Original language | English |
|---|---|
| Pages (from-to) | 269-274 |
| Number of pages | 6 |
| Journal | Letters in Drug Design and Discovery |
| Volume | 7 |
| Issue number | 4 |
| DOIs | |
| State | Published - May 2010 |
| Externally published | Yes |
Keywords
- 3D-QSAR
- Docking
- Molecular field analysis (MFA)
- Rheumatoid arthritis
- TACE inhibitors
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