Abstract
In this study, the quantitative structure-activity relationship (QSAR) of a series of 2-aminothiazole based Lck inhibitors was investigated. The key structural features responsible for the inhibition activities were discussed in detail. A population of 100 rigorously validated linear QSAR models were established based on the descriptors calculated in DRAGON program and selected by genetic algorithm (GA). A total of 36 descriptors were involved in all the QSAR models. Then the common descriptors appeared in all the models were extracted to build the final QSAR model. As a result, the final 8-parameter QSAR model was established. After analysis of the eight descriptors, some advice was proposed to help the design of possible novel inhibitors with higher bioactivity.
| Original language | English |
|---|---|
| Pages (from-to) | 29-39 |
| Number of pages | 11 |
| Journal | Analytica Chimica Acta |
| Volume | 631 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 5 Jan 2009 |
| Externally published | Yes |
Keywords
- Genetic algorithm (GA)
- Lymphocyte-specific kinase (LCK)
- Multiple linear regression (MLR)
- Quantitative structure-activity relationship (QSAR)
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