Fengming Chu

Synthesis and biological evaluation of substituted 2-sulfonyl-phenyl-3-phenyl-indoles: a new series of selective COX-2 inhibitors

A new series of substituted 2-sulfonyphenyl-3-phenyl-indole derivatives were synthesized and evaluated for their ability to inhibit COX-2 and COX-1enzymes. Most of the compounds synthesized were found to be highly potent and selective inhibitors of COX-2. This work led to the discovery of 2-aminosulfonylphenyl-3-phenyl-indole 5a which possesses higher activity and selectivity for COX-2 than Celecoxib both in vitro and in vivo.

Synthesis and anti-inflammatory activity of the major metabolites of imrecoxib.

We have developed a novel and moderately selective COX-2 inhibitor, imrecoxib, as a new anti-inflammatory drug. We describe herein the preparation of the major metabolites M2 and M4 of imrecoxib, as well as the in vitro and in vivo activities of the two compounds. The results showed that both M2 and M4 are potential COXs inhibitors with a moderate COX-1/COX-2 selectivity, and their anti-inflammatory activity in vivo was equal to or slightly higher than the clinical celecoxib.

The synthesis of puerarin derivatives and their protective effect on the myocardial ischemia and reperfusion injury.

Puerarin is a naturally occurring isoflavone and is frequently used for the treatment of cardiovascular symptoms in China. By the structural modification of the puerarin molecule at different positions, seven new puerarin derivatives were obtained, and their cardioprotective activities (in vitro and in vivo) were respectively evaluated. The finding that the activities of 3 and 8 markedly exceeded puerarin suggested that the acylated modification of phenolic hydroxyl at C-7 in the puerarin molecule may improve the cardioprotective activity, which will be an important reference for further structural optimization.

An entropy-based multi-population genetic algorithm and its application

An improved genetic algorithm based on information entropy is presented in this paper. A new iteration scheme in conjunction with multi-population genetic strategy, entropy-based searching technique with narrowing down space and the quasi-exact penalty function is developed to solve nonlinear programming problems with equality and inequality constraints. A specific strategy of reserving the most fitness member with evolutionary historic information is effectively used to approximate the solution of the nonlinear programming problems to the global optimization. Numerical examples and an application in molecular docking demonstrate its accuracy and efficiency.