SARS-CoV 3CL protease is essential for viral protein processing and is regarded as a good drug target to prevent SARS-CoV replication. In the present study, we established a high-throughput FRET technique for screening for anti-SARS-CoV 3CL protease drugs. Of a thousand existing drugs examined, hexachlorophene was identified as the most potent in inhibiting SARS-CoV 3CL protease. Further characterization showed that it was effective at micromolar concentrations (K(i) = 4 microM). The binding mode was competitive, and the inhibitory effect was dependent on preincubation time. Two other drugs, triclosan and nelfinavir, were about 10 times less potent. The structure-based search and biological evaluation of various hexachlorophene analogues were described. These analogues gave optimal inhibitory activity against SARS-CoV 3CL protease with IC(50) values ranging from 7.6 to 84.5 microM. Optimization of hexachlorophene analogues was shown to provide several active 3CL protease inhibitors that function as potential anti-SARS agents.
Pubmed ID: 15950190 RIS Download
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Software package that provides a graphical summary of linkage disequilibrium in human genetic data. The graphical summary is well suited to the analysis of dense genetic maps, where contingency tables are cumbersome to interpret. An interface to the Simwalk2 application allows for the analysis of family data.
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