摘要：An old drug with a new use can significantly reduce the cost and time for new drug research and development. MAPK (Mitogen-activated protein kinase) plays a very important key role in signal transduction pathways of cell proliferation and differentiation. According to the statistics, there are about 30% persons who suffered from cancers related to the MAPK signal transduction pathways. Therefore, many researchers are focused on blocking these pathways in cancers therapies. Ras/Raf/MEK/ERK, however, is one of very important pathways among MAPK message transduction pathways. More and more information about MEK protein inhibitors are unveiled in several recent years. In the present study, the authors utilized MEK inhibitors which were already published and their activities were available to construct 2D-QSAR model by using CADD (multiple linear regression). Then, the authors searched certified FDA drugs (Drugs@FDA 6184 drugs) making preliminary screening. The secondary screening on 3D structures were followed by using Docking, Scoring and Pharmacophore analysis to find out most suitable MEK inhibitors to become a fundamental database in drug discovery. The results are shown the ALogP, number of aromatic rings, number of hydrogen bond acceptors and number of hydrogen bond donors are all in positive correlation. According to the equation from 2D-QSAR model, the results conform to the previous description.