Xiu-Mei Chen

China Pharmaceutical University, Nan-ching-hsü, Jiangxi Sheng, China

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Publications (2)5.59 Total impact

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    ABSTRACT: Oncogenic B-Raf has been identified in a variety of cancers with high incidence, especially in malignant melanoma and thyroid cancer. Most B-Raf mutations elicit elevated kinase activity and the constitutive activation of Ras/Raf/MEK/ERK pathway, which induces proliferation and promotes malignant transformation. Therefore, B-Raf inhibitors, targeting B-Raf or mutated B-Raf, have received increasing momentum in oncology drug discovery arena. This review focuses on the diverse small-molecule inhibitors of B-Raf kinase recently reported in the literature, including those currently in clinical and preclinical phase. They are described as two categories, type I or type II kinase inhibitors, based on their different mechanism of action with active or inactive conformations of the B-Raf kinase derived from the available crystal structures or molecular docking analysis. A particular emphasis is placed on their binding modes and the structure-activity relationship (SAR) of each chemical structure class.
    Current Medicinal Chemistry 03/2010; 17(16):1618-34. DOI:10.2174/092986710791111242 · 3.85 Impact Factor
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    ABSTRACT: Checkpoint kinase 1 (Chk1), a member of the serine/threonine kinase family, is an attractive therapeutic target for anticancer combination therapy. A structure-based modeling approach complemented with shape components was pursued to develop a reliable pharmacophore model for ATP-competitive Chk1 inhibitors. Common chemical features of the pharmacophore model were derived by clustering multiple structure-based pharmacophore features from different Chk1-ligand complexes in comparable binding modes. The final model consisted of one hydrogen bond acceptor (HBA), one hydrogen bond donor (HBD), two hydrophobic (HY) features, several excluded volumes and shape constraints. In the validation study, this feature-shape query yielded an enrichment factor of 9.196 and performed fairly well at distinguishing active from inactive compounds, suggesting that the pharmacophore model can serve as a reliable tool for virtual screening to facilitate the discovery of novel Chk1 inhibitors. Besides, these pharmacophore features were assumed to be essential for Chk1 inhibitors, which might be useful for the identification of potential Chk1 inhibitors.
    Journal of Molecular Modeling 12/2009; 16(7):1195-204. DOI:10.1007/s00894-009-0630-y · 1.74 Impact Factor