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CRYSTAL STRUCTURE OF c-MET IN COMPLEX WITH NOVEL INHIBITORCRYSTAL STRUCTURE OF c-MET IN COMPLEX WITH NOVEL INHIBITOR
Structural highlights
DiseaseMET_HUMAN Note=Activation of MET after rearrangement with the TPR gene produces an oncogenic protein. Note=Defects in MET may be associated with gastric cancer. Defects in MET are a cause of hepatocellular carcinoma (HCC) [MIM:114550.[1] Defects in MET are a cause of renal cell carcinoma papillary (RCCP) [MIM:605074. It is a subtype of renal cell carcinoma tending to show a tubulo-papillary architecture formed by numerous, irregular, finger-like projections of connective tissue. Renal cell carcinoma is a heterogeneous group of sporadic or hereditary carcinoma derived from cells of the proximal renal tubular epithelium. It is subclassified into common renal cell carcinoma (clear cell, non-papillary carcinoma), papillary renal cell carcinoma, chromophobe renal cell carcinoma, collecting duct carcinoma with medullary carcinoma of the kidney, and unclassified renal cell carcinoma.[2] [3] [4] [5] [6] Note=A common allele in the promoter region of the MET shows genetic association with susceptibility to autism in some families. Functional assays indicate a decrease in MET promoter activity and altered binding of specific transcription factor complexes. Note=MET activating mutations may be involved in the development of a highly malignant, metastatic syndrome known as cancer of unknown primary origin (CUP) or primary occult malignancy. Systemic neoplastic spread is generally a late event in cancer progression. However, in some instances, distant dissemination arises at a very early stage, so that metastases reach clinical relevance before primary lesions. Sometimes, the primary lesions cannot be identified in spite of the progresses in the diagnosis of malignancies.[7] FunctionMET_HUMAN Receptor tyrosine kinase that transduces signals from the extracellular matrix into the cytoplasm by binding to hepatocyte growth factor/HGF ligand. Regulates many physiological processes including proliferation, scattering, morphogenesis and survival. Ligand binding at the cell surface induces autophosphorylation of MET on its intracellular domain that provides docking sites for downstream signaling molecules. Following activation by ligand, interacts with the PI3-kinase subunit PIK3R1, PLCG1, SRC, GRB2, STAT3 or the adapter GAB1. Recruitment of these downstream effectors by MET leads to the activation of several signaling cascades including the RAS-ERK, PI3 kinase-AKT, or PLCgamma-PKC. The RAS-ERK activation is associated with the morphogenetic effects while PI3K/AKT coordinates prosurvival effects. During embryonic development, MET signaling plays a role in gastrulation, development and migration of muscles and neuronal precursors, angiogenesis and kidney formation. In adults, participates in wound healing as well as organ regeneration and tissue remodeling. Promotes also differentiation and proliferation of hematopoietic cells.[8] [9] [10] Acts as a receptor for Listeria internalin inlB, mediating entry of the pathogen into cells.[11] [12] [13] Publication Abstract from PubMedThe c-Met kinase has emerged as an attractive target for developing antitumor agents because of its close relationship with the development of many human cancers, poor clinical outcomes and even drug resistance. A series of novel c-Met kinase inhibitors have been identified with multiple workflow in this work, including virtual screening, X-ray crystallography, biological evaluation and structural optimization. The experimentally determined crystal structure of the best hit compound HL-11 in c-Met kinase domain was highly consistent with the computational prediction. Comparison of the hit compounds with different c-Met kinase inhibitory activity by molecular dynamics simulations suggested the key protein-ligand interactions for structural optimization. Based on these, structural optimization produced compound 11e with better c-Met kinase inhibitory activity and improved anti-proliferative activity. These experimental findings proved the reliability and efficiency of our in silico methods. This strategy will facilitate further lead discovery and optimization for novel c-Met kinase inhibitors. Discovery, optimization and biological evaluation for novel c-Met kinase inhibitors.,Yuan H, Liu Q, Zhang L, Hu S, Chen T, Li H, Chen Y, Xu Y, Lu T Eur J Med Chem. 2018 Jan 1;143:491-502. doi: 10.1016/j.ejmech.2017.11.073. Epub, 2017 Dec 2. PMID:29202410[14] From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine. See AlsoReferences
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