In this paper, a specific design strategy targeting c-met kinase was reported based on docking modeling and topomer comparative molecular field analysis (Topomer CoMFA). A novel U-shape conformation which is distinct from the literature was demonstrated by molecular docking among 68 U-shape c-met inhibitors. According to the docking results, two Topomer CoMFA models with high predictive ability were established based on the two fragment rule. The results from both docking and topomer CoMFA showed that the π-π stacking interaction with Tyr1230 and the hydrogen bond with hinge region play an important role in inhibitory activity. Furthermore, the flexible linker and the adjacent solvent group would be favorable to stabilize the conformation and to enhance the two interactions mentioned above. Based on our patent, 14 new compounds were designed by our design strategy. The binding mode exhibited as expected and their activities were predicted by topomer CoMFA model. The preliminary biological tests showed most of them have potent activity to c-met kinase. Our study would provide guidelines to design some new U-shaped c-met inhibitors with new scaffolds and optimize the current molecules.
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http://dx.doi.org/10.1002/minf.201300118 | DOI Listing |
Chem Biodivers
January 2025
Shaanxi University of Science and Technology, Chllege of Chemistry and Chemical Engineering, Weiyang Daxue Yuanqv, 710021, Xi'an, CHINA.
Bromodomain and extra terminal domain (BET) proteins play important roles in biological processes such as cell proliferation, differentiation, and signaling, and are involved in the occurrence and development of many diseases, including cancer and inflammatory diseases. Selective inhibitors targeting the first bromodomain (BD1) or the second bromodomain (BD2) have triggered a new wave of research to produce more specific and safer drugs. In this study, 37 novel selective BET BD2 inhibitors with anti-inflammatory activity are selected to construct robust Topomer CoMFA (q2=0.
View Article and Find Full Text PDFMol Neurobiol
November 2024
Institute of Geriatrics, National Clinical Research Center of Geriatrics Disease, the Second Medical Center of PLA General Hospital, Beijing, 100853, China.
Microglia/macrophages (MG/Mφ) play a central role in the pathogenesis of multiple sclerosis (MS). However, the intricacies of the immunomodulatory microenvironment in MS, particularly the heterogeneity and regulatory mechanisms of MG/Mφ subpopulations, remain elusive. The commonly used treatment options for MS have several drawbacks, such as significant side effects and uncertain efficacy.
View Article and Find Full Text PDFChem Biodivers
January 2025
College of Chemistry and Chemical Engineering, Shaanxi University of Science and Technology, Xi'an, 710021, China.
Pest Manag Sci
December 2024
School of Pharmacy, Lanzhou University, Lanzhou, People's Republic of China.
Background: The threats to the safety of humans and the environment and the resistance of agricultural chemicals to plant pathogenic fungi and bacteria highlight an urgent need to find safe and efficient alternatives to chemical fungicides and bactericides. In this study, a series of Berberine (BBR) derivatives were designed, synthesized and evaluated for in vitro and in vivo antimicrobial activity against plant pathogenic fungi and bacteria.
Results: Bioassay results indicated that compounds A11, A14, A20, A21, A22, A25, A26, E1, E2, E3, Z1 and Z2 showed high inhibitory activity against Sclerotinia sclerotiorum and Botrytis cinerea.
Chem Biodivers
October 2024
College of Chemistry and Chemical Engineering, Shaanxi University of Science and Technology, Xi'an, 710021, China.
The mesenchymal-epithelial transition factor (c-Met) is a tyrosine kinase receptor protein, and excessive cell transformation can lead to cancer. Therefore, there is an urgent need to develop novel receptor tyrosine kinase inhibitors by inhibiting the activity of c-Met protein. In this study, 41 compounds are selected from the reported literature, and the interactions between phenoxy pyridine derivatives and tumor-associated proteins are systematically investigated using a series of computer-assisted drug design (CADD) methods, aiming to predict potential c-Met inhibitors with high activity.
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