Novel ((2-substituted-1H-benzo[d]imidazol-1-yl)methyl)benzamides were found to be excellent P1' substituents in conjunction with unique constrained beta-amino hydroxamic acid scaffolds for the discovery of potent selective inhibitors of TNF-alpha Converting Enzyme (TACE). Optimized examples proved potent for TACE, exceptionally selective over a wide panel of MMP and ADAM proteases, potent in the suppression of LPS-induced TNF-alpha in human whole blood and orally bioavailable.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.bmcl.2008.01.075 | DOI Listing |
J Transl Med
January 2025
Informatics Core, Division of Pre-Clinical Innovation, National Center for Advancing Translational Sciences (NCATS), National Institutes of Health (NIH), Rockville, MD, USA.
Background: Glioblastoma (GBM) is a rare brain cancer with an exceptionally high mortality rate, which illustrates the pressing demand for more effective therapeutic options. Despite considerable research efforts on GBM, its underlying biological mechanisms remain unclear. Furthermore, none of the United States Food and Drug Administration (FDA) approved drugs used for GBM deliver satisfactory survival improvement.
View Article and Find Full Text PDFJ Am Chem Soc
January 2025
School of Chemistry and Molecular Engineering, State Key Laboratory of Materials-Oriented Chemical Engineering, Nanjing Tech University, Nanjing 211816, China.
ArBO ( = 1-3) complexes have been prepared and subjected to spectroscopic characterization in the gas phase. Mass-selected infrared photodissociation spectroscopy, in combination with theoretical calculations, reveals the coexistence of two nearly isoenergetic structural isomers in ArBO. One isomer entails two equivalent Ar atoms chemically bound to BO, while the other features an ArBO core ion accompanied by a weakly tagging argon atom.
View Article and Find Full Text PDFViruses
December 2024
Department of Global Health and Development, London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK.
Vesicular stomatitis virus (VSV) represents a significant advancement in therapeutic medicine, offering unique molecular and cellular characteristics that make it exceptionally suitable for medical applications. The bullet-shaped morphology, RNA genome organization, and cytoplasmic replication strategy provide fundamental advantages for both vaccine development and oncolytic applications. VSV's interaction with host cells through the low-density lipoprotein receptor (LDL-R) and its sophisticated transcriptional regulation mechanisms enables precise control over therapeutic applications.
View Article and Find Full Text PDFPharmaceutics
November 2024
State Research Center-Burnasyan Federal Medical Biophysical Center of Federal Medical Biological Agency, Zhivopisnaya Str., Bld. 46, 123098 Moscow, Russia.
Background: Radiochemical purity is a key criterion for the quality of radiopharmaceuticals used in clinical practice. The joint improvement of analytical methods capable of identifying related radiochemical impurities and determining the actual radiochemical purity, as well as the improvement of synthesis methods to minimize the formation of possible radiochemical impurities, is integral to the implementation of high-tech nuclear medicine procedures. PSMA-targeted radionuclide therapy with lutetium-177 has emerged as an effective treatment option for prostate cancer, and [Lu]Lu-PSMA-617 and [Lu]Lu-PSMA have achieved global recognition as viable radiopharmaceuticals.
View Article and Find Full Text PDFMaterials (Basel)
December 2024
College of Metallurgy and Energy, North China University of Science and Technology, Tangshan 063000, China.
The bandgap is a critical factor influencing the energy density of batteries and a key physical quantity that determines the semiconducting behavior of materials. To further improve the prediction accuracy of the bandgap in silicon oxide lithium-ion battery materials, a boosting machine learning model was established to predict the material's bandgap. The optimal model, AdaBoost, was selected, and the SHapley Additive exPlanations (SHAP) method was used to quantitatively analyze the importance of different input features in relation to the model's prediction accuracy.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!