Results 141 to 150 of about 7,092 (271)
This study unveils a novel antibacterial mechanism against MRSA, in which the compound Py‐27 selectively targets and inhibits aspartate transcarbamoylase (ATCase), a key enzyme in pyrimidine synthesis. This inhibition disrupts DNA replication, induces oxidative damage, leading to potent bactericidal activity.
Xiaorong Yang +11 more
wiley +1 more source
A Barrier to Understanding Teratogenicity: The Critical Periods of Sensitivity for Most Structural Birth Defects Precede the Established Hemochorial Placenta. [PDF]
Nangle MA, Shah K, Kumar S, Lipinski RJ.
europepmc +1 more source
Aqueous Processing of High‐Loading LNMO Electrodes for High‐Energy Lithium Batteries
High loading LNMO: Aqueous and PFAS‐free high loading LNMO cathodes are produced using multilayer coating technique on industrial pilot line, aiming to bridge the gap between research and industry on sustainable and thick cathode manufacturing. This study shows a method to produce sustainable and high‐performance new generation cathodes.
Buket Boz +6 more
wiley +1 more source
Risk and Benefit of Drug Use During Pregnancy
Environmental teratogenic factors (e.g. alcohol) are preventable. We focus our analysis on human teratogenic drugs which are not used frequently during pregnancy. The previous human teratogenic studies had serious methodological problems, e.g.
doaj
A case of early diagnosis of alobar holoprosencephaly from Pakistan: importance of prompt prenatal imaging. [PDF]
Qazi R +4 more
europepmc +1 more source
This study introduces a tree‐based machine learning approach to accelerate USP8 inhibitor discovery. The best‐performing model identified 100 high‐confidence repurposable compounds, half already approved or in clinical trials, and uncovered novel scaffolds not previously studied. These findings offer a solid foundation for rapid experimental follow‐up,
Yik Kwong Ng +4 more
wiley +1 more source
FATE-MAP predicts teratogenicity and human gastrulation failure modes by integrating deep learning and mechanistic modeling. [PDF]
Rufo J +8 more
europepmc +1 more source
Graphene hybrid architectures (GHAs) have emerged as promising materials for addressing microplastic pollution. Exceptional surface area, tunable chemistry, and synergistic functionalities play key role in GHAs. This review highlights recent advancements in GHAs for microplastic removal, emphasizing their mechanisms, efficiency, and future ...
Chirasmayee Mohanty +2 more
wiley +1 more source

