Results 201 to 210 of about 1,516,828 (318)
Advanced Experiment Design Strategies for Drug Development
Wang et al. analyze 592 drug development studies published between 2020 and 2024 that applied design of experiments methodologies. The review surveys both classical and emerging approaches—including Bayesian optimization and active learning—and identifies a critical gap between advanced experimental strategies and their practical adoption in ...
Fanjin Wang +3 more
wiley +1 more source
Inhibition of coronaviral exoribonuclease activity by TRIM-mediated SUMOylation. [PDF]
Balakrishnan K +7 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
The Open Reading Frame 7b of the SARS-CoV-2 Disperse Trans-Golgi and Activate the NLRP3 Inflammasome. [PDF]
García-Villalba J +4 more
europepmc +1 more source
Machine Learning‐Driven Variability Analysis of Process Parameters for Semiconductor Manufacturing
This research presents a machine learning approach that integrates nonlinear variation decomposition (NLVD) with statistical techniques to quantify the contribution of individual unit processes to performance and variance of figure of merit (FoM) at the LOT level.
Sinyeong Kang +6 more
wiley +1 more source
SARS-CoV-2 crossreactive B-cells outnumber seasonal coronavirus spike-specific clones at the end of the COVID-19 pandemic. [PDF]
Gonzalez-Lopez C +13 more
europepmc +1 more source

