Results 151 to 160 of about 700,727 (353)
Generation of virtual patients for in silico cardiomyopathies drug development
Vasileios C. Pezoulas +2 more
openalex +1 more source
Three-dimensional micro-structurally informed in silico myocardium -- towards virtual imaging trials in cardiac diffusion weighted MRI [PDF]
Mojtaba Lashgari +6 more
openalex +1 more source
Evaluating the Utilities of Foundation Models in Single‐Cell Data Analysis
This study delivers the first systematic, task‐level evaluation of single‐cell foundation models across eight core analytical tasks. By benchmarking 10 leading models with the scEval framework, it reveals where foundation models truly add value, where task‐specific methods still dominate, and provides concrete, reproducible guidelines to steer the next
Tianyu Liu +4 more
wiley +1 more source
Multi- e GO: An in silico lens to look into protein aggregation kinetics at atomic resolution
Emanuele Scalone +9 more
openalex +2 more sources
This study presents the de novo design and directed evolution of a mirror‐image D‐protein inhibitor targeting human interleukin‐4 (IL‐4). The engineered molecule exhibits nanomolar binding affinity for IL‐4 and effectively inhibits IL‐4–mediated signaling.
Liqing Xu +7 more
wiley +1 more source
Embedded CRISPRi Enhances Gene‐Silencing Efficiency in Drosophila
Current CRISPR interference (CRISPRi) technology in Drosophila has limited efficiency. This study introduces the emCRISPRi platform, which significantly enhances transcriptional silencing efficacy by embedding inhibitory domains within the dCas9 architecture.
Pengchong Fu +7 more
wiley +1 more source
Radiation effects on silicon Summary report 1 Nov. 1965 - 20 Apr. 1967 [PDF]
Radiation-induced displacement effects measured in n and p type, low and high resistivity ...
Horiye, H., Naber, J. A., Wikner, E. G.
core +1 more source
Causal Prediction of TP53 Variant Pathogenicity Using a Perturbation‐Informed Protein Language Model
A TP53‐specific predictor, CaVepP53, is developed by fine‐tuning ESMC on experimentally validated variants, quantifying pathogenicity via Euclidean distances. It outperforms general‐purpose models and extends to five cancer genes, enabling interpretable variant classification for precision medicine.
Huiying Chen +15 more
wiley +1 more source
Correction: Global reactivity models are impactful in industrial synthesis applications
Paulo Neves +8 more
doaj +1 more source

