Research Insights
The Research Insights area highlights recent advances in science and medicine as well as global laboratory research. Our readers gain tremendous benefit from research discoveries in an indirect manner.
Analysis of (p)ppGpp metabolism and signaling using a dynamic luminescent reporter
As rapidly growing bacteria begin to exhaust nutrients their growth rate slows ultimately leading to the nonreplicative state of quiescence Adaptation to nutrient limitation requires widespread metabolic remodeling
A novel expectation-maximization approach to infer general diploid selection from time-series genetic data
Detecting and quantifying the strength of selection is a major objective in population genetics Since selection acts over multiple generations many approaches have been developed to detect and quantify selection using genetic
Gene dosage and protein valency impact phase separation and fungal cell fate
Cell fate decisions in eukaryotes are regulated by interconnected networks of transcription factors TFs that drive heritable changes in identity However much is unknown about how TFs act together to control cell fate
Identification of risk factors and development of a predictive model in patients using cefmetazole for international normalized ratio elevation
Patient risk factors related to coagulopathy and bleeding when using cefmetazole CMZ have not yet been identified and no models exist to predict side effects during
Comparison of in silico predictions of action potential duration in response to inhibition of IKr and ICaL with new human ex vivo recordings
During drug development candidate compounds are extensively tested for proarrhythmic risk and in particular risk of Torsade de Pointes TdP as indicated by prolongation of the QT interval Drugs that inhibit the rapid delayed rectifier
The potential global health impact and cost-effectiveness of next-generation influenza vaccines: A modelling analysis
Nextgeneration influenza vaccines NGIVs are in development and have the potential to achieve substantial reductions in influenza burden with resulting widespread health and economic benefits
Graph attention networks for predicting drug-gene association of glucocorticoid in oral squamous cell carcinoma: A comparison with GraphSAGE
The present study evaluates the effectiveness of Graph Attention Networks GAT and GraphSAGE in predicting druggene interactions for glucocorticoids in oral squamous cell carcinoma thereby aiding in developing better treatment strategies
Neural network approaches, including use of topological data analysis, enhance classification of human induced pluripotent stem cell colonies by treatment condition
Understanding how stem cells organize to form early tissue layers remains an important open question in developmental biology Helpful in understanding this process are biomarkers or features that signal
Fabrication and appraisal of axitinib loaded PEGylated spanlastics against MCF- 7 and OV- 2774 cell lines using molecular docking methods and in-vitro study
Axitinib is a secondgeneration tyrosine kinase inhibitor that works by selectively inhibiting vascular endothelial growth factor receptors VEGFR VEGFR VEGFR
AI-first structural identification of pathogenic protein target interfaces
The risk of pandemics is increasing as global population growth and interconnectedness accelerate Understanding the structural basis of proteinprotein interactions between pathogens and hosts is critical
