PrimateAI-3D algorithm is a semi-supervised 3D-convolutional neural network for variant pathogenicity prediction, trained on 4.5 million common missense variants with likely benign consequence and pre...

After turning in their press credentials, journalists covering the Defense Department walked out of the Pentagon rather than comply with its restrictive policies.

Spatial omics has empowered the discovery of developmental and disease-associated molecular signatures, cell states and multicellular niches, as well as the evaluation of disease heterogeneity within and across organs. The authors review spatially resolved molecular changes across diseases and discuss the potential of spatial multi-omics for clinical applications, including the recent impact of artificial intelligence.

Protein-protein interactions (PPI) are essential for biological function. Coevolutionary analysis and deep learning (DL) based protein structure prediction have enabled comprehensive PPI identificatio...

Defining the sequence of events in renal disease is the cornerstone of clinical practice in the nephrologist toolkit. Tissue proteomic analyses are a significant approach to understanding the fundamen...

The molecular pathophysiology of nephrotic syndrome remains largely elusive in pediatric patients. While most children with minimal change disease (MCD) show favorable responses to immunosuppressive t...

YouTube video by American Society of Nephrology

The abnormal variation of phosphorylation can lead to many human diseases, such as Alzheimer's disease and cancer. Because of its high throughput and …

Neuronal communication relies on neurotransmitter release from synaptic vesicles (SVs), whose dynamics are controlled by Ca2+-dependent pathways, as many thoroughly studied phosphorylation cascades. H...

The selectivity of protein kinase inhibitors (PKIs) remains a major challenge in drug discovery. In this study, we present an ultradeep phosphoproteomics approach for assessing PKI selectivity and elucidating mechanisms of action using Zanubrutinib as a model. Two complementary phosphoproteomics strategies were employed: phosphopeptides enriched with Zr4+-IMAC in combination with TiO2 beads were analyzed using data-independent acquisition (DIA), while tyrosine phosphopeptides enriched with SH2-Superbinder were analyzed via data-dependent acquisition (DDA). The comprehensive phosphoproteomic analysis identified that 97 and 316 phosphosites were significantly altered upon Zanubrutinib stimulation in the DDA and DIA data sets, respectively. Bioinformatics analysis of these phosphoproteins provided a detailed selectivity profile of Zanubrutinib, offering insights into its mechanism of action at the molecular level. Compared to existing methods, our approach is more comprehensive, has higher throughput, and is more precise─not only for PKI selectivity assessment but also for broader cell signaling research.