Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6366856 | PMC |
| http://dx.doi.org/10.1002/mrm.25214 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Impact of Ligand Structure on Biological Activity and Photophysical Properties of NHC-Protected Au Nanoclusters.
J Am Chem Soc
January 2025
Department of Chemistry, Queen's University, Kingston, Ontario K7L 3N6, Canada.
N-heterocyclic carbene (NHC)-protected gold nanoclusters display high stability and high photoluminescence, making them well-suited for fluorescence imaging and photodynamic therapeutic applications. We report herein the synthesis of two bisNHC-protected Au nanoclusters with π-extended aromatic systems. Depending on the position of the π-extended aromatic system, changes to the structure of the ligand shell in the cluster are observed, with the ability to correlate increases in rigidity with increases in fluorescence quantum yield.
View Article and Find Full Text PDFGlobal cellular proteo-lipidomic profiling of diverse lysosomal storage disease mutants using nMOST.
Sci Adv
January 2025
Department of Cell Biology, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA.
Lysosomal storage diseases (LSDs) comprise ~50 monogenic disorders marked by the buildup of cellular material in lysosomes, yet systematic global molecular phenotyping of proteins and lipids is lacking. We present a nanoflow-based multiomic single-shot technology (nMOST) workflow that quantifies HeLa cell proteomes and lipidomes from over two dozen LSD mutants. Global cross-correlation analysis between lipids and proteins identified autophagy defects, notably the accumulation of ferritinophagy substrates and receptors, especially in and mutants, where lysosomes accumulate cholesterol.
View Article and Find Full Text PDFPathophysiological Effects on Coronary Arteries Following Radiofrequency Ablation: A Comprehensive Review.
Ann Noninvasive Electrocardiol
January 2025
Cardiovascular Analytics Group, Islamabad, Pakistan.
Radiofrequency ablation (RFA) is a safe and effective treatment for patients experiencing ventricular and atrial tachyarrhythmias. While complications after RFA are generally rare, the occurrence of coronary artery (CA) injury, albeit infrequent, can have significant clinical implications. Given the proximity of CAs to common ablation sites, understanding the interplay between RFA and CA perfusion pathophysiology is paramount.
View Article and Find Full Text PDFα-N-Methyltransferase regiospecificity is mediated by proximal, redundant enzyme-substrate interactions.
Protein Sci
February 2025
Department of Biochemistry, Molecular Biology, and Biophysics, University of Minnesota Twin Cities, St. Paul, Minnesota, USA.
N-Methylation of the peptide backbone confers pharmacologically beneficial characteristics to peptides that include greater membrane permeability and resistance to proteolytic degradation. The borosin family of ribosomally synthesized and post-translationally modified peptides offer a post-translational route to install amide backbone α-N-methylations. Previous work has elucidated the substrate scope and engineering potential of two examples of type I borosins, which feature autocatalytic precursors that encode N-methyltransferases that methylate their own C-termini in trans.
View Article and Find Full Text PDFMfgnn: Multi-Scale Feature-Attentive Graph Neural Networks for Molecular Property Prediction.
J Comput Chem
January 2025
College of Medical Information Engineering, Guangdong Pharmaceutical University, Guangzhou, Guangdong, China.
In the realm of artificial intelligence-driven drug discovery (AIDD), accurately predicting the influence of molecular structures on their properties is a critical research focus. While deep learning models based on graph neural networks (GNNs) have made significant advancements in this area, prior studies have primarily concentrated on molecule-level representations, often neglecting the impact of functional group structures and the potential relationships between fragments on molecular property predictions. To address this gap, we introduce the multi-scale feature attention graph neural network (MfGNN), which enhances traditional atom-based molecular graph representations by incorporating fragment-level representations derived from chemically synthesizable BRICS fragments.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!