Results 181 to 190 of about 1,242,031 (332)
Engineering luminescent biosensors for point-of-care SARS-CoV-2 antibody detection
Susanna K. Elledge+18 more
openalex +1 more source
Researchers developed SCORCH2, an advanced machine‐learning scoring function for virtual screening that combines two complementary XGBoost models to re‐evaluate protein‐ligand binding plausibility. The method demonstrates superior performance on standard benchmarks, shows excellent generalization to previously unseen protein targets, and provides ...
Lin Chen+3 more
wiley +1 more source
MINERVA: A facile strategy for SARS-CoV-2 whole genome deep sequencing of clinical samples
Chen Chen+13 more
openalex +1 more source
Self‐amplifying (saRNA), linear (linRNA), and circular (circRNA) mRNAs are compared under standardized conditions using lipid nanoparticles (LNPs) and pABOL polymer. saRNA achieved superior expression, while linRNA and circRNA performance varied based on untranslated region elements and delivery method.
Irafasha C. Casmil+12 more
wiley +1 more source
The influence of pH on SARS-CoV-2 infection and COVID-19 severity
Leandro Jimenez+20 more
openalex +1 more source
The first low‐temperature interfacial evaporation air sterilization technology is presented. It is based on a superhydrophilic ferromagnetic micro/nano‐structured stainless‐steel filter, showing ultra‐efficient inductive heating. This technology has demonstrated over 99.6% of SARS‐CoV‐2 and RSV elimination at temperatures in the 60–80 °C range.
Arnau Fons+15 more
wiley +1 more source
Novel Swelling‐Lytic Cell Death Triggered by Cargo‐Free Ionizable Lipid Nanoparticles
A cargo‐free ionizable lipid nanoparticles (ipLNP) is found to induce broad swelling‐lytic cell death across multiple cell types. Cell death may be associated with lysosome membrane destabilization, involving ROS increase, lipid peroxidation, and GSDME cleavage.
Junjun Wu+13 more
wiley +1 more source
Tracking the introduction and spread of SARS-CoV-2 in coastal Kenya
George Githinji+25 more
openalex +1 more source
Biomolecular Interaction Prediction: The Era of AI
This review offers a thorough examination of recent progress in deep learning for predicting biomolecular interactions, including those involving proteins, nucleic acids, and small molecules. It covers data processing strategies, representative model architectures, and evaluation metrics, while highlighting current methodological limitations.
Haoping Wang, Xiangjie Meng, Yang Zhang
wiley +1 more source