Implementation of Drug‐Induced Rhabdomyolysis and Acute Kidney Injury in Microphysiological System
Advanced Functional Materials, EarlyView.A modular Muscle–Kidney proximal tubule‐on‐a‐chip integrates 3D skeletal muscle and renal proximal tubule tissues to model drug‐induced rhabdomyolysis and acute kidney injury. The coculture system enables dynamic tissue interaction, functional contraction monitoring, and quantification of nephrotoxicity, revealing drug side effect‐induced metabolic ...
Jaesang Kim +4 more
wiley +1 more source
Weighted Ensemble Simulations Reveal Novel Conformations and Modulator Effects in Hepatitis B Virus Capsid Assembly. [PDF]
J Chem Theory ComputLynch DL, Pavlova A, Fan Z, Gumbart JC.
europepmc +1 more source
Caracterización paleontológica de una asociación de gasterópodos terrestres del Cuaternario de La Gomera [PDF]
, 2015 González Rodríguez, Alberto
core
Inactivating SARS‐CoV‐2 Virus with MOF‐Composites as Smart Face Masks
Advanced Functional Materials, EarlyView.In situ preparation and functionalization of MOF@Cotton fabrics as smart face masks for the immobilization of proteins and inactivation viruses, such as SARS‐CoV‐2. Abstract The significant impact of the SARS‐CoV‐2 (COVID‐19) pandemic outbreak on people's lives has highlighted the urgent need for effective personal protective equipment.
Romy Ettlinger +9 more
wiley +1 more source
Iterative Modeling via Structural Diffusion (IMSD): Exploring Fold-Switching Pathways in Metamorphic Proteins Using AlphaFold2-Based Generative Diffusion Model UFConf. [PDF]
ProteinsLuzik DA, Skrynnikov NR.
europepmc +1 more source
La trilogía del adulterio de Linares Rivas: notas para una didáctica del teatro breve [PDF]
, 1995 Rodríguez, Alfredo
core +1 more source
MOFs and COFs in Electronics: Bridging the Gap between Intrinsic Properties and Measured Performance
Advanced Functional Materials, EarlyView.Metal‐organic frameworks (MOFs) and covalent organic frameworks (COFs) hold promise for advanced electronics. However, discrepancies in reported electrical conductivities highlight the importance of measurement methodologies. This review explores intrinsic charge transport mechanisms and extrinsic factors influencing performance, and critically ...
Jonas F. Pöhls, R. Thomas Weitz
wiley +1 more source
Spin and Momentum Mapping of Highly Oriented Spinterfaces. [PDF]
Nano LettCojocariu I +4 more
europepmc +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
Advanced Functional Materials, EarlyView.A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
Chromatin landscape, transcriptomic and ChIP-seq profiling of Anopheles stephensi MSQ43 cell line. [PDF]
Sci DataLukyanchikova V +7 more
europepmc +1 more source