Results 91 to 100 of about 129,978 (318)
Lipid nanoparticles containing messenger RNA are characterized by sedimentation velocity analytical ultracentrifugation using UltraScan's new Custom Grid algorithm to provide multi‐dimensional distributions for partial specific volume (particle density), molar mass, sedimentation, diffusion, and hydrodynamic radius.
Sophia Bird +8 more
wiley +1 more source
Introduction: The successful diagnosis and treatment of early-stage breast cancer enhances the quality of life of patients. As a promising alternative to recently developed magnetic resonance imaging-guided radiotherapy, we proposed fluorescence ...
Yugo Minegishi, Yasutomo Nomura
doaj +1 more source
Neutron diffraction results obtained for plastic crystalline dichlorodibromomethane (CBr2Cl2) have been modelled by means of the Reverse Monte Carlo method.
Cuello, Gabriel Julio +5 more
core +1 more source
PREdicting LNP In Vivo Efficacy (PRELIVE) framework enables the prediction of lipid nanoparticle (LNPs) organ‐specific delivery through dual modeling approaches. Composition‐based models using formulation parameters and protein corona‐based models using biological fingerprints both achieve high predictive accuracy across multiple organs.
Belal I. Hanafy +3 more
wiley +1 more source
RNA structure prediction: progress and perspective
Many recent exciting discoveries have revealed the versatility of RNAs and their importance in a variety of cellular functions which are strongly coupled to RNA structures.
Shi, Ya-Zhou +3 more
core +1 more source
Permanent magnets derive their extraordinary strength from deep, universal electronic‐structure principles that control magnetization, anisotropy, and intrinsic performance. This work uncovers those governing rules, examines modern modeling and AI‐driven discovery methods, identifies critical bottlenecks, and reveals electronic fingerprints shared ...
Prashant Singh
wiley +1 more source
SMILES-based QSAR and molecular docking studies of chalcone analogues as potential anti-colon cancer
QSAR modeling was applied to predict the anti-colon activity (against HT-29) of 193 chalcone derivatives using the Monte Carlo method, based on the index of ideality correlation (IIC) target function.
Abolfazl Askarzade +2 more
doaj +1 more source
Solid-state diffusional phase transformations are vital approaches for controlling of the material microstructure and thus tailoring the properties of metals and alloys.
Liu Xueyan, Li Hongwei, Zhan Mei
doaj +1 more source
Transcriptional regulation of lineage commitment--a stochastic model of cell fate decisions.
Molecular mechanisms employed by individual multipotent cells at the point of lineage commitment remain largely uncharacterized. Current paradigms span from instructive to noise-driven mechanisms.
Jose Teles +5 more
doaj +1 more source
Re-engineering a nanodosimetry Monte Carlo code into Geant4: software design and first results
A set of physics models for nanodosimetry simulation is being re-engineered for use in Geant4-based simulations. This extension of Geant4 capabilities is part of a larger scale R&D project for multi-scale simulation involving adaptable, co-working ...
Gargioni, E., Grichine, V., Pia, M. G.
core +1 more source

