Results 71 to 80 of about 356,339 (309)
Monitoring and Visualization of Crystallization Processes Using Electrical Resistance Tomography: CaCO(3) and Sucrose Crystallization Case Studies [PDF]
In the current research work, electrical resistance tomography (ERT) was employed for monitoring and visualization of crystallization processes. A first-of-its-kind MATLAB-based interactive GUI application “ERT-Vis” is presented.
Rao, Guruprasad, +18 more
core +1 more source
Protocol for quantifying miRNA trafficking across the endosomal membrane
An in vitro protocol measures miRNA uptake into endosomes isolated from mammalian cell extracts, which are free of subcellular contaminants. Performed at 37 °C in the presence of ATP, it ensures the import of single‐stranded miRNA into the endosomal lumen.
Syamantak Ghosh +2 more
wiley +1 more source
An Overview of Nanomaterials for Water and Wastewater Treatment
Due to the exceptional characteristics which resulted from nanoscale size, such as improved catalysis and adsorption properties as well as high reactivity, nanomaterials have been the subject of active research and development worldwide in recent years ...
Haijiao Lu +5 more
doaj +1 more source
Mass transfer in three-phase reactive crystallization [PDF]
Three-phase reactive crystallization is a multi-step process which involves particles dissolution, gas absorption and precipitation. The purpose of this work is development and comparison of two kind of models for three-phase reactive ...
Ponzo, Paolo
core
Comparative assessment of crystallographic and cryo‐EM models in the Protein Data Bank
Raw data obtained by X‐ray crystallography or cryo‐EM result in experimental maps, ultimately fitted by atomic models. Although the physical principles are different, the final results can be viewed, compared, and evaluated in the same way. With cryogenic electron microscopy (cryo‐EM) on track to surpass X‐ray crystallography as the preferred method ...
Alexander Wlodawer +7 more
wiley +1 more source
A Bond-Level Sequence Framework for Molecular Representation Learning with Structural Constraints
Molecular property prediction is a fundamental task in drug discovery and materials design. While graph neural networks (GNNs) and SMILES-based Transformers have made significant strides, the former are often limited by local message-passing bottlenecks ...
Haoran Fan +6 more
doaj +1 more source
Summary: Nearly 90% of structural models in the Protein Data Bank (PDB), the central resource worldwide for three-dimensional structural information, are currently derived from macromolecular crystallography (MX).
Miranda L. Lynch +2 more
doaj +1 more source
In this study, a novel esterase from the thermoacidophilic archaeon Thermoplasma acidophilum was biochemically and structurally characterized. Our results demonstrate that Ta0887 is a highly thermostable esterase that preferentially hydrolyzes p‐nitrophenyl hexanoate and possesses an α‐helical cap domain that likely contributes to its substrate ...
Alejandro Delgado‐Rey +4 more
wiley +1 more source
Irbesartan (IRB) is a commonly used BCS Class II antihypertensive drug requiring dissolving capacity enhancement to address oral bioavailability limitations.
Junxiao Wang +6 more
doaj +1 more source
Multi-pathway supramolecular self-assembly of meropenem regulated by solvents [PDF]
Understanding the self-assembly of organic small molecules is a long-standing objective in the fields of pharmaceutical crystallization, biomineralization, and materials science. However, the complexity of small-molecule self-assembly and the constraints
Jinshen Ren +10 more
doaj +1 more source

