Results 81 to 90 of about 32,374 (267)
In silico and in vitro exploration of a tyrosinase for biocatalytic production of catechols
Tyrosinase from Ralstonia pseudosolanacearum is a promising biocatalyst for producing valuable catechols from monophenol substrates. This tyrosinase is uniquely suited to this due to its high monophenolase : diphenolase ratio. We combined in silico docking and in vivo kinetic characterisation of this tyrosinase with 11 industrially relevant monophenols,
James Britton +6 more
wiley +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
Coupling in Fe(2 ML)/V(y ML) and Fe(2 ML)/V(y ML)/Fe(3 ML)/V(y ML) (y ≥ 4) superlattices
Abstract Fe(2 ML)/V(y ML) and interleaved Fe(2 ML)/V(y ML)/Fe(3 ML)/V(y ML) superlattice systems with spacer thicknesses, y, (4 ≤ y ≤ 17) were investigated macro-magnetically to estimate the coupling strength and the magnetoresistance in these materials, and particularly in the antiferromagnetically coupled monolayers.
openaire +2 more sources
Recent insights into the molecular mechanism of ubiquinol oxidation by cytochrome bc1
The review reflects on the mechanism of the catalytic reaction in cytochrome bc1: the electron bifurcation that involves the separation of two electrons derived from the quinol oxidation to opposite sides of the enzyme across the membrane. This review summarizes the long‐standing effort to understand the mechanism of quinol oxidation catalyzed by ...
Anna Wójcik‐Augustyn +2 more
wiley +1 more source
CubicML: Automated ML for Large ML Systems Co-design with ML Prediction of Performance
Scaling up deep learning models has been proven effective to improve intelligence of machine learning (ML) models, especially for industry recommendation models and large language models. The co-design of large distributed ML systems and algorithms (to maximize training performance) plays a pivotal role for its success.
Wei Wen 0003 +4 more
openaire +3 more sources
Type I interferons modulate autophagy to shape gemcitabine response in pancreatic cancer cells
Type I interferons differentially modulate autophagy and the response of pancreatic cancer cells to gemcitabine. IFNα2b stimulates autophagic flux and protects cells from gemcitabine‐induced cell death, contributing to chemoresistance. In contrast, IFNβ1a inhibits autophagosome formation and enhances gemcitabine‐induced cell death, resulting in ...
Lucy E. Bonilla +10 more
wiley +1 more source
Multiple Sclerosis Relapse Activity After Ozanimod Discontinuation in DAYBREAK Trial Participants
Multiple Sclerosis Relapse Activity After Ozanimod Discontinuation in DAYBREAK Trial Participants. ABSTRACT Objective Return of disease activity is expected when patients discontinue disease‐modifying therapy (DMT) for multiple sclerosis (MS). Some MS DMTs are associated with higher‐than‐expected disease activity (rebound) after discontinuation.
Ralf Gold +12 more
wiley +1 more source
Deep learning-based prediction of mortality using brain midline shift and clinical information
Brain midline shift (MLS) indicates the severity of mass effect from intracranial lesions such as traumatic brain injury, stroke, brain tumor, or hematoma.
An-Rong Wu +6 more
doaj +1 more source
ABSTRACT Objective To (1) validate GAD65‐ELISA detection and quantification for type 1 diabetes mellitus and autoimmune neurological diagnoses, (2) correlate ELISA results (reference range < 5 IU/mL) with established radioimmunoprecipitation assay (RIA; ≤ 0.02 nmol/L), and (3) define ELISA clinical utility and pitfalls.
Andrew McKeon +11 more
wiley +1 more source
ABSTRACT Background X‐linked adrenoleukodystrophy (X‐ALD) is a neurometabolic disorder caused by pathogenic variants in ABCD1, leading to slowly progressive spinal cord disease in nearly all affected men. Sensitive biomarkers to quantify disease severity and predict progression are needed for clinical care and trial design.
Eda G. Kabak +4 more
wiley +1 more source

