Results 81 to 90 of about 1,904,807 (242)
Physical Origin of Temperature Induced Activation Energy Switching in Electrically Conductive Cement
The temperature‐induced Arrhenius activation energy switching phenomenon of electrical conduction in electrically conductive cement originates from structural degradation within the biphasic ionic‐electronic conduction architecture and shows percolation‐governed characteristics: pore network opening dominates the low‐percolation regime with downward ...
Jiacheng Zhang +7 more
wiley +1 more source
Both human ferredoxins 1 and 2 and ferredoxin reductase are important for iron-sulfur cluster biogenesis [PDF]
Ferredoxins are iron–sulfur proteins that have been studied for decades because of their role in facilitating the monooxygenase reactions catalyzed by p450 enzymes.
Ghosh, Manik +9 more
core +1 more source
Maturation of iron-sulfur proteins in eukaryotes is initiated in mitochondria by the core iron-sulfur cluster assembly (ISC) complex, consisting of the cysteine desulfurase sub-complex NFS1-ISD11-ACP1, the scaffold protein ISCU2, the electron donor ...
Vinzent Schulz +10 more
doaj +1 more source
Fluorescent BODIPY‐conjugated thiosemicarbazone ligands and their Ga(III), In(III), and Fe(III) complexes, inspired by Triapine, are developed as theranostic agents. Multiphoton FLIM and confocal microscopy in cancer cells and zebrafish reveal real‐time uptake, mitochondrial localisation, and whilst spectroscopic assays indicated preserved complex ...
Megan J. Green +15 more
wiley +1 more source
Mitochondrial Iron-Sulfur Cluster Dysfunction In Neurodegenerative Disease
Growing evidence supports a role for mitochondrial iron metabolism in the pathophysiology of neurodegenerative disorders such as Friedreich ataxia and Parkinson disease as well as in the motor and cognitive decline associated with the aging process. Iron-
Grazia eIsaya
doaj +1 more source
An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju +5 more
wiley +1 more source
Modelling the Hydrolysis of Iron-Sulfur Clusters [PDF]
Iron-sulfur (FeS) clusters are essential metal cofactors involved in a wide variety of biological functions. Their catalytic efficiency, biosynthesis and regulation depend on FeS stability in aqueous solution.
Felipe, Curtolo +6 more
core +2 more sources
Bridging a gap in iron-sulfur cluster assembly
The cellular machinery that incorporates iron-sulfur clusters into proteins is directed to particular targets by adaptor proteins.
Erin L. McCarthy, Squire J. Booker
doaj +1 more source
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo +6 more
wiley +1 more source
Thioredoxin Reductase System Mediates Iron Binding in IscA and Iron Delivery for the Iron-Sulfur Cluster Assembly in IscU* [PDF]
IscA is a key member of the iron-sulfur cluster assembly machinery found in bacteria and eukaryotes. Previously, IscA was characterized as an alternative iron-sulfur cluster assembly scaffold, as purified IscA can host transient iron-sulfur clusters ...
Karyn Harrison +5 more
core +1 more source

