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Disulfides

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Label-free approach for electrochemical ferritin sensing using biosurfactant stabilized tungsten disulfide quantum dots.

Biosensors & bioelectronics
A novel approach for the synthesis of biosurfactant stabilized/functionalized tungsten disulfide (WS-B) quantum dots (QDs) and its application for ferritin immunosensor is reported. These 2-D layered material derived quantum dots are synthesized via ...

[Effect of Kangfuxin liquid combined with Garlicin Capsules in treatment of children with recurrent oral ulcer and on immune regulation].

Shanghai kou qiang yi xue = Shanghai journal of stomatology
PURPOSE: To study the effect of Kangfuxin liquid combined with Garlicin Capsules in treatment of children with recurrent oral ulcer (ROU) and on immunological regulation.

Mimicking Neurotransmitter Release in Chemical Synapses via Hysteresis Engineering in MoS Transistors.

ACS nano
Neurotransmitter release in chemical synapses is fundamental to diverse brain functions such as motor action, learning, cognition, emotion, perception, and consciousness. Moreover, improper functioning or abnormal release of neurotransmitter is assoc...

MoS Memristors Exhibiting Variable Switching Characteristics toward Biorealistic Synaptic Emulation.

ACS nano
Memristors based on 2D layered materials could provide biorealistic ionic interactions and potentially enable construction of energy-efficient artificial neural networks capable of faithfully emulating neuronal interconnections in human brains. To bu...

Rapid Identification of Disulfide Bonds and Cysteine-Related Variants in an IgG1 Knob-into-Hole Bispecific Antibody Enhanced by Machine Learning.

Analytical chemistry
Bispecific antibodies are regarded as the next generation of therapeutic modalities as they can simultaneously bind multiple targets, increasing the efficacy of treatments for several diseases and opening up previously unattainable treatment designs....

Gaussian synapses for probabilistic neural networks.

Nature communications
The recent decline in energy, size and complexity scaling of traditional von Neumann architecture has resurrected considerable interest in brain-inspired computing. Artificial neural networks (ANNs) based on emerging devices, such as memristors, achi...

Bandgap prediction of two-dimensional materials using machine learning.

PloS one
The bandgap of two-dimensional (2D) materials plays an important role in their applications to various devices. For instance, the gapless nature of graphene limits the use of this material to semiconductor device applications, whereas the indirect ba...

diSBPred: A machine learning based approach for disulfide bond prediction.

Computational biology and chemistry
The protein disulfide bond is a covalent bond that forms during post-translational modification by the oxidation of a pair of cysteines. In protein, the disulfide bond is the most frequent covalent link between amino acids after the peptide bond. It ...

Deep learning for nanopore ionic current blockades.

The Journal of chemical physics
DNA molecules can electrophoretically be driven through a nanoscale opening in a material, giving rise to rich and measurable ionic current blockades. In this work, we train machine learning models on experimental ionic blockade data from DNA nucleot...