AIMC Topic: Disulfides

Clear Filters Showing 11 to 20 of 25 articles

Bandgap prediction of two-dimensional materials using machine learning.

PloS one Aug 13, 2021
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...
Databases, Chemical Disulfides Electric Conductivity Semiconductors Graphite Boron Compounds Machine Learning Models, Statistical Molybdenum
View on PubMed DOI

Tuning the reversibility of hair artificial muscles by disulfide cross-linking for sensors, switches, and soft robotics.

Materials horizons Mar 25, 2021
Tensile and torsional artificial muscles from biocompatible and biodegradable materials are highly desired for soft robotics, sensors, and controllers in bio-related applications. Twisted fibers can be used to prepare tensile and torsional artificial...
Rotation Disulfides Muscle Fibers, Skeletal Water Robotics
View on PubMed DOI

DeepCys: Structure-based multiple cysteine function prediction method trained on deep neural network: Case study on domains of unknown functions belonging to COX2 domains.

Proteins Feb 22, 2021
Cysteine (Cys) is the most reactive amino acid participating in a wide range of biological functions. In-silico predictions complement the experiments to meet the need of functional characterization. Multiple Cys function prediction algorithm is scar...
Protein Structure, Secondary Electron Transport Complex IV Nitroso Compounds Sulfonic Acids Cysteine Models, Molecular Deep Learning Sulfides Cations, Divalent Software Sulfinic Acids Protein Domains Protein Processing, Post-Translational Glutathione Amino Acid Sequence Structure-Activity Relationship Disulfides
View on PubMed DOI

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

Computational biology and chemistry Jan 27, 2021
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 ...
Proteins Amino Acid Sequence Disulfides Algorithms Support Vector Machine Protein Conformation
View on PubMed DOI

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

Biosensors & bioelectronics Dec 21, 2019
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 ...
Disulfides Quantum Dots Humans Tungsten Electrochemical Techniques Biosensing Techniques Ferritins
View on PubMed DOI

Gaussian synapses for probabilistic neural networks.

Nature communications Sep 13, 2019
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...
Transistors, Electronic Disulfides Normal Distribution Neural Networks, Computer Molybdenum Nanotechnology
View on PubMed DOI

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

Analytical chemistry Dec 14, 2018
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....
Cysteine Antibodies, Bispecific Machine Learning Immunoglobulin G Disulfides
View on PubMed DOI

MoS Memristors Exhibiting Variable Switching Characteristics toward Biorealistic Synaptic Emulation.

ACS nano Sep 11, 2018
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...
Humans Neural Networks, Computer Surface Properties Disulfides Brain Molybdenum Printing Particle Size Electronics Synapses
View on PubMed DOI

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

ACS nano Mar 10, 2017
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...
Synapses Disulfides Synaptic Transmission Neurotransmitter Agents Humans Neural Networks, Computer Molybdenum
View on PubMed DOI

Modulatory role of garlicin in migration and invasion of intrahepatic cholangiocarcinoma via PI3K/AKT pathway.

International journal of clinical and experimental pathology Nov 1, 2015
Increasing evidences have indicated the role of garlicin in inhibiting the progression of various tumors including glioma, pulmonary carcinoma and pancreatic carcinoma, via mediating cell apoptosis or cell cycle. The regulatory effect and related mol...
Phosphatidylinositol 3-Kinase Phosphoinositide-3 Kinase Inhibitors Dose-Response Relationship, Drug Antineoplastic Agents, Phytogenic Phosphorylation Cell Movement Neoplasm Invasiveness Humans Allyl Compounds Cell Line, Tumor Proto-Oncogene Proteins c-akt Protein Kinase Inhibitors Cell Proliferation Bile Duct Neoplasms Cholangiocarcinoma Signal Transduction Disulfides
View on PubMed
Popular Topics
Recent Journals