AIMC Topic: Sulfhydryl Compounds
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Ligand supplementation restores the cancer therapy efficacy of the antirheumatic drug auranofin from serum inactivation.
Nature communications
Aug 9, 2025
Auranofin, an FDA-approved antirheumatic gold drug, has gained ongoing interest in clinical studies for treating advanced or recurrent tumors. However, gold ion's dynamic thiol exchange nature strongly attenuates its bioactivity due to the fast forma...
Simultaneous determination of 7 thiols associated proteins in lymphoma patients'serum and cerebrospinal fluid by UHPLC-HRMS technique.
Scientific reports
Jul 3, 2025
Thiol compounds can serve as markers for the antioxidant and prognostic status of lymphoma, playing a crucial role in early tumor diagnosis. However, their high polarity and lack of chromophores pose challenges for multivariate analysis. This study a...
Bioinspired Iron Porphyrin Covalent Organic Frameworks-Based Nanozymes Sensor Array: Machine Learning-Assisted Identification and Detection of Thiols.
ACS applied materials & interfaces
Dec 12, 2024
Given the crucial role of thiols in maintaining normal physiological functions, it is essential to establish a high-throughput and sensitive analytical method to identify and quantify various thiols accurately. Inspired by the iron porphyrin active c...
Deep learning-assisted surface-enhanced Raman spectroscopy detection of intracellular reactive oxygen species.
Talanta
Nov 15, 2024
Realizing the intelligent analysis of the intracellular reactive oxygen species (ROS) is beneficial to quick diagnosis of diseases. Herein, surface-enhanced Raman spectroscopy (SERS) technology was combined with deep learning to establish a smart det...
Thiol modified bimodal mesoporous silica nanoparticles for removal and determination toxic vanadium from air and human biological samples in petrochemical workers.
NanoImpact
Jun 24, 2021
Investigation of exposure to toxic vanadium (V) in petrochemical workers is very important for human health, and it must be removed and determined in workplace air and human biological samples. In this research, the enriched adsorbent based on the th...
Cautionary Guidelines for Machine Learning Studies with Combinatorial Datasets.
ACS combinatorial science
Oct 1, 2020
Regression modeling is becoming increasingly prevalent in organic chemistry as a tool for reaction outcome prediction and mechanistic interrogation. Frequently, to acquire the requisite amount of data for such studies, researchers employ combinatoria...
Antioxidant and Anti-inflammatory Diagnostic Biomarkers in Multiple Sclerosis: A Machine Learning Study.
Molecular neurobiology
Jan 22, 2020
An imbalance of inflammatory/anti-inflammatory and oxidant/antioxidant molecules has been implicated in the demyelination and axonal damage in multiple sclerosis (MS). The current study aimed to evaluate the plasma levels of tumor necrosis factor (TN...
Humans
Nitrosative Stress
Neural Networks, Computer
Receptors, Tumor Necrosis Factor
Tumor Necrosis Factor-alpha
Biomarkers
Female
Inflammation
Sulfhydryl Compounds
Adult
Support Vector Machine
Middle Aged
Sensitivity and Specificity
Oxidation-Reduction
Multiple Sclerosis
Oxidative Stress
Male
Adiponectin
Antioxidants
Advanced Oxidation Protein Products
Nitric Oxide
Smart Plasmonic Nanorobot for Real-Time Monitoring Cytochrome c Release and Cell Acidification in Apoptosis during Electrostimulation.
Analytical chemistry
Dec 4, 2018
Cytochrome c (Cyt c) release and cellular pH change are two important mediators of apoptosis. Effective methods to regulate or monitor such two events are therefore highly desired for apoptosis research and cancer cell therapy. Herein, we exploited e...
SVM-SulfoSite: A support vector machine based predictor for sulfenylation sites.
Scientific reports
Jul 26, 2018
Protein S-sulfenylation, which results from oxidation of free thiols on cysteine residues, has recently emerged as an important post-translational modification that regulates the structure and function of proteins involved in a variety of physiologic...
Label-free impedimetric glycan biosensor for quantitative evaluation interactions between pathogenic bacteria and mannose.
Biosensors & bioelectronics
Dec 2, 2017
In order to understanding the pathogenic mechanism of infectious diseases, it was important to study the selective recognition and interaction between pathogenic bacteria and host cells. In this paper, a novel electrochemical impedance biosensor was ...
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