AIMC Topic: DNA, Single-Stranded

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Shining Light on DNA Mutations through Machine Learning-Augmented Vibrational Spectroscopy.

Analytical chemistry Jun 4, 2025
A method to directly predict the number of nucleic acid bases in a single-stranded DNA (ssDNA) or a genomic DNA has been proposed with a combination of Raman spectroscopy and an Artificial Neural Network (ANN) algorithm. In this work, the algorithm w...
Spectrum Analysis, Raman DNA Mutation DNA, Single-Stranded Neural Networks, Computer Machine Learning Algorithms
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Deep Learning-Assisted Fluorescence Single-Particle Detection of Fumonisin B Powered by Entropy-Driven Catalysis and Argonaute.

Analytical chemistry Jan 27, 2025
Timely and accurate detection of trace mycotoxins in agricultural products and food is significant for ensuring food safety and public health. Herein, a deep learning-assisted and entropy-driven catalysis (EDC)-Argonaute powered fluorescence single-p...
Microspheres Entropy Argonaute Proteins Catalysis Fumonisins DNA, Single-Stranded Deep Learning Aptamers, Nucleotide Biosensing Techniques Food Contamination Limit of Detection Spectrometry, Fluorescence Fluorescence
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A novel four-modal nano-sensor based on two-dimensional Mxenes and fully connected artificial neural networks for the highly sensitive and rapid detection of ochratoxin A.

Talanta Nov 5, 2024
Timely and accurate on-site detection of ochratoxin A (OTA) is extremely important for global public health. In this study, a fluorescence/colorimetric biosensor based on TiC nano-materials (TiC-NMS) and a machine-learning (ML) based fluorescence/col...
Colorimetry Biosensing Techniques Food Contamination Limit of Detection DNA, Single-Stranded Neural Networks, Computer Spectrometry, Fluorescence Ochratoxins Titanium Nanostructures
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Rewireable Building Blocks for Enzyme-Powered DNA Computing Networks.

Journal of the American Chemical Society Sep 10, 2024
Neural networks enable the processing of large, complex data sets with applications in disease diagnosis, cell profiling, and drug discovery. Beyond electronic computers, neural networks have been implemented using programmable biomolecules such as D...
Neural Networks, Computer DNA Neurons DNA, Single-Stranded Computers, Molecular
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Machine learning supported single-stranded DNA sensor array for multiple foodborne pathogenic and spoilage bacteria identification in milk.

Food chemistry Sep 6, 2024
Ensuring food safety through rapid and accurate detection of pathogenic bacteria in food products is a critical challenge in the food supply chain. In this study, a non-specific optical sensor array was proposed for the identification of multiple pat...
Food Microbiology Milk DNA, Single-Stranded Animals Cattle Biosensing Techniques Bacteria DNA, Bacterial Food Contamination Neural Networks, Computer Machine Learning
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Deep learning-based spectroscopic single-molecule localization microscopy.

Journal of biomedical optics May 24, 2024
SIGNIFICANCE: Spectroscopic single-molecule localization microscopy (sSMLM) takes advantage of nanoscopy and spectroscopy, enabling sub-10 nm resolution as well as simultaneous multicolor imaging of multi-labeled samples. Reconstruction of raw sSMLM ...
COS Cells DNA, Single-Stranded Histones Single Molecule Imaging Humans Algorithms Animals Microscopy, Fluorescence Chlorocebus aethiops Deep Learning Image Processing, Computer-Assisted
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Discrimination of Genetic Biomarkers of Disease through Machine-Learning-Based Hypothesis Testing of Direct SERS Spectra of DNA and RNA.

ACS sensors Apr 29, 2024
Cancer is globally a leading cause of death that would benefit from diagnostic approaches detecting it in its early stages. However, despite much research and investment, cancer early diagnosis is still underdeveloped. Owing to its high sensitivity, ...
Humans Machine Learning Spectrum Analysis, Raman MicroRNAs Genetic Markers RNA DNA, Single-Stranded DNA Metal Nanoparticles Silver
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In silico screening of ssDNA aptamer against Escherichia coli O157:H7: A machine learning and the Pseudo K-tuple nucleotide composition based approach.

Computational biology and chemistry Aug 27, 2021
This study was planned to in silico screening of ssDNA aptamer against Escherichia coli O157:H7 by combination of machine learning and the PseKNC approach. For this, firstly a total numbers of 47 validated ssDNA aptamers as well as 498 random DNA seq...
DNA, Single-Stranded Thermodynamics Computational Biology Escherichia coli O157 Drug Evaluation, Preclinical Machine Learning Aptamers, Nucleotide
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A tri-functional probe mediated exponential amplification strategy for highly sensitive detection of Dnmt1 and UDG activities at single-cell level.

Analytica chimica acta Dec 23, 2019
Multiplex DNA methylation and glycosylation are ubiquitous in the human body to ensure the normal function and stability of the genome. The methyltransferases and glycosylases rely on varied enzymes with different action mechanism, which still remain...
Uracil-DNA Glycosidase DNA Probes Nucleic Acid Amplification Techniques Nucleic Acid Hybridization DNA, Single-Stranded Limit of Detection Phthalimides Enzyme Assays DNA (Cytosine-5-)-Methyltransferase 1 Humans Tryptophan Cell Line, Tumor Single-Cell Analysis
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Automated Stoichiometry Analysis of Single-Molecule Fluorescence Imaging Traces via Deep Learning.

Journal of the American Chemical Society Apr 18, 2019
The stoichiometry of protein complexes is precisely regulated in cells and is fundamental to protein function. Singe-molecule fluorescence imaging based photobleaching event counting is a new approach for protein stoichiometry determination under phy...
Photobleaching Fluorescence Deep Learning Fluorescent Dyes Humans Algorithms ErbB Receptors Single Molecule Imaging Protein Structure, Quaternary HeLa Cells DNA, Single-Stranded Carbocyanines
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