AIMC Topic: Histidine

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Development of AI-integrated smartphone sponge-based sensors utilizing His@Co-NC nanozymes for highly sensitive sarcosine detection.

Biosensors & bioelectronics May 26, 2025
The increasing demand for point-of-care detection of low-concentration cancer biomarkers has necessitated the development of innovative nanozyme-based sensing technologies. Here, a smartphone-integrated platform is presented that utilizes artificial ...
Humans Artificial Intelligence Biomarkers, Tumor Male Colorimetry Smartphone Biosensing Techniques Limit of Detection Prostatic Neoplasms Cobalt Histidine Sarcosine
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DeepNphos: A deep-learning architecture for prediction of N-phosphorylation sites.

Computers in biology and medicine Jan 28, 2024
MOTIVATION: Phosphorylation, a prevalent post-translational modification, plays a crucial role in regulating cellular activities. This process encompasses O-phosphorylation (e.g., phosphoserine) and N-phosphorylation (e.g., phospho-lysine (pK), phosp...
Deep Learning Protein Processing, Post-Translational Phosphorylation Arginine Lysine Histidine
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iPhosH-PseAAC: Identify Phosphohistidine Sites in Proteins by Blending Statistical Moments and Position Relative Features According to the Chou's 5-Step Rule and General Pseudo Amino Acid Composition.

IEEE/ACM transactions on computational biology and bioinformatics Apr 6, 2021
Protein phosphorylation is one of the key mechanism in prokaryotes and eukaryotes and is responsible for various biological functions such as protein degradation, intracellular localization, the multitude of cellular processes, molecular association,...
Neural Networks, Computer Computational Biology Models, Statistical Proteins Phosphorylation Amino Acid Sequence Sequence Analysis, Protein Histidine
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Machine learning uncovers independently regulated modules in the Bacillus subtilis transcriptome.

Nature communications Dec 11, 2020
The transcriptional regulatory network (TRN) of Bacillus subtilis coordinates cellular functions of fundamental interest, including metabolism, biofilm formation, and sporulation. Here, we use unsupervised machine learning to modularize the transcrip...
Machine Learning Transcriptome Gene Regulatory Networks Bacillus subtilis Ethanol DNA Damage Bacterial Proteins Data Mining Tryptophan Quorum Sensing Gene Expression Regulation, Bacterial Iron Chelating Agents Histidine
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Label-Free Classification of L-Histidine Vs Artificial Human Sweat Using Laser Scribed Electrodes and a Multi-Layer Perceptron Neural Network.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
A challenge in wearable technology lies in the realtime monitoring of molecular biomarkers associated with human health. Electrochemical sensors are one of the most useful tools for this purpose and are commonly used in health monitoring devices. Ele...
Humans Neural Networks, Computer Algorithms Biosensing Techniques Electrochemical Techniques Electrodes Lasers Sweat Histidine Multilayer Perceptrons
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