AIMC Topic: Sulfinic Acids

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NLP-like deep learning aided in identification and validation of thiosulfinate tolerance clusters in diverse bacteria.

mSphere Jun 17, 2025
Allicin tolerance () clusters in phytopathogenic bacteria, which provide resistance to thiosulfinates like allicin, are challenging to find using conventional approaches due to their varied architecture and the paradox of being vertically maintained ...
Anti-Bacterial Agents Drug Resistance, Bacterial Deep Learning Bacteria Multigene Family Disulfides Pantoea Sulfinic Acids Pseudomonas syringae
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Artificial intelligence as a tool for predicting the quality attributes of garlic (Allium sativum L.) slices during continuous infrared-assisted hot air drying.

Journal of food science Oct 9, 2024
Effective drying methods are a highly suitable solution for ensuring stable food supply chains, reducing postharvest agricultural losses, and preventing the spoilage of perishable fruits and vegetables. Moreover, machine learning techniques are innov...
Neural Networks, Computer Artificial Intelligence Color Taste Food Handling Food Preservation Disulfides Hot Temperature Infrared Rays Desiccation Garlic Sulfinic Acids
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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...
Software Deep Learning Protein Processing, Post-Translational Structure-Activity Relationship Models, Molecular Protein Domains Amino Acid Sequence Sulfides Glutathione Disulfides Sulfonic Acids Cysteine Cations, Divalent Protein Structure, Secondary Electron Transport Complex IV Nitroso Compounds Sulfinic Acids
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