AIMC Topic: Hydrogen-Ion Concentration

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A generalized platform for artificial intelligence-powered autonomous enzyme engineering.

Nature communications Jul 1, 2025
Proteins are the molecular machines of life with numerous applications in energy, health, and sustainability. However, engineering proteins with desired functions for practical applications remains slow, expensive, and specialist-dependent. Here we r...
Hydrogen-Ion Concentration Methyltransferases Substrate Specificity Machine Learning Bacterial Proteins Arabidopsis 6-Phytase Artificial Intelligence Yersinia Protein Engineering Arabidopsis Proteins
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Modeling Soil pH at regional scale using environmental covariates and machine learning algorithm.

Environmental monitoring and assessment Jun 24, 2025
Soil pH serves as a critical indicator of soil chemistry and fertility, and mapping its spatial distribution holds significant importance for effective crop management. Digital soil mapping (DSM) is a commonly employed method for making rapid and cos...
Support Vector Machine Models, Chemical Soil Environmental Monitoring Hydrogen-Ion Concentration Machine Learning Algorithms
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Prediction of Metal Nanoparticle Interactions with Soil Properties: Machine Learning Insights into Soil Health Dynamics.

ACS nano Jun 4, 2025
Metal nanoparticles (MNPs) offer great potential to enable precision and sustainable agriculture. However, a comprehensive understanding of the interactions between multiple MNPs and soil properties, including impacts on overall soil health, remains ...
Machine Learning Metal Nanoparticles Soil Microbiology Soil Hydrogen-Ion Concentration
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Unraveling four decades of soil acidification on the Qinghai-Tibetan Plateau: Patterns, drivers, and future projections.

Environmental pollution (Barking, Essex : 1987) May 2, 2025
Soil acidification poses escalating threats to ecosystem functions, yet its spatiotemporal dynamics and drivers across vulnerable high-altitude regions remain poorly resolved. Here, we integrate four-decade soil surveys (1980s-2020s) with machine lea...
Hydrogen-Ion Concentration Grassland Tibet China Soil Environmental Monitoring Ecosystem
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Infrared thermography of beef carcasses and random forest algorithm to predict temperature and pH of Longissimus thoracis on carcasses.

Meat science Apr 10, 2025
This study aimed to evaluate the use of infrared thermography (IRT) as a method for predicting the initial and ultimate temperature, as well as the pH, of the Longissimus thoracis in beef carcasses (LTBC). A total of 102 beef carcasses, consisting of...
Temperature Animals Male Algorithms Red Meat Infrared Rays Refrigeration Thermography Random Forest Cattle Hydrogen-Ion Concentration Muscle, Skeletal
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ESM-Ezy: a deep learning strategy for the mining of novel multicopper oxidases with superior properties.

Nature communications Apr 6, 2025
The UniProt database is a valuable resource for biocatalyst discovery, yet predicting enzymatic functions remains challenging, especially for low-similarity sequences. Identifying superior enzymes with enhanced catalytic properties is even harder. To...
Databases, Protein Deep Learning Hydrogen-Ion Concentration Biocatalysis Oxidoreductases Data Mining
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HEPOM: Using Graph Neural Networks for the Accelerated Predictions of Hydrolysis Free Energies in Different pH Conditions.

Journal of chemical information and modeling Apr 4, 2025
Hydrolysis is a fundamental family of chemical reactions where water facilitates the cleavage of bonds. The process is ubiquitous in biological and chemical systems, owing to water's remarkable versatility as a solvent. However, accurately predicting...
Hydrolysis Neural Networks, Computer Thermodynamics Hydrogen-Ion Concentration Graph Neural Networks
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Application of explainable machine learning in the production of pullulan by Aureobasidium pullulans CGMCCNO.7055.

International journal of biological macromolecules Mar 24, 2025
The application of machine learning in pullulan biofermentation has demonstrated significant potential. Explainable machine learning enhances model transparency and interpretability by revealing the relationships between variables. In this study, we ...
Biomass Hydrogen-Ion Concentration Machine Learning Algorithms Glucans Aureobasidium Fermentation Molecular Weight
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A Deep Retrieval-Enhanced Meta-Learning Framework for Enzyme Optimum pH Prediction.

Journal of chemical information and modeling Mar 24, 2025
The potential of hydrogen (pH) influences the function of the enzyme. Measuring or predicting the optimal pH (pH) at which enzymes exhibit maximal catalytic activity is crucial for enzyme design and application. The rapid development of enzyme mining...
Enzymes Algorithms Deep Learning Hydrogen-Ion Concentration
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Deep-learning-assisted chemo-responsive alizarin red S-based hydrogel sensor for the rapid freshness sensing of aquatic product.

Food research international (Ottawa, Ont.) Mar 15, 2025
Rapid detection of freshness particularly in aquatic products demands efficient sensing strategies. Here, a novel deep-learning-assisted chemo-responsive alizarin red S-based hydrogel sensing platform was established for rapid freshness assay of aqua...
Food Analysis Animals Hydrogen-Ion Concentration Deep Learning Fishes Hydrogels Anthraquinones Seafood Alginates
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