AIMC Topic: Kinetics

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Data-Driven Recursive Kinetic Modeling for Fenton Reaction.

Environmental science & technology
The Fenton reaction is a widely used advanced oxidation process for water purification, valued for its simplicity and effectiveness in degrading refractory organic pollutants. However, accurately modeling its degradation kinetics remains challenging ...

Characterization of binding kinetics and intracellular signaling of new psychoactive substances targeting cannabinoid receptor using transition-based reweighting method.

eLife
New psychoactive substances (NPS) targeting human cannabinoid receptor 1 pose a significant threat to society as recreational abusive drugs that have pronounced physiological side effects. These greater adverse effects compared to classical cannabino...

Recurrent Neural Networks Predict Future Peptide Aggregation for Drug Development.

Molecular pharmaceutics
Physical stability of an active pharmaceutical ingredient (API) is a key consideration in the development of a pharmaceutical drug. Solution conditions such as pH, excipient concentrations, and storage temperatures can impact the physical stability o...

Development of prediction models on the degradation kinetics parameters of antibiotics in aquatic environments with machine learning methods.

Environmental science. Processes & impacts
Antibiotics, as emerging contaminants, are increasingly detected in aquatic environments, raising significant concerns about their ecological risks. However, the lack of hydrolysis rate constants () and aqueous hydroxyl radical degradation rate const...

TCNeKP: A Novel Deep Learning Architecture for Enzyme Catalytic Activity Prediction.

Journal of chemical information and modeling
Accurate prediction of enzyme kinetic parameters ( and ) is crucial for enzyme rational design and engineering research. Based on a heterogeneous data set encompassing 17,893 and 24,585 records across 8911 enzyme sequences from 7 EC classes and 502...

Ligand Dissociation Pathways from Membrane Receptors Revealed by Weighted Ensemble Simulations.

The journal of physical chemistry. B
G-protein-coupled receptors (GPCRs) are pivotal in cellular signal transduction and serve as key drug targets. Among them, the β-adrenergic receptors (βAR and βAR) regulate cardiovascular function and are activated by endogenous catecholamines, norep...

Integrating AI-based neural network modeling with experimental characterization for Cd(II) ion adsorption using Sargassum fusiforme biosorbent.

Environmental research
Cadmium (Cd) contamination in wastewater presents serious environmental and public health challenges, requiring efficient mitigation strategies. This research focuses on assessing the biosorption capability of Sargassum fusiforme (SF) biosorbent for ...

Using Time Dependent Rate Analysis to Evaluate the Quality of Machine Learned Reaction Coordinates for Biasing and Computing Kinetics.

The journal of physical chemistry. B
Having an accurate reaction coordinate (RC) is essential for reliable kinetic characterization of molecular processes, but there are few quantitative metrics to evaluate RC quality. In this study, we consider the dimensionless γ metric from the Expon...

Building Predictive Understanding of the Activated Sludge Microbiome by Bridging Microbial Growth Kinetics and Microbial Population Dynamics.

Environmental science & technology
Modeling microbiomes can provide predictive insights into microbial ecology, but current modeling approaches suffer from inherent limitations. In this study, a novel modeling approach was developed based on the intrinsic connection between the growth...

Segmentation for Learning Adsorption Patterns and Residence-Time Kinetics on Amorphous Surfaces.

Journal of chemical information and modeling
Heterogeneous surfaces such as amorphous silica are characterized by highly heterogeneous local atomic environments that govern the adsorption of gas molecules through spatial arrangements. These surfaces exhibit properties that are particularly rele...