AIMC Topic: Solubility

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Solubility Optimization of Loxoprofen as a Nonsteroidal Anti-Inflammatory Drug: Statistical Modeling and Optimization.

Molecules (Basel, Switzerland) Jul 7, 2022
Industrial-based application of supercritical CO (SCCO) has emerged as a promising technology in numerous scientific fields due to offering brilliant advantages, such as simplicity of application, eco-friendliness, and high performance. Loxoprofen so...
Artificial Intelligence Solubility Phenylpropionates Anti-Inflammatory Agents, Non-Steroidal Anti-Inflammatory Agents
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Multi-channel GCN ensembled machine learning model for molecular aqueous solubility prediction on a clean dataset.

Molecular diversity Jun 23, 2022
This study constructed a new aqueous solubility dataset and a solubility regression model which was ensembled by GCN and machine learning models. Aqueous solubility is a key physiochemical property of small molecules in drug discovery. In the past fe...
Solubility Software Water Neural Networks, Computer Machine Learning
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HGSORF: Henry Gas Solubility Optimization-based Random Forest for C-Section prediction and XAI-based cause analysis.

Computers in biology and medicine May 30, 2022
A stable predictive model is essential for forecasting the chances of cesarean or C-section (CS) delivery, as unnecessary CS delivery can adversely affect neonatal, maternal, and pediatric morbidity and mortality, and can incur significant financial ...
Algorithms Infant, Newborn Machine Learning Solubility Child Bayes Theorem Humans Artificial Intelligence
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Pharmacotechnical Evaluation by SeDeM Expert System to Develop Orodispersible Tablets.

AAPS PharmSciTech May 9, 2022
Sediment delivery model (SeDeM) system is innovative tool to correlate micromeritic properties of powders with compressibility. It involves computation of indices which facilitate direct compressibility of solids and enable corrective measures throug...
Tablets Drug Compounding Powders Excipients Expert Systems Solubility
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Preformulation studies of thymopentin: analytical method development, physicochemical properties, kinetic degradation investigations and formulation perspective.

Drug development and industrial pharmacy Mar 15, 2022
Thymopentin (TP5) is a synthetic pentapeptide with immunomodulatory properties. Given the previously described poor absorption of TP5, preformulation data is required to support effective formulation development. In this manuscript, an analytical met...
Kinetics Thymopentin Drug Liberation Solubility Half-Life
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Modeling solubility of CO-N gas mixtures in aqueous electrolyte systems using artificial intelligence techniques and equations of state.

Scientific reports Mar 7, 2022
Determining the solubility of non-hydrocarbon gases such as carbon dioxide (CO) and nitrogen (N) in water and brine is one of the most controversial challenges in the oil and chemical industries. Although many researches have been conducted on solubi...
Solubility Gases Water Carbon Dioxide Artificial Intelligence
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Accurate Physical Property Predictions via Deep Learning.

Molecules (Basel, Switzerland) Mar 3, 2022
Neural networks and deep learning have been successfully applied to tackle problems in drug discovery with increasing accuracy over time. There are still many challenges and opportunities to improve molecular property predictions with satisfactory ac...
Drug Discovery Deep Learning Bayes Theorem Neural Networks, Computer Solubility
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Enzymatic extraction and functional properties of phosphatidylcholine from chicken liver.

Poultry science Dec 30, 2021
An environmentally sustainable method to extract phosphatidylcholine (PC) from chicken liver (PCCL) and its functional properties were studied. The extraction times, enzymatic hydrolysis time, the solid-liquid ratio as well as types of enzymes (prota...
Solubility Liver Endopeptidases Chickens Hydrolysis Animals Ethanol Lecithins
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DSResSol: A Sequence-Based Solubility Predictor Created with Dilated Squeeze Excitation Residual Networks.

International journal of molecular sciences Dec 17, 2021
Protein solubility is an important thermodynamic parameter that is critical for the characterization of a protein's function, and a key determinant for the production yield of a protein in both the research setting and within industrial (e.g., pharma...
Deep Learning Computational Biology Proteins Solubility Models, Chemical Amino Acid Sequence
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Yield prediction of "Thermal-dissolution based carbon enrichment" treatment on biomass wastes through coupled model of artificial neural network and AdaBoost.

Bioresource technology Oct 2, 2021
The "Thermal-dissolution based carbon enrichment" was proven as an efficient and homogenizing treatment method in converting biomass wastes into similar high-quality carbon materials. However, their yields varied significantly with respect to the dif...
Solubility Biomass Carbon Neural Networks, Computer Algorithms
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