In this work, we developed artificial intelligence-based models for prediction and correlation of CO2 solubility in amino acid solutions the purpose capture. The were used to correlate process parameters loading solvent. Indeed, loading/solubility solvent was considered as sole model’s output. studied work potassium sodium-based salt solutions. For predictions, tried three potential models, inc...

Prediction and engineering of protein solubility is an important but imprecise area. While some features are routinely used, such as the avoidance of extensive non-polar surface area, scope remains for benchmarking of sequence and structural features with experimental data. We study properties in the context of experimental solubilities, protein gene expression levels, and families of abundant ...