… ever increasing in computing power in HPC environments, more precise and faster learning
models are available … to investigate how one can achieve robust predictions while retaining …

… The accurate prediction of solubility of drugs is still problematic. It was thought for a long …
solubility data from the chemical space of drugs. This study considers the quality of solubility …

… It is necessary to establish a model that can accurately predict the solubility of drugs in …
-mentioned machine learning models can achieve quite good quantitative accuracy with low root-…

… However, accurate prediction of solubility remains … solubility of drugs seems like a very
simple thing to do. A small amount of solid drug is added to a fixed volume of water and allowed …

… Based on this, accurately predicted solubility values in more complex media with high
solubilization capacity, such as the bile-rich intestinal fluid, is highly warranted. In the early drug …

… to the Hansen solubility parameters. The latter were able to correctly predict some trend
regarding … In conclusion, it is possible to correctly classify the solubility of polymers with strongly …

… solubility predictions for both highly and poorly soluble molecules demonstrates the utility of
the prediction … Varnek, “Will we ever be able to accurately predict solubility?” Scientific Data, …

… in accurate protein design for solubility … we will start with the definition of protein water
solubility, followed by a brief introduction to the fundamentals of protein design. The main focus will …

… can stand for sufficient prognostics of solubility. … precise solubility predictions, with the
PML-6-7-1 model being the most adequate for this task. As an example of the quality of prediction, …

… In summary, accurate prediction of the relative stability of different phases in inorganic
materials can help researchers filter out non-viable candidates, hence allowing for the …