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Evaluation of Deep Learning Architectures for Aqueous Solubility Prediction. [PDF]

open access: yesACS Omega, 2022
Determining the aqueous solubility of molecules is a vital step in many pharmaceutical, environmental, and energy storage applications. Despite efforts made over decades, there are still challenges associated with developing a solubility prediction model
Panapitiya G   +6 more
europepmc   +3 more sources

Boosting the predictive performance with aqueous solubility dataset curation. [PDF]

open access: yesSci Data, 2022
Intrinsic solubility is a critical property in pharmaceutical industry that impacts in-vivo bioavailability of small molecule drugs. However, solubility prediction with Artificial Intelligence(AI) are facing insufficient data, poor data quality, and no ...
Meng J   +7 more
europepmc   +2 more sources

SolTranNet-A Machine Learning Tool for Fast Aqueous Solubility Prediction. [PDF]

open access: yesJ Chem Inf Model, 2021
While accurate prediction of aqueous solubility remains a challenge in drug discovery, machine learning (ML) approaches have become increasingly popular for this task.
Francoeur PG, Koes DR.
europepmc   +2 more sources

Intrinsic Aqueous Solubility: Mechanistically Transparent Data-Driven Modeling of Drug Substances [PDF]

open access: yesPharmaceutics, 2022
Intrinsic aqueous solubility is a foundational property for understanding the chemical, technological, pharmaceutical, and environmental behavior of drug substances.
Mare Oja   +3 more
doaj   +2 more sources

ADME prediction with KNIME: In silico aqueous solubility consensus model based on supervised recursive random forest approaches

open access: yesADMET and DMPK, 2020
In-silico prediction of aqueous solubility plays an important role during the drug discovery and development processes. For many years, the limited performance of in-silico solubility models has been attributed to the lack of high-quality solubility data
Gabriela Falcón-Cano   +2 more
doaj   +2 more sources

Precise heteroatom doping determines aqueous solubility and self-assembly behaviors for polycyclic aromatic skeletons [PDF]

open access: yesCommunications Chemistry, 2022
Enhancing the hydrophilicity of hydrophobic molecular scaffolds allows to increase their aqueous solubility and therefore their usability for a range of applications.
Kang Li   +4 more
doaj   +2 more sources

Pruned Machine Learning Models to Predict Aqueous Solubility. [PDF]

open access: yesACS Omega, 2020
Solubility is a key metric for therapeutic compounds. Conversely, insoluble compounds cloud the accuracy of assays at all stages of chemical biology and drug discovery.
Perryman AL   +4 more
europepmc   +2 more sources

Improvement in aqueous solubility of achiral symmetric cyclofenil by modification to a chiral asymmetric analog [PDF]

open access: yesScientific Reports, 2021
Decreasing the partition coefficient (LogP) by the introduction of a hydrophilic group is the conventional approach for improving the aqueous solubility of drug candidates, but is not always effective. Since melting point is related to aqueous solubility,
Junki Morimoto   +6 more
doaj   +2 more sources

Aqueous Solubility and Degradation Kinetics of the Phytochemical Anticancer Thymoquinone; Probing the Effects of Solvents, pH and Light

open access: yesMolecules, 2014
Thymoquinone (TQ) is a potent anticancer phytochemical with confirmed in vitro efficacy. Its clinical use has not yet established, and very few reports have documented its formulation.
Jumah Masoud M. Salmani   +3 more
doaj   +2 more sources

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