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Aqueous Solubility Prediction of Drugs Based on Molecular Topology and Neural Network Modeling
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inferred← citeshttps://doi.org/10.1248/yakushi.125.853openalex-snapshot
In Silico Prediction of Pharmacokinetic Properties
inferred← citeshttps://doi.org/10.1515/jib-2018-0065openalex-snapshot
Deep Convolutional Neural Networks for the Prediction of Molecular Properties: Challenges and Opportunities Connected to the Data
inferred← citeshttps://doi.org/10.1517/17425255.1.4.613openalex-snapshot
Computational models to predict aqueous drug solubility, permeability and intestinal absorption
inferred← citeshttps://doi.org/10.1517/17425255.2.3.471openalex-snapshot
4SCan/vADME: intelligent library screening as a shortcut from hits to lead compounds
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Structure – ADME relationship: still a long way to go?
inferred← citeshttps://doi.org/10.1517/17460441.1.1.31openalex-snapshot
In silicoprediction of aqueous solubility
inferred← citeshttps://doi.org/10.2133/dmpk.19.327openalex-snapshot
In Silico Approaches for Predicting ADME Properties of Drugs
inferred← citeshttps://doi.org/10.2147/ijhts.s9735openalex-snapshot
Quantitative analysis of aggregation-solubility relationship by in-silico solubility prediction
inferred← citeshttps://doi.org/10.2165/00003088-200241110-00005openalex-snapshot
Theoretical Predictions of Drug Absorption in Drug Discovery and Development
inferred← citeshttps://doi.org/10.2174/0115680266280005231207105900openalex-snapshot
Improving ADMET Prediction Accuracy for Candidate Drugs: Factors to Consider in QSPR Modeling Approaches
inferred← citeshttps://doi.org/10.2174/0115734129314568241009053724openalex-snapshot
Determination of pH-Solubility Profile and Development of Prediction Models for pH-Dependent Solubility of Atorvastatin Calcium
inferred← citeshttps://doi.org/10.2174/1568026023392922openalex-snapshot
The Present Utility and Future Potential for Medicinal Chemistry of QSAR / QSPR with Whole Molecule Descriptors
inferred← citeshttps://doi.org/10.2174/1568026033392606openalex-snapshot
Design of Small Molecule Libraries for NMR Screening and Other Applications in Drug Discovery
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Overview of QSAR Modelling in Rational Drug Design
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Quantitative Modeling for Prediction of Critical Temperature of Refrigerant Compounds
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The search for reliable aqueous solubility (Sw) and octanol-water partition coefficient (Kow) data for hydrophobic organic compounds; DDT and DDE as a case study
inferred← citeshttps://doi.org/10.32657/10356/50365openalex-snapshot
Biodegradable ocular implant for sustained drug delivery
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Novel GA-Based DNN Architecture for Identifying the Failure Mode with High Accuracy and Analyzing Its Effects on the System
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Predicting Aqueous Solubility of Chlorinated Hydrocarbons by the MCI Approach
inferred← citeshttps://doi.org/10.3390/molecules23010145openalex-snapshot
Investigation into Improving the Aqueous Solubility of the Thieno[2,3-b]pyridine Anti-Proliferative Agents
inferred← citeshttps://doi.org/10.3390/molecules29010019openalex-snapshot
Extreme Gradient Boosting Combined with Conformal Predictors for Informative Solubility Estimation
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Role of the Computational Intelligence in Drugs Discovery and Design: Introduction, Techniques and Software
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Prediction of aqueous intrinsic solubility of druglike molecules using Random Forest regression trained with Wiki-pS0 database
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