The Influence of Solid State Information and Descriptor Selection on Statistical Models of Temperature Dependent Aqueous Solubility

Journal of Cheminformatics - United Kingdom
doi 10.1186/s13321-018-0298-3
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Springer Science and Business Media LLC

Related search

Models to Predict pH–dependent Aqueous Solubility of Chemically Diverse Druglike Compounds

2019English

Prediction of pH-Dependent Aqueous Solubility of Druglike Molecules

English

Prediction of pH-Dependent Aqueous Solubility of Druglike Molecules

English

Solubility and Solubility-Limiting Solid Phase in M(iv)-Oh-Dicarboxylate Ternary Aqueous System

Journal of Nuclear Science and Technology
High Energy PhysicsNuclearEngineeringNuclear Energy
2011English

Random Forest Models to Predict Aqueous Solubility

English

Temperature-Dependent Analytical Thermal Model for End-Pumped Solid-State Lasers

2017English

The Intrinsic Aqueous Solubility of Indomethacin

ADMET and DMPK
PharmacologyHealthMedicineToxicologyChemistryPharmaceutics
2014English

Detecting Selection on Protein Stability Through Statistical Mechanical Models of Folding and Evolution

Biomolecules
BiochemistryMolecular Biology
2014English

Room-Temperature Solid-State Maser

Nature
Multidisciplinary
2012English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy