Literature DB >> 11277722

Prediction of drug solubility by the general solubility equation (GSE).

Y Ran1, S H Yalkowsky.   

Abstract

The revised general solubility equation (GSE) proposed by Jain and Yalkowsky is used to estimate the aqueous solubility of a set of organic nonelectrolytes studied by Jorgensen and Duffy. The only inputs used in the GSE are the Celsius melting point (MP) and the octanol water partition coefficient (K(ow)). These are generally known, easily measured, or easily calculated. The GSE does not utilize any fitted parameters. The average absolute error for the 150 compounds is 0.43 compared to 0.56 with Jorgensen and Duffy's computational method, which utilitizes five fitted parameters. Thus, the revised GSE is simpler and provides a more accurate estimation of aqueous solubility of the same set of organic compounds. It is also more accurate than the original version of the GSE.

Entities:  

Mesh:

Substances:

Year:  2001        PMID: 11277722     DOI: 10.1021/ci000338c

Source DB:  PubMed          Journal:  J Chem Inf Comput Sci        ISSN: 0095-2338


  23 in total

1.  Estimation of aqueous solubility of organic compounds with QSPR approach.

Authors:  Hua Gao; Veerabahu Shanmugasundaram; Pil Lee
Journal:  Pharm Res       Date:  2002-04       Impact factor: 4.200

2.  Solubility prediction by recursive partitioning.

Authors:  Xiaoyang Xia; Edward Maliski; Janet Cheetham; Leszek Poppe
Journal:  Pharm Res       Date:  2003-10       Impact factor: 4.200

3.  In silico prediction of aqueous solubility, human plasma protein binding and volume of distribution of compounds from calculated pKa and AlogP98 values.

Authors:  Mario Lobell; Vinothini Sivarajah
Journal:  Mol Divers       Date:  2003       Impact factor: 2.943

4.  Multi-channel GCN ensembled machine learning model for molecular aqueous solubility prediction on a clean dataset.

Authors:  Chenglong Deng; Li Liang; Guomeng Xing; Yi Hua; Tao Lu; Yanmin Zhang; Yadong Chen; Haichun Liu
Journal:  Mol Divers       Date:  2022-06-23       Impact factor: 2.943

5.  Uniting cheminformatics and chemical theory to predict the intrinsic aqueous solubility of crystalline druglike molecules.

Authors:  James L McDonagh; Neetika Nath; Luna De Ferrari; Tanja van Mourik; John B O Mitchell
Journal:  J Chem Inf Model       Date:  2014-03-11       Impact factor: 4.956

6.  Effect of Microenvironmental pH Modulation on the Dissolution Rate and Oral Absorption of the Salt of a Weak Acid - Case Study of GDC-0810.

Authors:  Hao Helen Hou; Wei Jia; Lichuan Liu; Sravanthi Cheeti; Jane Li; Ewa Nauka; Karthik Nagapudi
Journal:  Pharm Res       Date:  2018-01-29       Impact factor: 4.200

7.  ClassicalGSG: Prediction of log P using classical molecular force fields and geometric scattering for graphs.

Authors:  Nazanin Donyapour; Matthew Hirn; Alex Dickson
Journal:  J Comput Chem       Date:  2021-03-30       Impact factor: 3.672

8.  Computational prediction of drug solubility in fasted simulated and aspirated human intestinal fluid.

Authors:  Jonas H Fagerberg; Eva Karlsson; Johan Ulander; Gunilla Hanisch; Christel A S Bergström
Journal:  Pharm Res       Date:  2014-09-04       Impact factor: 4.200

Review 9.  QSPR studies on aqueous solubilities of drug-like compounds.

Authors:  Pablo R Duchowicz; Eduardo A Castro
Journal:  Int J Mol Sci       Date:  2009-06-03       Impact factor: 6.208

10.  Machine learning methods in chemoinformatics.

Authors:  John B O Mitchell
Journal:  Wiley Interdiscip Rev Comput Mol Sci       Date:  2014-09-01
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.